Python For Deep Learning - I | Python Basics | Python Tutorial | Python Training | Edureka Live
7 likes832 views
In this tutorial, we will be covering all the fundamentals of Python required for implementing deep learning models. Below are the topics we will cover in this tutorial: 1. What is Python? 2. Variables, Data Types, Operators 3. Conditional Statements, Loops, Functions 4. Pandas, Numpy and Matplotlib
1 of 22
Ad
Recommended
Top 10 Programming Languages | Programming Languages For Beginners | Computer...
Top 10 Programming Languages | Programming Languages For Beginners | Computer...Edureka! This Edureka "Top 10 Programming Languages Of 2017" tutorial will introduce you to various programming languages which are popular and trending in the market today. This video will also introduce you to different frameworks these programming languages have and the applications they are used for.
We request you to put your list of top 10 programming languages in the comment section.
Introduction to Artificial Intelligence | AI using Deep Learning | Edureka
Introduction to Artificial Intelligence | AI using Deep Learning | EdurekaEdureka! The document discusses artificial intelligence and deep learning. It begins with defining AI and its applications, and then discusses machine learning as a subset of AI. Deep learning is presented as a solution to the limitations of machine learning for complex tasks like image recognition. Deep learning uses neural networks with multiple layers to learn representations of data with little human guidance. Examples of deep learning applications discussed include machine translation, image classification, and Google Lens.
Machine Learning In Python | Python Machine Learning Tutorial | Deep Learning...
Machine Learning In Python | Python Machine Learning Tutorial | Deep Learning...Edureka! In this Edureka "Machine Learning" tutorial, we will be covering all the fundamentals of Machine Learning.
Below are the topics covered in this tutorial:
1. What is Machine Learning?
2. Machine Learning Applications
3. Types Of Machine Learning
4. Use-Case Demo
What is Django | Django Tutorial for Beginners | Python Django Training | Edu...
What is Django | Django Tutorial for Beginners | Python Django Training | Edu...Edureka! This Edureka “What is Django” tutorial will help you in understanding the fundamentals of Django and build a strong foundation in Django. It helps you to build a simple ‘hello world’ application to our main Login application. Below are the topics covered in this tutorial:
1. What is a Web framework?
2. What is Python Django?
3. Features of Django
4. Big Players who Use Django
5. Django Installation
6. How does Django Work?
7. Get started With Django
8. Demo - Login Application
Angular 4 Data Binding | Two Way Data Binding in Angular 4 | Angular 4 Tutori...
Angular 4 Data Binding | Two Way Data Binding in Angular 4 | Angular 4 Tutori...Edureka! This Angular 4 tutorial will introduce you to the Angular Data Binding concept.
To watch the YouTube videos in this Angular 4 tutorial playlist, click here: https://www.youtube.com/watch?v=R4wGCHzn6-Q&list=PL9ooVrP1hQOF4aDuqaWYWSuj1isPF6HHg.
Hadoop Tutorial | Big Data Hadoop Tutorial For Beginners | Hadoop Certificati...
Hadoop Tutorial | Big Data Hadoop Tutorial For Beginners | Hadoop Certificati...Edureka! This Edureka "Hadoop Tutorial" ( Hadoop Blog series: https://goo.gl/LFesy8 ) will help you to solve Big Data use-cases just like a data analyst. You will learn all the concepts of both Hadoop & Spark. You will also learn k means clustering and zeppelin to visualize your data.
Below are the topics covered in this tutorial:
1. Big Data Use Cases - US Election & Instant Cabs
2. Solution strategy of the use cases
3. Hadoop & Spark Introduction
4. Hadoop Master/Slave Architecture
5. Hadoop Core Components
6. HDFS Data Blocks
7. HDFS Read/Write Mechanism
8.YARN Components
9. Spark Components
10.Spark Architecture
11. K-Means and Zeppelin
12.Implementing Solution of the use cases using Hadoop, Spark and other big data tools.
Git Merge Conflict Tutorial | Resolving Merge Conflicts In Git | DevOps Train...
Git Merge Conflict Tutorial | Resolving Merge Conflicts In Git | DevOps Train...Edureka! The document discusses different Git workflows including centralized, feature branch, and GitFlow workflows. It provides diagrams to illustrate how each workflow functions. It also covers Git commands and how to handle merge conflicts that can occur when integrating changes from multiple branches.
AWS Autoscaling | Autoscaling and Load Balancing in AWS | AWS Training | Edureka
AWS Autoscaling | Autoscaling and Load Balancing in AWS | AWS Training | EdurekaEdureka! In this tutorial, you will understand Autoscaling and LoadBalacing service in AWS. Towards the end, you will also be given a demo on how to autoscale the resources to make them highly available. Also, we will see how we can divert our traffic to different servers based on their path name.
We will be covering the following topics today:
1. What are Snapshots and AMIs?
2. Why AutoScaling?
3. What is AutoScaling?
4. What is a Load Balancer?
5. Hands-on
Python Django tutorial | Getting Started With Django | Web Development With D...
Python Django tutorial | Getting Started With Django | Web Development With D...Edureka! This tutorial will help to learn what Django framework is and how it is used for web development. Below are the topics covered in this Python Django tutorial:
1. What is a Web Framework?
2. Why Python Django?
3. What is Django?
4. Companies using Django
5. Django Installation
6. Django MVC- MVT Pattern
7. Demo - Get Started with Django
Android Studio Tutorial For Beginners | Android Tutorial | Android Training |...
Android Studio Tutorial For Beginners | Android Tutorial | Android Training |...Edureka! This Edureka Android Studio Tutorial will help you learn the basics of Android Studio. It is ideal for both beginners and professionals who want to brush up the basics of Android. This tutorial provides knowledge on the following topics:
1. What is Android Studio?
2. Android Stack
3. Installation
4. What is an Activity?
5. Activity Life Cycle
6. Event Listeners
7. Intents
8. Demo
Microsoft Azure Fundamentals
Microsoft Azure FundamentalsIntellipaat YouTube link : https://www.youtube.com/watch?v=xJ0Lb1D46_A
Intellipaat Azure training : https://intellipaat.com/microsoft-azure-training/
Read complete Azure tutorial here: https://intellipaat.com/blog/tutorial/microsoft-azure-tutorial/
Deep Learning Tutorial | Deep Learning Tutorial for Beginners | Neural Networ...
Deep Learning Tutorial | Deep Learning Tutorial for Beginners | Neural Networ...Edureka! This Edureka "Deep Learning Tutorial" (Blog: https://goo.gl/4zxMfU) will help you to understand about Deep Learning concepts in detail with multiple examples using TensorFlow. This Deep Learning tutorial is ideal for beginners who want to learn about deep learning, artificial intelligence, neural networks, tensorflow from scratch. Below are the topics covered in this tutorial:
1. What Is Deep Learning?
2. How Deep Learning Works?
3. Single Layer Perceptron (Early Deep Learning Models)
4. Single Layer Perceptron Examples
5. Limitations Of Single Layer Perceptron
6. Multi Layer Perceptron
7. Multi Layer Perceptron Examples
8. Demo on Deep Learning With TensorFlow
What is deep learning (and why you should care) - Talk at SJSU Oct 2018
What is deep learning (and why you should care) - Talk at SJSU Oct 2018Hagay Lupesko The document discusses deep learning and provides an overview of key concepts such as how deep learning differs from and improves upon traditional machine learning methods. It also provides examples of deep learning applications in areas like self-driving cars and sentiment analysis. Additionally, it introduces the Apache MXNet deep learning framework and Amazon SageMaker for building and deploying deep learning models.
Creating Chatbots Using TensorFlow | Chatbot Tutorial | Deep Learning Trainin...
Creating Chatbots Using TensorFlow | Chatbot Tutorial | Deep Learning Trainin...Edureka! ** AI & Deep Learning with Tensorflow Training: https://www.edureka.co/ai-deep-learning-with-tensorflow **
This Edureka tutorial of "Chatbots using TensorFlow" gives you an idea about what are chatbots and how did they come into existence. It provides a brief introduction about all the layers involved in creating a chatbot using TensorFlow and Machine Learning.
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Python Basics | Python Tutorial | Edureka
Python Basics | Python Tutorial | EdurekaEdureka! Youtube Link: https://youtu.be/woVJ4N5nl_s
** Python Certification Training: https://www.edureka.co/data-science-python-certification-course **
This Edureka PPT on 'Python Basics' will help you understand what exactly makes Python special and covers all the basics of Python programming along with examples.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Python
PythonChetan Khanzode This document provides an overview of Python basics for data analysis, including introductions to key Python packages like NumPy, Pandas, and Matplotlib. It covers fundamental Python concepts like data types, operators, conditional statements, loops and functions. It also demonstrates how to load and manipulate data with NumPy arrays and Pandas DataFrames, including indexing, slicing, grouping, merging, and handling missing values. Visualization with Matplotlib charts is also covered.
Revision for Python for Artificial Intelligence Labs
Revision for Python for Artificial Intelligence LabsFaculty of Computers and Artificial Intelligence Revision for Python code for AI projects
Introduction to programming with python
Introduction to programming with pythonPorimol Chandro Introduction to programming with python slides from the seminar held in "World University of Bangladesh(WUB)"
Introduction To Python
Introduction To PythonVanessa Rene Python is an interpreted programming language created by Guido van Rossum in 1991. It has an elegant syntax, large standard library, and is used widely for data science, machine learning, web development, and more. Key Python libraries for data analysis include NumPy, pandas, and matplotlib. Pandas allows importing and cleaning data from files like CSVs, and matplotlib can be used to visualize and present analyzed data. For example, a program can use pandas to read baby name data from a CSV, find the most popular name with the highest birth count, and plot the results to clearly present the findings.
Python for dummies
Python for dummiesRoberto Stefanetti Python is an open source programming language created in 1991 by Guido van Rossum to be easy to read. It is used by many large companies like NASA, Facebook, Google, and IBM in their core products and services. Python can be used for desktop apps, mobile apps, web apps, AI, machine learning, IoT, and more. It supports object oriented programming, is interpreted and extensible with libraries, and can be run on Windows and Linux. Popular Python web frameworks include Django and Flask.
Python Essentials - PICT.pdf
Python Essentials - PICT.pdfPrashant Jamkhande The document provides an overview of essential Python concepts including:
1. It introduces Python data types like integers, floats, strings, lists, tuples, sets, and dictionaries.
2. It covers Python control structures like conditionals, loops, functions, classes and modules.
3. It discusses key Python programming concepts like duck typing, type conversion, slicing, multiple assignments and higher order functions.
4. It provides recommendations on performance improvements, virtual environments, and popular Python web frameworks.
Python Programming Tutorial | Edureka
Python Programming Tutorial | EdurekaEdureka! YouTube Link:https://youtu.be/CVv8zhYEjUE
Edureka Python Certification Training: https://www.edureka.co/data-science-python-certification-course
This Edureka PPT on 'Python Programming' will help you learn Python programming basics with the help of interesting hands-on implementations.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Python-Mastering-the-Language-of-Data-Science.pptx
Python-Mastering-the-Language-of-Data-Science.pptxdmdHaneef This presentation provides an introduction to the Python programming language. It covers Python's basics like data types, variables, conditional statements, loops, functions, modules, file handling, object-oriented programming concepts, and popular Python libraries for data science like Pandas, Django, and Numpy. The goal is to give attendees a solid understanding of Python and how it is used widely in fields like data science, machine learning, and artificial intelligence.
Introduction to Python.pdf
Introduction to Python.pdfRahul Mogal - Python is a programming language created by Guido van Rossum in 1991. It has two major versions: Python 2.0 released in 2000 and Python 3.0 released in 2008. Python 3.0 is the latest version and is not completely backward compatible with Python 2.0.
- Python is used for machine learning, data science, web development, game development, and more. Popular frameworks include TensorFlow, Pandas, Django, and PyGame.
- The document discusses installing Python, different integrated development environments (IDEs) like PyCharm and Visual Studio Code, and covers basic Python concepts like data types, variables, operators, and more.
Python PPT.pptx
Python PPT.pptxJosephMuez2 This document provides an overview of Python and introduces some of its key concepts. It discusses Python's origins in the late 1980s and its increasing popularity today. The document outlines Python's main features like being easy to use, interpreted, high-level, dynamically typed, extensible, and having many available libraries. It also lists some common uses of Python like for web applications, data analytics, AI/ML, business, and more. Finally, the document introduces lessons on installing Python/PyCharm, understanding data types, working with numbers and strings, and using tuples and lists.
An Introduction : Python
An Introduction : PythonRaghu Kumar Python is an interpreted, general-purpose, high-level programming language. It allows programmers to define functions for reusing code and scoping variables within functions. Key concepts covered include objects, expressions, conditionals, loops, modules, files, and recursion. Functions can call other functions, allowing for modular and reusable code.
Presentation pythonpppppppppppppppppppppppppppppppppyyyyyyyyyyyyyyyyyyytttttt...
Presentation pythonpppppppppppppppppppppppppppppppppyyyyyyyyyyyyyyyyyyytttttt...manikbuma asdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhh
More Related Content
What's hot (6)
Python Django tutorial | Getting Started With Django | Web Development With D...
Python Django tutorial | Getting Started With Django | Web Development With D...Edureka! This tutorial will help to learn what Django framework is and how it is used for web development. Below are the topics covered in this Python Django tutorial:
1. What is a Web Framework?
2. Why Python Django?
3. What is Django?
4. Companies using Django
5. Django Installation
6. Django MVC- MVT Pattern
7. Demo - Get Started with Django
Android Studio Tutorial For Beginners | Android Tutorial | Android Training |...
Android Studio Tutorial For Beginners | Android Tutorial | Android Training |...Edureka! This Edureka Android Studio Tutorial will help you learn the basics of Android Studio. It is ideal for both beginners and professionals who want to brush up the basics of Android. This tutorial provides knowledge on the following topics:
1. What is Android Studio?
2. Android Stack
3. Installation
4. What is an Activity?
5. Activity Life Cycle
6. Event Listeners
7. Intents
8. Demo
Microsoft Azure Fundamentals
Microsoft Azure FundamentalsIntellipaat YouTube link : https://www.youtube.com/watch?v=xJ0Lb1D46_A
Intellipaat Azure training : https://intellipaat.com/microsoft-azure-training/
Read complete Azure tutorial here: https://intellipaat.com/blog/tutorial/microsoft-azure-tutorial/
Deep Learning Tutorial | Deep Learning Tutorial for Beginners | Neural Networ...
Deep Learning Tutorial | Deep Learning Tutorial for Beginners | Neural Networ...Edureka! This Edureka "Deep Learning Tutorial" (Blog: https://goo.gl/4zxMfU) will help you to understand about Deep Learning concepts in detail with multiple examples using TensorFlow. This Deep Learning tutorial is ideal for beginners who want to learn about deep learning, artificial intelligence, neural networks, tensorflow from scratch. Below are the topics covered in this tutorial:
1. What Is Deep Learning?
2. How Deep Learning Works?
3. Single Layer Perceptron (Early Deep Learning Models)
4. Single Layer Perceptron Examples
5. Limitations Of Single Layer Perceptron
6. Multi Layer Perceptron
7. Multi Layer Perceptron Examples
8. Demo on Deep Learning With TensorFlow
What is deep learning (and why you should care) - Talk at SJSU Oct 2018
What is deep learning (and why you should care) - Talk at SJSU Oct 2018Hagay Lupesko The document discusses deep learning and provides an overview of key concepts such as how deep learning differs from and improves upon traditional machine learning methods. It also provides examples of deep learning applications in areas like self-driving cars and sentiment analysis. Additionally, it introduces the Apache MXNet deep learning framework and Amazon SageMaker for building and deploying deep learning models.
Creating Chatbots Using TensorFlow | Chatbot Tutorial | Deep Learning Trainin...
Creating Chatbots Using TensorFlow | Chatbot Tutorial | Deep Learning Trainin...Edureka! ** AI & Deep Learning with Tensorflow Training: https://www.edureka.co/ai-deep-learning-with-tensorflow **
This Edureka tutorial of "Chatbots using TensorFlow" gives you an idea about what are chatbots and how did they come into existence. It provides a brief introduction about all the layers involved in creating a chatbot using TensorFlow and Machine Learning.
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Similar to Python For Deep Learning - I | Python Basics | Python Tutorial | Python Training | Edureka Live (20)
Python Basics | Python Tutorial | Edureka
Python Basics | Python Tutorial | EdurekaEdureka! Youtube Link: https://youtu.be/woVJ4N5nl_s
** Python Certification Training: https://www.edureka.co/data-science-python-certification-course **
This Edureka PPT on 'Python Basics' will help you understand what exactly makes Python special and covers all the basics of Python programming along with examples.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Python
PythonChetan Khanzode This document provides an overview of Python basics for data analysis, including introductions to key Python packages like NumPy, Pandas, and Matplotlib. It covers fundamental Python concepts like data types, operators, conditional statements, loops and functions. It also demonstrates how to load and manipulate data with NumPy arrays and Pandas DataFrames, including indexing, slicing, grouping, merging, and handling missing values. Visualization with Matplotlib charts is also covered.
Revision for Python for Artificial Intelligence Labs
Revision for Python for Artificial Intelligence LabsFaculty of Computers and Artificial Intelligence Revision for Python code for AI projects
Introduction to programming with python
Introduction to programming with pythonPorimol Chandro Introduction to programming with python slides from the seminar held in "World University of Bangladesh(WUB)"
Introduction To Python
Introduction To PythonVanessa Rene Python is an interpreted programming language created by Guido van Rossum in 1991. It has an elegant syntax, large standard library, and is used widely for data science, machine learning, web development, and more. Key Python libraries for data analysis include NumPy, pandas, and matplotlib. Pandas allows importing and cleaning data from files like CSVs, and matplotlib can be used to visualize and present analyzed data. For example, a program can use pandas to read baby name data from a CSV, find the most popular name with the highest birth count, and plot the results to clearly present the findings.
Python for dummies
Python for dummiesRoberto Stefanetti Python is an open source programming language created in 1991 by Guido van Rossum to be easy to read. It is used by many large companies like NASA, Facebook, Google, and IBM in their core products and services. Python can be used for desktop apps, mobile apps, web apps, AI, machine learning, IoT, and more. It supports object oriented programming, is interpreted and extensible with libraries, and can be run on Windows and Linux. Popular Python web frameworks include Django and Flask.
Python Essentials - PICT.pdf
Python Essentials - PICT.pdfPrashant Jamkhande The document provides an overview of essential Python concepts including:
1. It introduces Python data types like integers, floats, strings, lists, tuples, sets, and dictionaries.
2. It covers Python control structures like conditionals, loops, functions, classes and modules.
3. It discusses key Python programming concepts like duck typing, type conversion, slicing, multiple assignments and higher order functions.
4. It provides recommendations on performance improvements, virtual environments, and popular Python web frameworks.
Python Programming Tutorial | Edureka
Python Programming Tutorial | EdurekaEdureka! YouTube Link:https://youtu.be/CVv8zhYEjUE
Edureka Python Certification Training: https://www.edureka.co/data-science-python-certification-course
This Edureka PPT on 'Python Programming' will help you learn Python programming basics with the help of interesting hands-on implementations.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Python-Mastering-the-Language-of-Data-Science.pptx
Python-Mastering-the-Language-of-Data-Science.pptxdmdHaneef This presentation provides an introduction to the Python programming language. It covers Python's basics like data types, variables, conditional statements, loops, functions, modules, file handling, object-oriented programming concepts, and popular Python libraries for data science like Pandas, Django, and Numpy. The goal is to give attendees a solid understanding of Python and how it is used widely in fields like data science, machine learning, and artificial intelligence.
Introduction to Python.pdf
Introduction to Python.pdfRahul Mogal - Python is a programming language created by Guido van Rossum in 1991. It has two major versions: Python 2.0 released in 2000 and Python 3.0 released in 2008. Python 3.0 is the latest version and is not completely backward compatible with Python 2.0.
- Python is used for machine learning, data science, web development, game development, and more. Popular frameworks include TensorFlow, Pandas, Django, and PyGame.
- The document discusses installing Python, different integrated development environments (IDEs) like PyCharm and Visual Studio Code, and covers basic Python concepts like data types, variables, operators, and more.
Python PPT.pptx
Python PPT.pptxJosephMuez2 This document provides an overview of Python and introduces some of its key concepts. It discusses Python's origins in the late 1980s and its increasing popularity today. The document outlines Python's main features like being easy to use, interpreted, high-level, dynamically typed, extensible, and having many available libraries. It also lists some common uses of Python like for web applications, data analytics, AI/ML, business, and more. Finally, the document introduces lessons on installing Python/PyCharm, understanding data types, working with numbers and strings, and using tuples and lists.
An Introduction : Python
An Introduction : PythonRaghu Kumar Python is an interpreted, general-purpose, high-level programming language. It allows programmers to define functions for reusing code and scoping variables within functions. Key concepts covered include objects, expressions, conditionals, loops, modules, files, and recursion. Functions can call other functions, allowing for modular and reusable code.
Presentation pythonpppppppppppppppppppppppppppppppppyyyyyyyyyyyyyyyyyyytttttt...
Presentation pythonpppppppppppppppppppppppppppppppppyyyyyyyyyyyyyyyyyyytttttt...manikbuma asdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhasdfghahhh
Workshop on python
Workshop on pythonLifeparticle This document provides an overview of a workshop on the Python programming language. It discusses that Python is a dynamic, object-oriented language used for many types of development. It can be used on many operating systems and has a large standard library. The workshop covers where Python can be used, how to install Python, how to get started programming in Python, basic Python concepts like objects, expressions, and functions, and examples of Python programs and NASA's use of Python for open source projects.
Python Demo.pptx
Python Demo.pptxParveenShaik21 This document provides an overview and introduction to Python programming. It discusses Python basics like variables, data types, operators, conditionals, loops, functions and file handling. It also covers commonly used Python libraries and concepts in data analytics like NumPy, Pandas, Matplotlib and statistics. The document is intended as a whistle-stop tour to cover the most common aspects of Python.
Python in One Shot.docx
Python in One Shot.docxDeepakSingh710536 This document provides an introduction to Python programming including why Python is used, how to install Python, writing basic Python programs, variables, data types, operators, conditional statements, loops, lists, tuples, sets, dictionaries, and functions. It covers many fundamental Python concepts and provides examples to illustrate each concept.
Revision for Python for Artificial Intelligence Labs
Revision for Python for Artificial Intelligence LabsFaculty of Computers and Artificial Intelligence
Ad
More from Edureka! (20)
What to learn during the 21 days Lockdown | Edureka
What to learn during the 21 days Lockdown | EdurekaEdureka! Register Here: https://resources.edureka.co/21-days-learning-plan-webinar/
In light of the complete national lockdown for 21 days, we invite you to join a FREE webinar by renowned Mentor and Advisor, Nitin Gupta as he helps you create a 21-day learning gameplan to maximize returns for your career.
The webinar will help freshers and experienced professionals to capitalize on these 21 days and figure out the best technologies to learn while confined to home.
You will also get all your questions and doubts resolved in real-time.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Meetup: https://www.meetup.com/edureka/
Top 10 Dying Programming Languages in 2020 | Edureka
Top 10 Dying Programming Languages in 2020 | EdurekaEdureka! YouTube Link: https://youtu.be/LSM7hD6GM4M
Get Edureka Certified in Trending Programming Languages: https://www.edureka.co
In this highly competitive IT industry, everyone wants to learn programming languages that will keep them ahead of the game. But knowing what to learn so you gain the most out of your knowledge is a whole other ball game. So, we at Edureka have prepared a list of Top 10 Dying Programming Languages 2020 that will help you to make the right choice for your career. Meanwhile, if you ever wondered about which languages are slated for continuing uptake and possible greatness, we have a list for that, too.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Top 5 Trending Business Intelligence Tools | Edureka
Top 5 Trending Business Intelligence Tools | EdurekaEdureka! YouTube Link: https://youtu.be/eEwq_mPd1iI
Edureka BI Certification Training Courses: https://www.edureka.co/bi-and-visualization-certification-courses
Receiving insights and finding trends is absolutely critical for businesses to scale and adapt as the years go on. This is exactly what business intelligence does and the best thing about these software solutions is that their potential uses are practically unlimited.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Tableau Tutorial for Data Science | Edureka
Tableau Tutorial for Data Science | EdurekaEdureka! YouTube Link:https://youtu.be/ZHNdSKMluI0
Edureka Tableau Certification Training: https://www.edureka.co/tableau-certification-training
This Edureka's PPT on "Tableau for Data Science" will help you to utilize Tableau as a tool for Data Science, not only for engagement but also comprehension efficiency. Through this PPT, you will learn to gain the maximum amount of insight with the least amount of effort.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Top 5 PMP Certifications | Edureka
Top 5 PMP Certifications | EdurekaEdureka! YouTube Link:https://youtu.be/LvgqSMlIXFs
Get Edureka Certified in Trending Project Management Certifications: https://www.edureka.co/project-management-and-methodologies-certification-courses
Whether you want to scale up your career or are trying to switch your career path, Project Management Certifications seems to be a perfect choice in either case. So, we at Edureka have prepared a list of Top 5 Project Management Certifications that you must check out in 2020 for a major career boost.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Top Maven Interview Questions in 2020 | Edureka
Top Maven Interview Questions in 2020 | EdurekaEdureka! YouTube Link: https://youtu.be/5iTcAR4fScM
**DevOps Certification Courses - https://www.edureka.co/devops-certification-training***
This video on 'Maven Interview Questions' discusses the most frequently asked Maven Interview Questions. This PPT will help give you a detailed explanation of the topics which will help you in acing the interviews.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Linux Mint Tutorial | Edureka
Linux Mint Tutorial | EdurekaEdureka! YouTube Link: https://youtu.be/xHUiYEIcY_I
** Linux Administration Certification Training - https://www.edureka.co/linux-admin **
Linux Mint is the first operating system that people from Windows or Mac are drawn towards when they have to switch to Linux in their work environment. Linux Mint has been around since the year 2006 and has grown and matured into a very user-friendly OS. Do watch the PPT till the very end to see all the demonstrations.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
How to Deploy Java Web App in AWS| Edureka
How to Deploy Java Web App in AWS| EdurekaEdureka! YouTube Link:https://youtu.be/Ozc5Yu_IcaI
** Edureka AWS Architect Certification Training - https://www.edureka.co/aws-certification-training**
This Edureka PPT shows how to deploy a java web application in AWS using AWS Elastic Beanstalk. It also describes the advantages of using AWS for this purpose.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Importance of Digital Marketing | Edureka
Importance of Digital Marketing | EdurekaEdureka! YouTube Link:https://youtu.be/phPCkkWT76k
*** Edureka Digital Marketing Course: https://www.edureka.co/post-graduate/digital-marketing-certification***
This Edureka PPT on "Top 10 Reasons to Learn Digital Marketing" will help you understand why you should take up Digital Marketing
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
RPA in 2020 | Edureka
RPA in 2020 | EdurekaEdureka! YouTube Link: https://youtu.be/R132INtDg9k
** RPA Training: https://www.edureka.co/robotic-process-automation-training**
This PPT on RPA in 2020 will provide a glimpse of the accomplishments and benefits provided by RPA. Also, it will list out the new changes and technologies that will collaborate with RPA in 2020.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Email Notifications in Jenkins | Edureka
Email Notifications in Jenkins | EdurekaEdureka! YouTube Link: https://youtu.be/mb8WOHejlT8
**DevOps Certification Courses - https://www.edureka.co/devops-certification-training **
This PPT shows how to configure Jenkins to receive email notifications. It also includes a demo that shows how to do it in 6 simple steps in the Windows machine.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
EA Algorithm in Machine Learning | Edureka
EA Algorithm in Machine Learning | EdurekaEdureka! YouTube Link: https://youtu.be/DIADjJXrgps
** Machine Learning Certification Training: https://www.edureka.co/machine-learning-certification-training **
This Edureka PPT on 'EM Algorithm In Machine Learning' covers the EM algorithm along with the problem of latent variables in maximum likelihood and Gaussian mixture model.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Cognitive AI Tutorial | Edureka
Cognitive AI Tutorial | EdurekaEdureka! Cognitive computing aims to mimic human reasoning and behavior to solve complex problems. It works by simulating human thought processes through adaptive, interactive, iterative and contextual means. Cognitive computing supplements human decision making in sectors like customer service and healthcare, while artificial intelligence focuses more on autonomous decision making with applications in finance, security and more. A use case of cognitive AI is using it to assess skills, find relevant jobs, negotiate pay, suggest career paths and provide salary comparisons and job openings to help humans.
AWS Cloud Practitioner Tutorial | Edureka
AWS Cloud Practitioner Tutorial | EdurekaEdureka! YouTube Link: https://youtu.be/0djPrlaxx_U
Edureka AWS Architect Certification Training - https://www.edureka.co/aws-certification-training
This Edureka PPT on AWS Cloud Practitioner will provide a complete guide to your AWS Cloud Practitioner Certification exam. It will explain the exam details, objectives, why you should get certified and also how AWS certification will help your career.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Blue Prism Top Interview Questions | Edureka
Blue Prism Top Interview Questions | EdurekaEdureka! YouTube Link: https://youtu.be/ykbRdUNIbyQ
** RPA Training: https://www.edureka.co/robotic-process-automation-certification-courses**
This PPT on Blue Prism Interview Questions will cover the Top 50 Blue Prism related questions asked in your interviews.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Big Data on AWS Tutorial | Edureka 
Big Data on AWS Tutorial | Edureka Edureka! YouTube Link: https://youtu.be/ge4qhkl9uKg
AWS Architect Certification Training: https://www.edureka.co/aws-certification-training
This PPT will help you in understanding how AWS deals smartly with Big Data. It also shows how AWS can solve Big Data challenges with ease.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
A star algorithm | A* Algorithm in Artificial Intelligence | Edureka
A star algorithm | A* Algorithm in Artificial Intelligence | EdurekaEdureka! YouTube Link: https://youtu.be/amlkE0g-YFU
** Artificial Intelligence and Deep Learning: https://www.edureka.co/ai-deep-learni... **
This Edureka PPT on 'A Star Algorithm' teaches you all about the A star Algorithm, the uses, advantages and disadvantages and much more. It also shows you how the algorithm can be implemented practically and has a comparison between the Dijkstra and itself.
Check out our playlist for more videos: http://bit.ly/2taym8X
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Kubernetes Installation on Ubuntu | Edureka
Kubernetes Installation on Ubuntu | EdurekaEdureka! YouTube Link: https://youtu.be/UWg3ORRRF60
Kubernetes Certification: https://www.edureka.co/kubernetes-certification
This Edureka PPT will help you set up a Kubernetes cluster having 1 master and 1 node. The detailed step by step instructions is demonstrated in this PPT.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Introduction to DevOps | Edureka
Introduction to DevOps | EdurekaEdureka! YouTube Link: https://youtu.be/GJQ36pIYbic
DevOps Training: https://www.edureka.co/devops-certification-training
This Edureka DevOps Tutorial for Beginners talks about What is DevOps and how it works. You will learn about several DevOps tools (Git, Jenkins, Docker, Puppet, Ansible, Nagios) involved at different DevOps stages such as version control, continuous integration, continuous delivery, continuous deployment, continuous monitoring.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
ITIL® Tutorial for Beginners | ITIL® Foundation Training | Edureka
ITIL® Tutorial for Beginners | ITIL® Foundation Training | EdurekaEdureka! YouTube Link: https://www.youtube.com/watch?v=ocYToLN9vrQ
** ITIL® Foundation Certification Training: https://www.edureka.co/itil-foundation-sp**
This Edureka video on 'ITIL® Tutorial for Beginners' will help you understand ITIL® Foundation and the various fundamental concepts surrounding this certification. It will also talk about why one should do ITIL® Certification and how it helps an organization in delivering valuable services to its customers.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Ad
Recently uploaded (20)
June Patch Tuesday
June Patch TuesdayIvanti Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Developing Schemas with FME and Excel - Peak of Data & AI 2025
Developing Schemas with FME and Excel - Peak of Data & AI 2025Safe Software When working with other team members who may not know the Esri GIS platform or may not be database professionals; discussing schema development or changes can be difficult. I have been using Excel to help illustrate and discuss schema design/changes during meetings and it has proven a useful tool to help illustrate how a schema will be built. With just a few extra columns, that Excel file can be sent to FME to create new feature classes/tables. This presentation will go thru the steps needed to accomplish this task and provide some lessons learned and tips/tricks that I use to speed the process.
Integration of Utility Data into 3D BIM Models Using a 3D Solids Modeling Wor...
Integration of Utility Data into 3D BIM Models Using a 3D Solids Modeling Wor...Safe Software Jacobs has developed a 3D utility solids modelling workflow to improve the integration of utility data into 3D Building Information Modeling (BIM) environments. This workflow, a collaborative effort between the New Zealand Geospatial Team and the Australian Data Capture Team, employs FME to convert 2D utility data into detailed 3D representations, supporting enhanced spatial analysis and clash detection.
To enable the automation of this process, Jacobs has also developed a survey data standard that standardizes the capture of existing utilities. This standard ensures consistency in data collection, forming the foundation for the subsequent automated validation and modelling steps. The workflow begins with the acquisition of utility survey data, including attributes such as location, depth, diameter, and material of utility assets like pipes and manholes. This data is validated through a custom-built tool that ensures completeness and logical consistency, including checks for proper connectivity between network components. Following validation, the data is processed using an automated modelling tool to generate 3D solids from 2D geometric representations. These solids are then integrated into BIM models to facilitate compatibility with 3D workflows and enable detailed spatial analyses.
The workflow contributes to improved spatial understanding by visualizing the relationships between utilities and other infrastructure elements. The automation of validation and modeling processes ensures consistent and accurate outputs, minimizing errors and increasing workflow efficiency.
This methodology highlights the application of FME in addressing challenges associated with geospatial data transformation and demonstrates its utility in enhancing data integration within BIM frameworks. By enabling accurate 3D representation of utility networks, the workflow supports improved design collaboration and decision-making in complex infrastructure projects
Enabling BIM / GIS integrations with Other Systems with FME
Enabling BIM / GIS integrations with Other Systems with FMESafe Software Jacobs has successfully utilized FME to tackle the complexities of integrating diverse data sources in a confidential $1 billion campus improvement project. The project aimed to create a comprehensive digital twin by merging Building Information Modeling (BIM) data, Construction Operations Building Information Exchange (COBie) data, and various other data sources into a unified Geographic Information System (GIS) platform. The challenge lay in the disparate nature of these data sources, which were siloed and incompatible with each other, hindering efficient data management and decision-making processes.
To address this, Jacobs leveraged FME to automate the extraction, transformation, and loading (ETL) of data between ArcGIS Indoors and IBM Maximo. This process ensured accurate transfer of maintainable asset and work order data, creating a comprehensive 2D and 3D representation of the campus for Facility Management. FME's server capabilities enabled real-time updates and synchronization between ArcGIS Indoors and Maximo, facilitating automatic updates of asset information and work orders. Additionally, Survey123 forms allowed field personnel to capture and submit data directly from their mobile devices, triggering FME workflows via webhooks for real-time data updates. This seamless integration has significantly enhanced data management, improved decision-making processes, and ensured data consistency across the project lifecycle.
How Advanced Environmental Detection Is Revolutionizing Oil & Gas Safety.pdf
How Advanced Environmental Detection Is Revolutionizing Oil & Gas Safety.pdfRejig Digital Unlock the future of oil & gas safety with advanced environmental detection technologies that transform hazard monitoring and risk management. This presentation explores cutting-edge innovations that enhance workplace safety, protect critical assets, and ensure regulatory compliance in high-risk environments.
🔍 What You’ll Learn:
✅ How advanced sensors detect environmental threats in real-time for proactive hazard prevention
🔧 Integration of IoT and AI to enable rapid response and minimize incident impact
📡 Enhancing workforce protection through continuous monitoring and data-driven safety protocols
💡 Case studies highlighting successful deployment of environmental detection systems in oil & gas operations
Ideal for safety managers, operations leaders, and technology innovators in the oil & gas industry, this presentation offers practical insights and strategies to revolutionize safety standards and boost operational resilience.
👉 Learn more: https://www.rejigdigital.com/blog/continuous-monitoring-prevent-blowouts-well-control-issues/
Establish Visibility and Manage Risk in the Supply Chain with Anchore SBOM
Establish Visibility and Manage Risk in the Supply Chain with Anchore SBOMAnchore Over 70% of any given software application consumes open source software (most likely not even from the original source) and only 15% of organizations feel confident in their risk management practices.
With the newly announced Anchore SBOM feature, teams can start safely consuming OSS while mitigating security and compliance risks. Learn how to import SBOMs in industry-standard formats (SPDX, CycloneDX, Syft), validate their integrity, and proactively address vulnerabilities within your software ecosystem.
Boosting MySQL with Vector Search -THE VECTOR SEARCH CONFERENCE 2025 .pdf
Boosting MySQL with Vector Search -THE VECTOR SEARCH CONFERENCE 2025 .pdfAlkin Tezuysal As the demand for vector databases and Generative AI continues to rise, integrating vector storage and search capabilities into traditional databases has become increasingly important. This session introduces the *MyVector Plugin*, a project that brings native vector storage and similarity search to MySQL. Unlike PostgreSQL, which offers interfaces for adding new data types and index methods, MySQL lacks such extensibility. However, by utilizing MySQL's server component plugin and UDF, the *MyVector Plugin* successfully adds a fully functional vector search feature within the existing MySQL + InnoDB infrastructure, eliminating the need for a separate vector database. The session explains the technical aspects of integrating vector support into MySQL, the challenges posed by its architecture, and real-world use cases that showcase the advantages of combining vector search with MySQL's robust features. Attendees will leave with practical insights on how to add vector search capabilities to their MySQL systems.
National Fuels Treatments Initiative: Building a Seamless Map of Hazardous Fu...
National Fuels Treatments Initiative: Building a Seamless Map of Hazardous Fu...Safe Software The National Fuels Treatments Initiative (NFT) is transforming wildfire mitigation by creating a standardized map of nationwide fuels treatment locations across all land ownerships in the United States. While existing state and federal systems capture this data in diverse formats, NFT bridges these gaps, delivering the first truly integrated national view. This dataset will be used to measure the implementation of the National Cohesive Wildland Strategy and demonstrate the positive impact of collective investments in hazardous fuels reduction nationwide. In Phase 1, we developed an ETL pipeline template in FME Form, leveraging a schema-agnostic workflow with dynamic feature handling intended for fast roll-out and light maintenance. This was key as the initiative scaled from a few to over fifty contributors nationwide. By directly pulling from agency data stores, oftentimes ArcGIS Feature Services, NFT preserves existing structures, minimizing preparation needs. External mapping tables ensure consistent attribute and domain alignment, while robust change detection processes keep data current and actionable. Now in Phase 2, we’re migrating pipelines to FME Flow to take advantage of advanced scheduling, monitoring dashboards, and automated notifications to streamline operations. Join us to explore how this initiative exemplifies the power of technology, blending FME, ArcGIS Online, and AWS to solve a national business problem with a scalable, automated solution.
Floods in Valencia: Two FME-Powered Stories of Data Resilience
Floods in Valencia: Two FME-Powered Stories of Data ResilienceSafe Software In October 2024, the Spanish region of Valencia faced severe flooding that underscored the critical need for accessible and actionable data. This presentation will explore two innovative use cases where FME facilitated data integration and availability during the crisis. The first case demonstrates how FME was used to process and convert satellite imagery and other geospatial data into formats tailored for rapid analysis by emergency teams. The second case delves into making human mobility data—collected from mobile phone signals—accessible as source-destination matrices, offering key insights into population movements during and after the flooding. These stories highlight how FME's powerful capabilities can bridge the gap between raw data and decision-making, fostering resilience and preparedness in the face of natural disasters. Attendees will gain practical insights into how FME can support crisis management and urban planning in a changing climate.
Your startup on AWS - How to architect and maintain a Lean and Mean account
Your startup on AWS - How to architect and maintain a Lean and Mean accountangelo60207 Prevent infrastructure costs from becoming a significant line item on your startup’s budget! Serial entrepreneur and software architect Angelo Mandato will share his experience with AWS Activate (startup credits from AWS) and knowledge on how to architect a lean and mean AWS account ideal for budget minded and bootstrapped startups. In this session you will learn how to manage a production ready AWS account capable of scaling as your startup grows for less than $100/month before credits. We will discuss AWS Budgets, Cost Explorer, architect priorities, and the importance of having flexible, optimized Infrastructure as Code. We will wrap everything up discussing opportunities where to save with AWS services such as S3, EC2, Load Balancers, Lambda Functions, RDS, and many others.
Trends Artificial Intelligence - Mary Meeker
Trends Artificial Intelligence - Mary MeekerClive Dickens Mary Meeker’s 2024 AI report highlights a seismic shift in productivity, creativity, and business value driven by generative AI. She charts the rapid adoption of tools like ChatGPT and Midjourney, likening today’s moment to the dawn of the internet. The report emphasizes AI’s impact on knowledge work, software development, and personalized services—while also cautioning about data quality, ethical use, and the human-AI partnership. In short, Meeker sees AI as a transformative force accelerating innovation and redefining how we live and work.
cnc-drilling-dowel-inserting-machine-drillteq-d-510-english.pdf
cnc-drilling-dowel-inserting-machine-drillteq-d-510-english.pdfAmirStern2 CNC מכונות קידוח drillteq d-510
Mastering AI Workflows with FME - Peak of Data & AI 2025
Mastering AI Workflows with FME - Peak of Data & AI 2025Safe Software Harness the full potential of AI with FME: From creating high-quality training data to optimizing models and utilizing results, FME supports every step of your AI workflow. Seamlessly integrate a wide range of models, including those for data enhancement, forecasting, image and object recognition, and large language models. Customize AI models to meet your exact needs with FME’s powerful tools for training, optimization, and seamless integration
Down the Rabbit Hole – Solving 5 Training Roadblocks
Down the Rabbit Hole – Solving 5 Training RoadblocksRustici Software Feeling stuck in the Matrix of your training technologies? You’re not alone. Managing your training catalog, wrangling LMSs and delivering content across different tools and audiences can feel like dodging digital bullets. At some point, you hit a fork in the road: Keep patching things up as issues pop up… or follow the rabbit hole to the root of the problems.
Good news, we’ve already been down that rabbit hole. Peter Overton and Cameron Gray of Rustici Software are here to share what we found. In this webinar, we’ll break down 5 training roadblocks in delivery and management and show you how they’re easier to fix than you might think.
Scaling GenAI Inference From Prototype to Production: Real-World Lessons in S...
Scaling GenAI Inference From Prototype to Production: Real-World Lessons in S...Anish Kumar Presented by: Anish Kumar
LinkedIn: https://www.linkedin.com/in/anishkumar/
This lightning talk dives into real-world GenAI projects that scaled from prototype to production using Databricks’ fully managed tools. Facing cost and time constraints, we leveraged four key Databricks features—Workflows, Model Serving, Serverless Compute, and Notebooks—to build an AI inference pipeline processing millions of documents (text and audiobooks).
This approach enables rapid experimentation, easy tuning of GenAI prompts and compute settings, seamless data iteration and efficient quality testing—allowing Data Scientists and Engineers to collaborate effectively. Learn how to design modular, parameterized notebooks that run concurrently, manage dependencies and accelerate AI-driven insights.
Whether you're optimizing AI inference, automating complex data workflows or architecting next-gen serverless AI systems, this session delivers actionable strategies to maximize performance while keeping costs low.
Secure Access with Azure Active Directory
Secure Access with Azure Active DirectoryVICTOR MAESTRE RAMIREZ Secure Access with Azure Active Directory
Oracle Cloud Infrastructure AI Foundations
Oracle Cloud Infrastructure AI FoundationsVICTOR MAESTRE RAMIREZ Oracle Cloud Infrastructure AI Foundations
TrustArc Webinar - 2025 Global Privacy Survey
TrustArc Webinar - 2025 Global Privacy SurveyTrustArc How does your privacy program compare to your peers? What challenges are privacy teams tackling and prioritizing in 2025?
In the sixth annual Global Privacy Benchmarks Survey, we asked global privacy professionals and business executives to share their perspectives on privacy inside and outside their organizations. The annual report provides a 360-degree view of various industries' priorities, attitudes, and trends. See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar features an expert panel discussion and data-driven insights to help you navigate the shifting privacy landscape. Whether you are a privacy officer, legal professional, compliance specialist, or security expert, this session will provide actionable takeaways to strengthen your privacy strategy.
This webinar will review:
- The emerging trends in data protection, compliance, and risk
- The top challenges for privacy leaders, practitioners, and organizations in 2025
- The impact of evolving regulations and the crossroads with new technology, like AI
Predictions for the future of privacy in 2025 and beyond
If You Use Databricks, You Definitely Need FME
If You Use Databricks, You Definitely Need FMESafe Software DataBricks makes it easy to use Apache Spark. It provides a platform with the potential to analyze and process huge volumes of data. Sounds awesome. The sales brochure reads as if it is a can-do-all data integration platform. Does it replace our beloved FME platform or does it provide opportunities for FME to shine? Challenge accepted
Python For Deep Learning - I | Python Basics | Python Tutorial | Python Training | Edureka Live
- 1. Copyright © 2017, edureka and/or its affiliates. All rights reserved.
- 2. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Python Use-Case Let’s see what we will implement in this session
- 3. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Python Use-Case You have been hired by WHO, and your task is to analyze the pattern in life-expectancy for every country of the world from (1960-2012).
- 4. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Why Are We Doing This Let’s understand the importance of this use-case
- 5. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Python Use-Case Healthy Diet Social Conditions Regular Exercise Vaccination Economic Conditions
- 6. Copyright © 2017, edureka and/or its affiliates. All rights reserved. What Is Python? Let’s understand what is Python?
- 7. Copyright © 2017, edureka and/or its affiliates. All rights reserved. What Is Python? Python is an interpreted, object-oriented, high-level programming language with dynamic semantics Procedure Oriented Object Oriented Easy to Learn High Level Language
- 8. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Python Code-Basics Now is the time to understand Pyhon code-basics
- 9. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Python Variables Variables are nothing but reserved memory locations to store values. This means that when you create a variable you reserve some space in memory. C=‘edureka’ A = 16 B = 20 C = ‘edureka’ B=20 A=16 Memory
- 10. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Python Data-Types Numeric List Tuple Strings Set Dictionary
- 11. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Python Operators Identity Operators Membership Operators Comparison Operators Arithmetic Operators Assignment Operators Logical Operators Bitwise Operators Operators
- 12. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Conditional Statements
- 13. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Loops Start Conditional Code Condition If condition is false If condition is true End
- 14. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Functions Functions are a convenient way to divide your code into useful blocks, allowing us to order our code, make it more readable, reuse it and save some time.
- 15. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Numpy, Pandas, Matplotlib Let’s look at some useful Python libraries
- 16. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Python Numpy • Numpy is the core library for scientific computing in Python. • It provides a high-performance multidimensional array object, and tools for working with these arrays.
- 17. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Matplotlib Matplotlib is a Python package used for 2D graphics
- 18. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Pandas Pandas is a software library written for the Python programming language for data manipulation and analysis.
- 19. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Use-Case Implementation Let’s see how to implement the use-case
- 20. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Implementation Of The Use-Case
- 21. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Session In A Minute Python Use-Case What is Python? Python Code-Basics Implementation Of The Use-Case