Python is a general purpose programming language that can be used for both programming and scripting. It was created in the 1990s by Guido van Rossum who named it after the Monty Python comedy troupe. People use Python for a variety of tasks due to its readability, object-oriented capabilities, extensive libraries, and ability to integrate with other languages. To run Python code, it must first be compiled into bytecode which is then interpreted by the Python virtual machine.
The document provides an introduction and overview of the Python programming language. It discusses that Python is an interpreted, object-oriented, high-level programming language that is easy to learn and read. It also covers Python features such as portability, extensive standard libraries, and support for functional, structured, and object-oriented programming. The document then discusses Python data types including numbers, strings, and various Python syntax elements before concluding with the history and evolution of the Python language through various versions.
This document provides an introduction to the Python programming language. It covers Python's history and features, including its syntax, types, operators, control flow, functions, classes, and tools. Python is a readable, dynamic language suitable for web development, GUIs, scripting, and more. It has a focus on readability and productivity. Major companies and organizations that use Python include Google, NASA, Dropbox, IBM, Instagram, and Mozilla.
This document provides an introduction and overview of the Python programming language. It covers Python's history and key features such as being object-oriented, dynamically typed, batteries included, and focusing on readability. It also discusses Python's syntax, types, operators, control flow, functions, classes, imports, error handling, documentation tools, and popular frameworks/IDEs. The document is intended to give readers a high-level understanding of Python.
Python An Introduction, A presentation Developed by Swarit Wadhe. This Slide Will Give you basic information about python (Origin, Codes and difference from other languages).
I hope you'll find this helpfull and if you do please share it with your fellows.
This document provides an overview of the Python programming language. It begins by explaining what Python is - a general purpose, interpreted programming language that can be used as both a programming and scripting language. It then discusses the differences between programs and scripting languages. The history and creator of Python, Guido van Rossum, are outlined. The document explores the scope of Python and what tasks it can be used for. Popular companies and industries that use Python today are listed. Reasons why people use Python, such as it being free, powerful, and portable, are provided. Instructions for installing Python and running Python code are included. The document covers Python code execution and introduces basic Python concepts like variables, strings, data types, lists
This document provides an overview of the Python programming language. It discusses what Python is, its key features, who uses it, common applications, and how to download and install Python. It then covers Python syntax concepts like identifiers, keywords, multiline statements, docstrings, indentation, comments, and string formatting. The document also introduces Python data types like numbers, strings, lists, tuples, dictionaries, sets and how to work with them. It describes how to convert between number types and access/update strings and lists. Finally, it discusses Python development environments like Anaconda and Spyder.
Python is a general-purpose, high-level programming language that is widely used for web and application development, data science, and machine learning. It was created by Guido van Rossum in 1991 and takes inspiration from languages like C, Java, Lisp, and Modula-3. Python code is human-readable and has an easy to learn syntax that uses indentation rather than brackets to indicate blocks of code. It supports multiple programming paradigms including object-oriented, imperative, and functional programming.
The document provides an overview of the Python programming language. It discusses that Python is an easy to learn, high-level, open-source programming language. It describes Python's design philosophy of code readability and how it allows programmers to express concepts in fewer lines of code compared to languages like C++ and Java. The document also discusses Python's powerful libraries, wide use across industries, and how to get started with Python programming using the IDLE integrated development environment.
Variables & Data Types In Python | EdurekaEdureka!
YouTube Link: https://youtu.be/6yrsX752CWk
(** Python Certification Training: https://www.edureka.co/python **)
This Edureka PPT on 'Variables and Data Types in Python' will help you establish a foothold on Python by helping you learn basic concepts like variables and data types. Below are the topics covered in this PPT:
Introduction To Python
Applications Of Python
Variable Declaration
Variable Data Types
Type Conversion
Python Tutorial Playlist: https://goo.gl/WsBpKe
Blog Series: http://bit.ly/2sqmP4s
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
Python is a general purpose programming language created by Guido van Rossum in 1991. It is an interpreted, interactive, object-oriented language with a simple syntax. Python supports cross-platform development and is widely used for scripting, game development, and building desktop and mobile applications. To use Python, developers must download the Python interpreter and can write and run code using the interactive shell or integrated development environments like IDLE. The document then discusses Python's multi-paradigm programming style, advantages like rapid development, and how to install Python and write basic programs using variables, operators, and data types.
Python Tutorial | Python Tutorial for Beginners | Python Training | EdurekaEdureka!
This Edureka Python tutorial will help you in understanding the various fundamentals of Python programming with examples in detail. This Python tutorial helps you to learn following topics:
1. Introduction to Python
2. Who uses Python
3. Features of Python
4. Operators in Python
5. Datatypes in Python
6. Flow Control
7. Functions in Python
8. File Handling in Python
The document discusses various Python datatypes. It explains that Python supports built-in and user-defined datatypes. The main built-in datatypes are None, numeric, sequence, set and mapping types. Numeric types include int, float and complex. Common sequence types are str, bytes, list, tuple and range. Sets can be created using set and frozenset datatypes. Mapping types represent a group of key-value pairs like dictionaries.
This document provides an overview of the Python programming language. It covers Python basics like syntax, datatypes, modules, and control structures. It also discusses topics like functions, classes, files, and popular Python modules. The document contains an agenda that outlines these topics and provides code samples to illustrate Python concepts hands-on. It aims to equip readers with foundational Python programming knowledge.
Python is a versatile, object-oriented programming language that can be used for web development, data analysis, and more. It has a simple syntax and is easy to read and learn. Key features include being interpreted, dynamically typed, supporting functional and object-oriented programming. Common data types include numbers, strings, lists, dictionaries, tuples, and files. Functions and classes can be defined to organize and reuse code. Regular expressions provide powerful string manipulation. Python has a large standard library and is used widely in areas like GUIs, web scripting, AI, and scientific computing.
The document discusses Bram Cohen's view that Python is a good language for maintainability as it has clean syntax, object encapsulation, good library support, and optional parameters, and then provides details about the history and features of the Python programming language such as being dynamically typed, having a large standard library, and being cross-platform.
This presentation provides the information on python including the topics Python features, applications, variables and operators in python, control statements, numbers, strings, print formatting, list and list comprehension, dictionaries, tuples, files, sets, boolean, mehtods and functions, lambda expressions and a sample project using Python.
The document provides an overview of the Python programming language, outlining that it is an interpreted, high-level and general-purpose language used across many domains with a large standard library and is open source; it also discusses Python's features such as being object-oriented, portable across platforms, powerful through libraries like NumPy and SciPy, and how it is used widely in industries like Google, YouTube, and more. The course covers Python application programming with details on credits, exam structure, what Python is, how it runs, popular IDEs, and its uses in different engineering branches.
This document provides an agenda and overview for a Python tutorial presented over multiple sessions. The first session introduces Python and demonstrates how to use the Python interpreter. The second session covers basic Python data structures like lists, modules, input/output, and exceptions. An optional third session discusses unit testing. The document explains that Python is an easy to learn yet powerful programming language that supports object-oriented programming and high-level data structures in an interpreted, dynamic environment.
Python is a widely-used and powerful computer programming language that has helped system administrators manage computer networks and problem solve computer systems for decades. Python has also built some popular applications like BitTorrent, Blender, Calibre, Dropbox, and much more. Going further, the “Pi” in Raspberry Pi stands for Python, so learning Python will instill more confidence when working with Raspberry Pi projects. Python is usually the first programming language people learn primarily because it is easy to learn and provides a solid foundation to learn other computer programming languages. In this webinar,
• Learn what Python is and what it is capable of doing.
• Install Python’s IDE for Windows and work in the Python shell.
• Use calculations, variables, strings, lists, and if statements.
• Discover Python’s built-in functions and understand modules.
• Create simple programs to build on later.
The recording is available at https://youtu.be/ThcWmJFf-ho.
This document provides an introduction and overview of the Python programming language. It discusses that Python was created by Guido Van Rossum in 1991 and named after Monty Python. Python can be used for both procedural and object-oriented programming approaches. It is an interpreted language that is free to use, easy to learn, and has a simple syntax. Python is popular for web development, data analysis, science/engineering, and more. The document then covers Python syntax and provides examples of using variables, data types, and the interactive mode versus script mode of writing Python code.
This document provides an industrial training presentation on Python programming. It introduces Python, explaining that it is an interpreted, object-oriented, high-level programming language. It then covers why Python is used, its basic data types like numbers, strings, lists, dictionaries, tuples and sets. The presentation also discusses Python concepts like conditionals, loops, functions, exceptions, file handling, object-oriented programming and databases. It concludes that Python supports both procedural and object-oriented programming and can be universally accepted. References for further reading are also included.
This document discusses values, data types, and the five standard data types in Python. It defines that values are the fundamental things like numbers and strings that programs manipulate. Data type refers to the type and size of data that variables can hold. The five main data types in Python are numbers, strings, lists, tuples, and dictionaries. Numbers include integers, floating point values, and complex numbers. Lists and tuples are ordered sequences that can hold heterogeneous data, but lists are mutable while tuples are immutable. Strings are ordered sequences of characters. Dictionaries are unordered collections of key-value pairs.
Python functions allow for reusable code through defining functions, passing arguments, returning values, and setting scopes. Functions can take positional or keyword arguments, as well as variable length arguments. Default arguments allow functions to specify default values for optional parameters. Functions are objects that can be assigned to variables and referenced later.
This document provides an introduction and overview of the Python programming language course CSE 120 handled by G.Gandhi Jaba Kumar. It discusses that Python is an interpreted, object-oriented, and interactive programming language used for web development, software development, mathematics, and system scripting. The document then covers Python syntax including indentation, comments, keywords, variables, data types, operators, and basic programming concepts like conditionals and loops. It provides examples to illustrate Python code and best practices.
This document provides an overview of the Python programming language. It discusses what Python is, its key features, who uses it, common applications, and how to download and install Python. It then covers Python syntax concepts like identifiers, keywords, multiline statements, docstrings, indentation, comments, and string formatting. The document also introduces Python data types like numbers, strings, lists, tuples, dictionaries, sets and how to work with them. It describes how to convert between number types and access/update strings and lists. Finally, it discusses Python development environments like Anaconda and Spyder.
Python is a general-purpose, high-level programming language that is widely used for web and application development, data science, and machine learning. It was created by Guido van Rossum in 1991 and takes inspiration from languages like C, Java, Lisp, and Modula-3. Python code is human-readable and has an easy to learn syntax that uses indentation rather than brackets to indicate blocks of code. It supports multiple programming paradigms including object-oriented, imperative, and functional programming.
The document provides an overview of the Python programming language. It discusses that Python is an easy to learn, high-level, open-source programming language. It describes Python's design philosophy of code readability and how it allows programmers to express concepts in fewer lines of code compared to languages like C++ and Java. The document also discusses Python's powerful libraries, wide use across industries, and how to get started with Python programming using the IDLE integrated development environment.
Variables & Data Types In Python | EdurekaEdureka!
YouTube Link: https://youtu.be/6yrsX752CWk
(** Python Certification Training: https://www.edureka.co/python **)
This Edureka PPT on 'Variables and Data Types in Python' will help you establish a foothold on Python by helping you learn basic concepts like variables and data types. Below are the topics covered in this PPT:
Introduction To Python
Applications Of Python
Variable Declaration
Variable Data Types
Type Conversion
Python Tutorial Playlist: https://goo.gl/WsBpKe
Blog Series: http://bit.ly/2sqmP4s
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
Python is a general purpose programming language created by Guido van Rossum in 1991. It is an interpreted, interactive, object-oriented language with a simple syntax. Python supports cross-platform development and is widely used for scripting, game development, and building desktop and mobile applications. To use Python, developers must download the Python interpreter and can write and run code using the interactive shell or integrated development environments like IDLE. The document then discusses Python's multi-paradigm programming style, advantages like rapid development, and how to install Python and write basic programs using variables, operators, and data types.
Python Tutorial | Python Tutorial for Beginners | Python Training | EdurekaEdureka!
This Edureka Python tutorial will help you in understanding the various fundamentals of Python programming with examples in detail. This Python tutorial helps you to learn following topics:
1. Introduction to Python
2. Who uses Python
3. Features of Python
4. Operators in Python
5. Datatypes in Python
6. Flow Control
7. Functions in Python
8. File Handling in Python
The document discusses various Python datatypes. It explains that Python supports built-in and user-defined datatypes. The main built-in datatypes are None, numeric, sequence, set and mapping types. Numeric types include int, float and complex. Common sequence types are str, bytes, list, tuple and range. Sets can be created using set and frozenset datatypes. Mapping types represent a group of key-value pairs like dictionaries.
This document provides an overview of the Python programming language. It covers Python basics like syntax, datatypes, modules, and control structures. It also discusses topics like functions, classes, files, and popular Python modules. The document contains an agenda that outlines these topics and provides code samples to illustrate Python concepts hands-on. It aims to equip readers with foundational Python programming knowledge.
Python is a versatile, object-oriented programming language that can be used for web development, data analysis, and more. It has a simple syntax and is easy to read and learn. Key features include being interpreted, dynamically typed, supporting functional and object-oriented programming. Common data types include numbers, strings, lists, dictionaries, tuples, and files. Functions and classes can be defined to organize and reuse code. Regular expressions provide powerful string manipulation. Python has a large standard library and is used widely in areas like GUIs, web scripting, AI, and scientific computing.
The document discusses Bram Cohen's view that Python is a good language for maintainability as it has clean syntax, object encapsulation, good library support, and optional parameters, and then provides details about the history and features of the Python programming language such as being dynamically typed, having a large standard library, and being cross-platform.
This presentation provides the information on python including the topics Python features, applications, variables and operators in python, control statements, numbers, strings, print formatting, list and list comprehension, dictionaries, tuples, files, sets, boolean, mehtods and functions, lambda expressions and a sample project using Python.
The document provides an overview of the Python programming language, outlining that it is an interpreted, high-level and general-purpose language used across many domains with a large standard library and is open source; it also discusses Python's features such as being object-oriented, portable across platforms, powerful through libraries like NumPy and SciPy, and how it is used widely in industries like Google, YouTube, and more. The course covers Python application programming with details on credits, exam structure, what Python is, how it runs, popular IDEs, and its uses in different engineering branches.
This document provides an agenda and overview for a Python tutorial presented over multiple sessions. The first session introduces Python and demonstrates how to use the Python interpreter. The second session covers basic Python data structures like lists, modules, input/output, and exceptions. An optional third session discusses unit testing. The document explains that Python is an easy to learn yet powerful programming language that supports object-oriented programming and high-level data structures in an interpreted, dynamic environment.
Python is a widely-used and powerful computer programming language that has helped system administrators manage computer networks and problem solve computer systems for decades. Python has also built some popular applications like BitTorrent, Blender, Calibre, Dropbox, and much more. Going further, the “Pi” in Raspberry Pi stands for Python, so learning Python will instill more confidence when working with Raspberry Pi projects. Python is usually the first programming language people learn primarily because it is easy to learn and provides a solid foundation to learn other computer programming languages. In this webinar,
• Learn what Python is and what it is capable of doing.
• Install Python’s IDE for Windows and work in the Python shell.
• Use calculations, variables, strings, lists, and if statements.
• Discover Python’s built-in functions and understand modules.
• Create simple programs to build on later.
The recording is available at https://youtu.be/ThcWmJFf-ho.
This document provides an introduction and overview of the Python programming language. It discusses that Python was created by Guido Van Rossum in 1991 and named after Monty Python. Python can be used for both procedural and object-oriented programming approaches. It is an interpreted language that is free to use, easy to learn, and has a simple syntax. Python is popular for web development, data analysis, science/engineering, and more. The document then covers Python syntax and provides examples of using variables, data types, and the interactive mode versus script mode of writing Python code.
This document provides an industrial training presentation on Python programming. It introduces Python, explaining that it is an interpreted, object-oriented, high-level programming language. It then covers why Python is used, its basic data types like numbers, strings, lists, dictionaries, tuples and sets. The presentation also discusses Python concepts like conditionals, loops, functions, exceptions, file handling, object-oriented programming and databases. It concludes that Python supports both procedural and object-oriented programming and can be universally accepted. References for further reading are also included.
This document discusses values, data types, and the five standard data types in Python. It defines that values are the fundamental things like numbers and strings that programs manipulate. Data type refers to the type and size of data that variables can hold. The five main data types in Python are numbers, strings, lists, tuples, and dictionaries. Numbers include integers, floating point values, and complex numbers. Lists and tuples are ordered sequences that can hold heterogeneous data, but lists are mutable while tuples are immutable. Strings are ordered sequences of characters. Dictionaries are unordered collections of key-value pairs.
Python functions allow for reusable code through defining functions, passing arguments, returning values, and setting scopes. Functions can take positional or keyword arguments, as well as variable length arguments. Default arguments allow functions to specify default values for optional parameters. Functions are objects that can be assigned to variables and referenced later.
This document provides an introduction and overview of the Python programming language course CSE 120 handled by G.Gandhi Jaba Kumar. It discusses that Python is an interpreted, object-oriented, and interactive programming language used for web development, software development, mathematics, and system scripting. The document then covers Python syntax including indentation, comments, keywords, variables, data types, operators, and basic programming concepts like conditionals and loops. It provides examples to illustrate Python code and best practices.
python programming language Python is a high-level, interpreted, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. INTRODUCTION
HISTORY
USES OF PYTHON
FEATURES OF PYTHON
PYTHON PROJECT FOR BEGINNERS
PYTHON PROGRAM
KEY CHANGES IN PYTHON
BASIC SYNTAX
VARIABLE
NUMBERS
STANDARD TYPE HIERARCHY
STRING
CONDITIONALS
FOR LOOP
FUNCTION
KEYWORDS
WHY PYTHON ?
DIFFERENTIATE
EXAMPLES
If you're referring to acquisitions made by companies prior to the implementation of the Goods and Services Tax (GST), here are some acquisitions that occurred before GST was introduced:
Facebook (Meta Platforms, Inc.):
Instagram (Acquired in 2012)
WhatsApp (Acquired in 2014)
Oculus VR (Acquired in 2014)
Alphabet Inc. (Google):
YouTube (Acquired in 2006)
DoubleClick (Acquired in 2008)
Nest Labs (Acquired in 2014)
Amazon:
Zappos (Acquired in 2009)
Twitch (Acquired in 2014)
Microsoft Corporation:
LinkedIn (Acquired in 2016)
Skype (Acquired in 2011)
Apple Inc.:
Beats Electronics (Acquired in 2014)
Shazam (Acquisition announced in 2017, completed in 2018)
Oracle Corporation:
Sun Microsystems (Acquired in 2010)
Siebel Systems (Acquired in 2006)
IBM (International Business Machines Corporation):
Cognos (Acquired in 2007)
SPSS (Acquired in 2009)
Salesforce:
Tableau Software (Acquired in 2019)
MuleSoft (Acquired in 2018)
Cisco Systems:
WebEx (Acquired in 2007)
Meraki (Acquired in 2012)
Intel Corporation:
McAfee (Acquired in 2011)
Altera Corporation (Acquired in 2015)
These are just a few examples of acquisitions made by companies prior to the implementation of GST. These acquisitions have played significant roles in shaping the strategies and offerings of these tech giants.
If you're referring to acquisitions made by companies prior to the implementation of the Goods and Services Tax (GST), here are some acquisitions that occurred before GST was introduced:
Facebook (Meta Platforms, Inc.):
Instagram (Acquired in 2012)
WhatsApp (Acquired in 2014)
Oculus VR (Acquired in 2014)
Alphabet Inc. (Google):
YouTube (Acquired in 2006)
DoubleClick (Acquired in 2008)
Nest Labs (Acquired in 2014)
Amazon:
Zappos (Acquired in 2009)
Twitch (Acquired in 2014)
Microsoft Corporation:
LinkedIn (Acquired in 2016)
Skype (Acquired in 2011)
Apple Inc.:
Beats Electronics (Acquired in 2014)
Shazam (Acquisition announced in 2017, completed in 2018)
Oracle Corporation:
Sun Microsystems (Acquired in 2010)
Siebel Systems (Acquired in 2006)
IBM (International Business Machines Corporation):
Cognos (Acquired in 2007)
SPSS (Acquired in 2009)
Salesforce:
Tableau Software (Acquired in 2019)
MuleSoft (Acquired in 2018)
Cisco Systems:
WebEx (Acquired in 2007)
Meraki (Acquired in 2012)
Intel Corporation:
McAfee (Acquired in 2011)
Altera Corporation (Acquired in 2015)
These are just a few examples of acquisitions made by companies prior to the implementation of GST. These acquisitions have played significant roles in shaping the strategies and offerings of these tech giants.
If you're referring to acquisitions made by companies prior to the implementation of the Goods and Services Tax (GST), here are some acquisitions that occurred before GST was introduced:
Facebook (Meta Platforms, Inc.):
Instagram (Acquired in 2012)
WhatsApp (Acquired in 2014)
Oculus VR (Acquired in 2014)
Alphabet Inc. (Google):
YouTube (Acquired in 2006)
DoubleClick (Acquired in 2008)
Nest Labs (Acquired in 2014
Python has evolved over several versions since its creation in the late 1980s. Key developments include the release of Python 1.0 in 1994 and major updates like Python 2.0 in 2000 and Python 3.0 in 2008. Python draws influence from languages like ABC and Modula-3. It was named Python after the Monty Python comedy group by its creator Guido van Rossum. Python is widely used today for tasks like machine learning, AI, web development and more due to its versatility and large standard library.
Python Course In Ghaziabad. Scode network is best training institute for Python which provides Online Python course with complete certificates at an affordable price.
Python is a general purpose, high-level programming language created by Guido van Rossum in 1991. It is an interpreted language with object-oriented, imperative, and functional programming styles. Some key features of Python include being easy to read and learn, having a large standard library, being cross-platform, and supporting multiple programming paradigms. Common uses of Python include web development, data analysis, and artificial intelligence/machine learning applications.
This document provides information about Jupyter Notebook, including:
- Jupyter Notebook is an open-source web application for creating and sharing documents containing live code, equations, visualizations, and narrative text.
- It works locally on localhost port 8888 and the easiest way to install it is through Anaconda which includes Jupyter Notebook and popular Python libraries.
- Notebooks use kernels to run code in different programming languages, with IPython being the default Python kernel.
What is Python? | Uses, features & flavours of Python | Running Python | Identifiers | key words | values & types | Type casting | Operators | Functions | Types of arguments
This document provides an introduction to Python programming. It discusses the history and origins of Python, why it is useful for programming, its core features like object-oriented programming and indentation, basic syntax like variables, data types, and keywords. It also covers strings, booleans, and how to assign values and combine text in strings.
Python is an interpreted, interactive, object-oriented programming language. It has a simple syntax and is used for rapid application development. Python supports procedural, object-oriented, and functional programming. It has a large standard library and can connect to existing components. Python is easy to read and maintain due to its clear syntax and structure. It is also portable and has broad library support.
Python is an open source programming language created by Guido van Rossum in 1991. It is named after the comedy group Monty Python and is based on the ABC language. Python supports both procedural and object-oriented programming and can be used for web development, data analysis, artificial intelligence, and more. It has a simple syntax and large standard library that make it easy to learn and use for various applications.
Python is a general purpose, dynamic, high-level, and interpreted programming language that supports object-oriented programming. It has a simple syntax and is easy to learn, while also being powerful and versatile. Python can be used for a wide range of applications including web development, desktop GUIs, data science, artificial intelligence, and more. It is an open source language with a large community and ecosystem of third party libraries and frameworks.
The document provides an introduction to the Python programming language. It discusses that Python was created by Guido Van Rossum in 1991 and was named after the Monty Python comedy troupe. Python is an open source, interpreted language that can be used for both procedural and object-oriented programming. It has a simple syntax and supports features like graphical user interfaces, integration with other languages, and is used widely in applications like web development, artificial intelligence, and data science. The document also covers Python concepts like variables, data types, operators, input/output and comments.
apidays New York 2025 - Boost API Development Velocity with Practical AI Tool...apidays
Boost API Development Velocity with Practical AI Tooling
Sumit Amar, VP of Engineering at WEX
apidays New York 2025
API Management for Surfing the Next Innovation Waves: GenAI and Open Banking
May 14 & 15, 2025
------
Check out our conferences at https://www.apidays.global/
Do you want to sponsor or talk at one of our conferences?
https://apidays.typeform.com/to/ILJeAaV8
Learn more on APIscene, the global media made by the community for the community:
https://www.apiscene.io
Explore the API ecosystem with the API Landscape:
https://apilandscape.apiscene.io/
apidays New York 2025 - The Future of Small Business Lending with Open Bankin...apidays
The Future of Small Business Lending with Open Banking – Bridging the $750 Billion Funding Gap
Charles Groome, Vice President of Growth Strategy at Biz2Credit
apidays New York 2025
API Management for Surfing the Next Innovation Waves: GenAI and Open Banking
May 14 & 15, 2025
------
Check out our conferences at https://www.apidays.global/
Do you want to sponsor or talk at one of our conferences?
https://apidays.typeform.com/to/ILJeAaV8
Learn more on APIscene, the global media made by the community for the community:
https://www.apiscene.io
Explore the API ecosystem with the API Landscape:
https://apilandscape.apiscene.io/
apidays New York 2025 - Why I Built Another Carbon Measurement Tool for LLMs ...apidays
Why I Built Another Carbon Measurement Tool for LLMs (And What I Learned Along the Way)
Pascal Joly, Sustainability Consultant and Instructor at IT Climate Ed
apidays New York 2025
API Management for Surfing the Next Innovation Waves: GenAI and Open Banking
May 14 & 15, 2025
------
Check out our conferences at https://www.apidays.global/
Do you want to sponsor or talk at one of our conferences?
https://apidays.typeform.com/to/ILJeAaV8
Learn more on APIscene, the global media made by the community for the community:
https://www.apiscene.io
Explore the API ecosystem with the API Landscape:
https://apilandscape.apiscene.io/
THE FRIEDMAN TEST ( Biostatics B. Pharm)JishuHaldar
The Friedman Test is a valuable non-parametric alternative to the
Repeated Measures ANOVA, allowing for the comparison of three or
more related groups when data is ordinal or not normally distributed.
By ranking data instead of using raw values, the test overcomes the
limitations of parametric tests, making it ideal for small sample sizes and
real-world applications in medicine, psychology, pharmaceutical
sciences, and education. However, while it effectively detects differences
among groups, it does not indicate which specific groups differ, requiring
further post-hoc analysis.
What is FinOps as a Service and why is it Trending?Amnic
The way we build and scale companies today has changed forever because of cloud adoption. However, this flexibility introduces unpredictability, which often results in overspending, inefficiencies, and a lack of cost accountability.
FinOps as a Service is a modern approach to cloud cost management that combines powerful tooling with expert advisory to bring financial visibility, governance, and optimization into the cloud operating model, without slowing down the engineering team. FinOps empowers the engineering team, finance, and leadership/management as they make data-informed decisions about cost, together.
In this presentation, we will break down what FinOps is, why it matters more than ever, and a little about how a managed FinOps service can help organizations:
- Optimize cloud spend - without slowing down dev
- Create visibility into the cost per team, service, or feature
- Set financial guardrails while allowing autonomy in engineering
- Drive cultural alignment between finance, engineering, and product
This will guide and help whether you are a cloud-native startup or a scaling enterprise, and convert cloud cost into a strategic advantage.
Report based on the findings of a quantitative research conducted by the research agency New Image Marketing Group, commissioned by the NGO Detector Media, compiled by PhD in Sociology Marta Naumova.
apidays New York 2025 - Computers are still dumb by Ben Morss (DeepL)apidays
Computers are still dumb: bringing your AI magic to enterprises
Ben Morss, Developer Evangelist at DeepL
apidays New York 2025
API Management for Surfing the Next Innovation Waves: GenAI and Open Banking
Convene 360 Madison, New York
May 14 & 15, 2025
------
Check out our conferences at https://www.apidays.global/
Do you want to sponsor or talk at one of our conferences?
https://apidays.typeform.com/to/ILJeAaV8
Learn more on APIscene, the global media made by the community for the community:
https://www.apiscene.io
Explore the API ecosystem with the API Landscape:
https://apilandscape.apiscene.io/
apidays New York 2025 - Building Agentic Workflows with FDC3 Intents by Nick ...apidays
Building Agentic Workflows with FDC3 Intents
Nick Kolba, Co-founder & CEO at Connectifi
apidays New York 2025
API Management for Surfing the Next Innovation Waves: GenAI and Open Banking
Convene 360 Madison, New York
May 14 & 15, 2025
------
Check out our conferences at https://www.apidays.global/
Do you want to sponsor or talk at one of our conferences?
https://apidays.typeform.com/to/ILJeAaV8
Learn more on APIscene, the global media made by the community for the community:
https://www.apiscene.io
Explore the API ecosystem with the API Landscape:
https://apilandscape.apiscene.io/
apidays New York 2025 - Building Green Software by Marissa Jasso & Katya Drey...apidays
Building Green Software: How Cloud-Native Platforms Can Power Sustainable App Development
Katya Dreyer-Oren, Lead Software Engineer at Heroku (Salesforce)
Marissa Jasso, Product Manager at Heroku (Salesforce)
apidays New York 2025
API Management for Surfing the Next Innovation Waves: GenAI and Open Banking
Convene 360 Madison, New York
May 14 & 15, 2025
------
Check out our conferences at https://www.apidays.global/
Do you want to sponsor or talk at one of our conferences?
https://apidays.typeform.com/to/ILJeAaV8
Learn more on APIscene, the global media made by the community for the community:
https://www.apiscene.io
Explore the API ecosystem with the API Landscape:
https://apilandscape.apiscene.io/
apidays New York 2025 - Unifying OpenAPI & AsyncAPI by Naresh Jain & Hari Kri...apidays
Unifying OpenAPI & AsyncAPI: Designing JSON Schemas+Examples for Reuse
Naresh Jain, Co-founder & CEO at Specmatic
Hari Krishnan, Co-founder & CTO at Specmatic
apidays New York 2025
API Management for Surfing the Next Innovation Waves: GenAI and Open Banking
May 14 & 15, 2025
------
Check out our conferences at https://www.apidays.global/
Do you want to sponsor or talk at one of our conferences?
https://apidays.typeform.com/to/ILJeAaV8
Learn more on APIscene, the global media made by the community for the community:
https://www.apiscene.io
Explore the API ecosystem with the API Landscape:
https://apilandscape.apiscene.io/
apidays New York 2025 - Fast, Repeatable, Secure: Pick 3 with FINOS CCC by Le...apidays
Fast, Repeatable, Secure: Pick 3 with FINOS CCC
Leigh Capili, Kubernetes Contributor at Control Plane
apidays New York 2025
API Management for Surfing the Next Innovation Waves: GenAI and Open Banking
May 14 & 15, 2025
------
Check out our conferences at https://www.apidays.global/
Do you want to sponsor or talk at one of our conferences?
https://apidays.typeform.com/to/ILJeAaV8
Learn more on APIscene, the global media made by the community for the community:
https://www.apiscene.io
Explore the API ecosystem with the API Landscape:
https://apilandscape.apiscene.io/
apidays New York 2025 - Building Scalable AI Systems by Sai Prasad Veluru (Ap...apidays
Building Scalable AI Systems: Cloud Architecture for Performance
Sai Prasad Veluru, Software Engineer at Apple Inc
apidays New York 2025
API Management for Surfing the Next Innovation Waves: GenAI and Open Banking
May 14 & 15, 2025
------
Check out our conferences at https://www.apidays.global/
Do you want to sponsor or talk at one of our conferences?
https://apidays.typeform.com/to/ILJeAaV8
Learn more on APIscene, the global media made by the community for the community:
https://www.apiscene.io
Explore the API ecosystem with the API Landscape:
https://apilandscape.apiscene.io/