This document provides an introduction to the Python programming language. It discusses that Python is an interpreted, interactive, object-oriented scripting language that is designed to be highly readable. The document outlines Python's history and key features, including being easy to learn and use, having a broad standard library, and being portable. It also discusses popular implementations of Python like CPython and how organizations like Google, Yahoo, and NASA use Python for applications such as bioinformatics, simulations, games, and networking.
Python was developed by Guido Van Rossum in 1991 and named after Monty Python. It is an interpreted language that is commonly used for web development, software development, mathematics, and system scripting. Some key features of Python include: indentation to indicate code blocks rather than brackets; using # for comments; storing text in string variables and numeric values in number variables; and deleting objects using del statement.
This document discusses getting started with a first Python project. It covers installing Python and choosing an IDE, following coding best practices like PEP8 style guidelines, using built-in data structures, testing tools, virtual environments, project structure, and deployment tools like Supervisor. The goal is to help new Python programmers understand the basics of starting their first project.
Python Training in Pune - Ethans Tech PuneEthan's Tech
This document provides an overview of Module 1 of a Python training course. It discusses why Python is used, its history and origins from Monty Python, and the key features of Python like its scripting capabilities, portability, and use in various industries. The module objectives are to write a first Python program, use variables and keywords, and get experience with the interactive shell. It also covers installing Python, differences between Python 2 and 3, and taking the first steps in Python like running a simple print statement program.
The document discusses the benefits and advantages of the Python programming language. Python is described as a high-level, easy to use language that can be used for general programming as well as mobile and web development. It has many advantages, such as being easy to learn and use, having a large standard library, and being cross-platform. Some disadvantages are that it requires more memory than languages like C/C++ and has limited database access.
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 to address the need for a higher level language in the Amoeba operating system project. Python is widely used today for web development, science, system administration, and more due to its readability, object orientation, powerful libraries, and portability across operating systems. To use Python, one installs an IDE like Python 2.7 and then writes and runs code either in the Python command line or IDE.
This document provides an overview of the Python programming language. It describes what Python is, how it can be used for web development, software development, mathematics, and system scripting. It also covers Python's syntax features like indentation, variables, comments, and data types. Key reasons for using Python include its ability to run on different platforms, simple English-like syntax, and support for procedural, object-oriented, and functional programming.
The document provides an introduction to the Python programming language. It discusses the history and overview of Python, including that it is an interpreted, interactive, and object-oriented scripting language. It then covers Python features such as being easy to learn and read, having a broad standard library, and being portable. The document also demonstrates basic Python concepts like data types, variables, conditional statements, and functions.
This document provides an introduction to Python programming using a hands-on tutorial approach. It discusses obtaining Python for your computer, running a sample Python program called madlib.py to prompt the user for input and print a story, and explains the code for this sample program line-by-line. It emphasizes learning programming concepts and skills through active participation and experimentation rather than just presenting information.
Python is one of the powerful, high-level, easy to learn programming language that
provides a huge number of applications. Some of its features, such as being object-oriented
and open source, having numerous IDE’s, etc. make it one of the most in-demand
programming languages of the present IT industry.
According to TIOBE index, as of January 2020, Python is one of the popular programming
languages. By looking at the popularity of this programming language, many IT
professionals, both beginners as well as experienced alike, are willing to build their career
as a Python developer
web programming Unit VIII complete about python by Bhavsingh MalothBhavsingh Maloth
The document provides an introduction to Python programming. It discusses key Python concepts like functions, scopes, arguments, and iterators. The introduction covers defining functions with def statements, the LEGB rule for scopes, passing arguments by assignment, and using lambda expressions for inline functions. Iterators and list comprehensions are also introduced as ways to iterate over objects in Python.
It is possible to remove DRM from EPUB files using free Python scripts. The process involves downloading and installing Python, PyCrypto for Windows, and the ineptkey.pyw and ineptepub.pyw scripts. Running ineptkey.pyw extracts the DRM keys, and running ineptepub.pyw allows selecting an input EPUB file, key file, and output location to remove the DRM protection and create a freed EPUB file.
This document provides notes on web programming unit 2 prepared by Bhavsingh Maloth. It discusses the history and objectives of JavaScript, defining it as a scripting language used to add interactivity to HTML pages. JavaScript can be divided into core, client-side, and server-side components. Core JavaScript is the basis of the language, while client-side JavaScript supports browser controls and user interactions. Server-side JavaScript makes the language useful on web servers. The document also provides examples of how to write text, insert scripts, and use variables in JavaScript.
Learn Python Programming | Python Programming - Step by Step | Python for Beg...Edureka!
( Python Training : https://www.edureka.co/python )
This Edureka “Python Programming" introduces you to Python by giving you enough reasons to learn it. It will then take you to its various fundamentals along with a practical demonstrating the various libraries such as Numpy, Pandas, Matplotlib and Seaborn. This video helps you to learn the below topics:
1. Why should you go for Python?
2. Introduction to Python Programming Language
3. How to work with Jupyter?
4. Python Programming Fundamentals: Operators & Data Types
5. Libraries: Numpy, Pandas, Matplotlib, Seaborn
How to download and install Python - lesson 2Shohel Rana
We will follow some steps to complete the installation process of Python.
1. Download the Python installer from Python website.
2. By double clicking install it.
3. Set the path for Python
4. Check Python is working very well.
5. If you missed the path setting for Python, then uninstall it and re install Python.
Python is a general purpose, dynamic, high-level and interpreted programming language. It is used widely in data science, machine learning, web development, automation and more. Python was created in the 1990s by Guido van Rossum to be an interpreted language that bridged the gap between C and shell scripting. It has many advantages like being readable, cross-platform, having a large standard library and being open source.
Python was created in the late 1980s by Guido van Rossum as a successor to the ABC programming language. It uses dynamic typing and garbage collection for memory management. Key features include its clear syntax, object orientation, modularity through packages, and extensive standard libraries. Python code is highly readable and portable across operating systems.
This document provides an overview of a session on introducing Python programming. It discusses the history and creators of Python, its features as a high-level, general purpose, multi-paradigm language. Examples are given of successful organizations using Python like Google, Mozilla, and CERN. Sample Python code is shown for word counting programs. Common questions about Python versions, development environments, debugging, and performance are addressed. Reasons for Python's readability and popularity over other languages are explored. References for further learning Python are provided.
This document provides an introduction to the Python programming language. It discusses why Python is a good choice, describes its main features like being free, easy to learn, and having a large library of tools. It also covers installing Python via Anaconda distribution, using interactive environments like Jupyter notebooks, Python syntax basics such as variables, operators, and input/output, and resources for further learning.
This document provides an introduction to the Perl programming language. It begins with an overview of Perl, including what Perl is, its history and key features. It then discusses Perl syntax, variables types (scalars, arrays and hashes), and other important Perl concepts like variable scoping and context. The document also provides examples of basic Perl programs and commands.
In this PPT you are going to know about Which is better, Java or Python? And how? and which has career? Meet the
Experts For better Guidence : https://nareshit.com/python-online-training/
The document discusses Python, an interpreted, general-purpose programming language that supports object-oriented, imperative and functional programming. It was created by Guido van Rossum in 1989 as a successor to ABC. Python is widely used for web applications, scientific computing, system scripting and more. Its design has influenced other languages like Cython, Boo and Groovy.
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.
Php vs Python: The Comparison You Should Knowcalltutors
This document compares PHP and Python programming languages. PHP is a scripting language designed for web development that is free, flexible, open-source and supports object-oriented programming. Python is a high-level object-oriented programming language that is easy to code in, free, open-source, supports GUI programming and object-oriented features. Both languages have grown over time with new versions and frameworks being added. The document provides overviews of what PHP and Python are, their histories and key features to help determine which language may be better for different users and their needs.
The document outlines an agenda for a Python workshop. It will cover an introduction to Python, its features, uses in enterprise, popular users, and rapid application development frameworks. The workshop will also cover installation, development environments, basic syntax like strings and control flows, data structures, sorting, object-oriented concepts, modules, errors and exceptions handling, and input/output. Installation instructions for Linux and Windows are provided along with examples of basic Python code.
This document provides an introduction to the Python programming language. It discusses Python's brief history and key features like being easy to learn, having a powerful standard library, and being portable. It also outlines common uses of Python, such as web development, scientific computing, and databases. Popular projects built with Python like Reddit and Instagram are mentioned. The document compares Python to other languages and provides an overview of the Python interpreter and standard library.
Python is a popular programming language created by Guido van Rossum in 1991. It is used for web development, software development, mathematics, and system scripting. Python code can be written and executed quickly as it runs on an interpreter system. It has a simple, English-like syntax and works across many platforms. The latest major version is Python 3, though Python 2 remains popular.
Python is an interpreted, object-oriented programming language created by Guido van Rossum in 1991. It can be used for a variety of tasks like web development, data analysis, scientific computing, and more. Some key reasons for its popularity include being free and open source, having a large standard library, being portable, supporting both object-oriented and procedural programming, and having an easy-to-read syntax.
This document provides an introduction to Python programming using a hands-on tutorial approach. It discusses obtaining Python for your computer, running a sample Python program called madlib.py to prompt the user for input and print a story, and explains the code for this sample program line-by-line. It emphasizes learning programming concepts and skills through active participation and experimentation rather than just presenting information.
Python is one of the powerful, high-level, easy to learn programming language that
provides a huge number of applications. Some of its features, such as being object-oriented
and open source, having numerous IDE’s, etc. make it one of the most in-demand
programming languages of the present IT industry.
According to TIOBE index, as of January 2020, Python is one of the popular programming
languages. By looking at the popularity of this programming language, many IT
professionals, both beginners as well as experienced alike, are willing to build their career
as a Python developer
web programming Unit VIII complete about python by Bhavsingh MalothBhavsingh Maloth
The document provides an introduction to Python programming. It discusses key Python concepts like functions, scopes, arguments, and iterators. The introduction covers defining functions with def statements, the LEGB rule for scopes, passing arguments by assignment, and using lambda expressions for inline functions. Iterators and list comprehensions are also introduced as ways to iterate over objects in Python.
It is possible to remove DRM from EPUB files using free Python scripts. The process involves downloading and installing Python, PyCrypto for Windows, and the ineptkey.pyw and ineptepub.pyw scripts. Running ineptkey.pyw extracts the DRM keys, and running ineptepub.pyw allows selecting an input EPUB file, key file, and output location to remove the DRM protection and create a freed EPUB file.
This document provides notes on web programming unit 2 prepared by Bhavsingh Maloth. It discusses the history and objectives of JavaScript, defining it as a scripting language used to add interactivity to HTML pages. JavaScript can be divided into core, client-side, and server-side components. Core JavaScript is the basis of the language, while client-side JavaScript supports browser controls and user interactions. Server-side JavaScript makes the language useful on web servers. The document also provides examples of how to write text, insert scripts, and use variables in JavaScript.
Learn Python Programming | Python Programming - Step by Step | Python for Beg...Edureka!
( Python Training : https://www.edureka.co/python )
This Edureka “Python Programming" introduces you to Python by giving you enough reasons to learn it. It will then take you to its various fundamentals along with a practical demonstrating the various libraries such as Numpy, Pandas, Matplotlib and Seaborn. This video helps you to learn the below topics:
1. Why should you go for Python?
2. Introduction to Python Programming Language
3. How to work with Jupyter?
4. Python Programming Fundamentals: Operators & Data Types
5. Libraries: Numpy, Pandas, Matplotlib, Seaborn
How to download and install Python - lesson 2Shohel Rana
We will follow some steps to complete the installation process of Python.
1. Download the Python installer from Python website.
2. By double clicking install it.
3. Set the path for Python
4. Check Python is working very well.
5. If you missed the path setting for Python, then uninstall it and re install Python.
Python is a general purpose, dynamic, high-level and interpreted programming language. It is used widely in data science, machine learning, web development, automation and more. Python was created in the 1990s by Guido van Rossum to be an interpreted language that bridged the gap between C and shell scripting. It has many advantages like being readable, cross-platform, having a large standard library and being open source.
Python was created in the late 1980s by Guido van Rossum as a successor to the ABC programming language. It uses dynamic typing and garbage collection for memory management. Key features include its clear syntax, object orientation, modularity through packages, and extensive standard libraries. Python code is highly readable and portable across operating systems.
This document provides an overview of a session on introducing Python programming. It discusses the history and creators of Python, its features as a high-level, general purpose, multi-paradigm language. Examples are given of successful organizations using Python like Google, Mozilla, and CERN. Sample Python code is shown for word counting programs. Common questions about Python versions, development environments, debugging, and performance are addressed. Reasons for Python's readability and popularity over other languages are explored. References for further learning Python are provided.
This document provides an introduction to the Python programming language. It discusses why Python is a good choice, describes its main features like being free, easy to learn, and having a large library of tools. It also covers installing Python via Anaconda distribution, using interactive environments like Jupyter notebooks, Python syntax basics such as variables, operators, and input/output, and resources for further learning.
This document provides an introduction to the Perl programming language. It begins with an overview of Perl, including what Perl is, its history and key features. It then discusses Perl syntax, variables types (scalars, arrays and hashes), and other important Perl concepts like variable scoping and context. The document also provides examples of basic Perl programs and commands.
In this PPT you are going to know about Which is better, Java or Python? And how? and which has career? Meet the
Experts For better Guidence : https://nareshit.com/python-online-training/
The document discusses Python, an interpreted, general-purpose programming language that supports object-oriented, imperative and functional programming. It was created by Guido van Rossum in 1989 as a successor to ABC. Python is widely used for web applications, scientific computing, system scripting and more. Its design has influenced other languages like Cython, Boo and Groovy.
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.
Php vs Python: The Comparison You Should Knowcalltutors
This document compares PHP and Python programming languages. PHP is a scripting language designed for web development that is free, flexible, open-source and supports object-oriented programming. Python is a high-level object-oriented programming language that is easy to code in, free, open-source, supports GUI programming and object-oriented features. Both languages have grown over time with new versions and frameworks being added. The document provides overviews of what PHP and Python are, their histories and key features to help determine which language may be better for different users and their needs.
The document outlines an agenda for a Python workshop. It will cover an introduction to Python, its features, uses in enterprise, popular users, and rapid application development frameworks. The workshop will also cover installation, development environments, basic syntax like strings and control flows, data structures, sorting, object-oriented concepts, modules, errors and exceptions handling, and input/output. Installation instructions for Linux and Windows are provided along with examples of basic Python code.
This document provides an introduction to the Python programming language. It discusses Python's brief history and key features like being easy to learn, having a powerful standard library, and being portable. It also outlines common uses of Python, such as web development, scientific computing, and databases. Popular projects built with Python like Reddit and Instagram are mentioned. The document compares Python to other languages and provides an overview of the Python interpreter and standard library.
Python is a popular programming language created by Guido van Rossum in 1991. It is used for web development, software development, mathematics, and system scripting. Python code can be written and executed quickly as it runs on an interpreter system. It has a simple, English-like syntax and works across many platforms. The latest major version is Python 3, though Python 2 remains popular.
Python is an interpreted, object-oriented programming language created by Guido van Rossum in 1991. It can be used for a variety of tasks like web development, data analysis, scientific computing, and more. Some key reasons for its popularity include being free and open source, having a large standard library, being portable, supporting both object-oriented and procedural programming, and having an easy-to-read syntax.
This presentation is a part of the COP2271C college level course taught at the Florida Polytechnic University located in Lakeland Florida. The purpose of this course is to introduce Freshmen students to both the process of software development and to the Python language.
The course is one semester in length and meets for 2 hours twice a week. The Instructor is Dr. Jim Anderson.
A video of Dr. Anderson using these slides is available on YouTube at: https://www.youtube.com/watch?feature=player_embedded&v=_LxfIQuFALY
Python is a popular programming language created by Guido van Rossum in 1991. It is easy to use, powerful, and versatile, making it suitable for beginners and experts alike. Python code can be written and executed in the browser using Google Colab, which provides a Jupyter notebook environment and access to computing resources like GPUs. The document then discusses installing Python using Anaconda, basic Python concepts like indentation, variables, strings, conditionals, and loops.
Mastering the Interview: 50 Common Interview Questions DemystifiedMalcolmDupri
Embark on your journey into the world of programming with this comprehensive introduction to Python. Whether you're a beginner eager to learn your first programming language or an experienced developer seeking to expand your skill set, this Slide Share presentation is the perfect starting point. From the basics of syntax and data types to more advanced concepts like functions and modules, we'll guide you through the fundamentals of Python programming in an accessible and engaging manner. By the end of this presentation, you'll have a solid understanding of Python's capabilities and be well-equipped to tackle a variety of programming challenges.
This document provides an introduction to Python programming. It discusses the history and origins of Python, its key features and applications. Some of the main points covered include:
- Python was created in the late 1980s by Guido van Rossum and takes influence from other languages like ABC, Modula-3, C, C++ and Unix shell scripts.
- Python is an interpreted, object-oriented scripting language that is designed to be highly readable. It has applications in systems programming, GUIs, web development, data analysis, scientific computing and more.
- The document outlines Python's technical strengths like being free, portable, powerful, easy to use and learn. It also covers basics like variables,
REPORT ON AUDIT COURSE PYTHON BY SANA 2.pdfSana Khan
This document provides a summary of an audit course on Python taught by Prof. Kannan Moudgalya at IIT Bombay. It contains 6 chapters that cover topics like downloading and installing Python, data types and operators in Python, tuples and lists, loops and conditional statements, and the uses and scope of Python. The course was submitted by Sana Parveen to Moina Mam of the Department of Petroleum Studies at Aligarh Muslim University, Aligarh for the 2022-2023 academic year.
This document provides an overview and introduction to learning Python. It discusses installing Python, running Python programs through interactive prompts and files, and the basics of working with Python, including data types, operators, control statements, and functions. It also covers the differences between Python 2 and Python 3, recommending that new code be written in Python 3. The document is intended to help readers get started with learning the core concepts of the Python language.
Interpreter v/s Compiler summarizes the key differences between interpreters and compilers. Interpreters translate programs one statement at a time with no object code generated, making them more memory efficient. Compilers scan entire programs and translate them into machine code at once, generating object code and requiring more memory but providing faster overall execution time. Popular languages like JavaScript, Python, and Ruby use interpreters while C, C++, and Java use compilers.
The document compares interpreters and compilers. It states that interpreters translate code line-by-line while compilers scan the entire program at once. Interpreters have faster analysis time but slower overall execution, while compilers have slower analysis but faster execution. Interpreters do not generate object code so are more memory efficient. Languages like JavaScript, Python and Ruby use interpreters, while C, C++ and Java use compilers.
This document provides an introduction to Python programming through a series of lectures. It begins with defining Python, what it can be used for, and why it is a popular language. It then covers Python syntax compared to other languages, getting started with Python including installation and running a simple program. The document continues with topics like Python variables, data types, strings, numbers, operators, and lists. It provides examples and explanations of core Python concepts to help newcomers learn the essentials of the language.
Python is a popular programming language. It was created by Guido van Rossum, and released in 1991.
It is used for:
- web development (server-side),
- software development,
- mathematics,
- system scripting.
What can Python do?
Python can be used on a server to create web applications.
Python can be used alongside software to create workflows.
Python can connect to database systems. It can also read and modify files.
Python can be used to handle big data and perform complex mathematics.
Python can be used for rapid prototyping, or for production-ready software development.
- Why Python?
Python works on different platforms (Windows, Mac, Linux, Raspberry Pi, etc).
Python has a simple syntax similar to the English language.
Python has syntax that allows developers to write programs with fewer lines than some other programming languages.
Python runs on an interpreter system, meaning that code can be executed as soon as it is written. This means that prototyping can be very quick.
Python can be treated in a procedural way, an object-oriented way or a functional way.
- what we learn:
1- Python Install.
2- Python Comments.
3- Python Variables.
4- Python Data Types.
5- Python Numbers.
This document provides an introduction to the Python programming language. It discusses what Python is, what it can be used for, its syntax compared to other languages, how to get started with Python, variables, data types, numbers, and random numbers. Key points include that Python is an interpreted, multi-paradigm programming language used for web development, software development, mathematics, and more. It uses indentation rather than curly brackets and has a simple syntax. Variables do not require declaration, and Python has built-in data types like integers, floats, strings, lists, dictionaries, and more.
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.
This eBook is a starting point for those who just started to learn c Python programming. The
backbone of any programming, which is the data structure
and components such as strings, list, etc., have been
illustrated with many examples and enough practices to
instill a level of self-confidence in the reader.
This document provides an overview of Python programming concepts across 5 units. Unit 1 introduces Python installation, data types, variables, expressions, statements and functions. It covers integers, floats, Booleans, strings, lists and the basics of writing Python code. Unit 2 discusses control flow statements like conditionals and loops. Unit 3 covers functions, strings, arrays and lists in more detail. Unit 4 focuses on lists, tuples, dictionaries and their methods. Unit 5 discusses files, exceptions, modules and packages in Python.
Python is a popular, high-level programming language used for web development, software development, data science, and more. It can be used to build both simple scripting programs as well as large-scale applications. Key characteristics of Python include being dynamically typed, having automatic memory management, and using indentation to define code blocks rather than curly braces. Python supports procedural, object-oriented, and functional programming styles and has a large standard library.
This document provides an overview of the Python programming language. It discusses that Python is an interpreted, high-level, general-purpose programming language created by Guido van Rossum in 1991. It is commonly used for web development, software development, data science, and more. The document then covers Python syntax, basic programming concepts like variables and data types, and how to set up a Python environment and write simple Python programs.
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.
This document discusses various communication operations that are commonly used in parallel and distributed systems, including one-to-one, one-to-all, all-to-all, all-to-one, and personalized communication. It describes how these basic operations can be implemented on different network topologies like rings, meshes, and hypercubes. The communication costs for different operations on these networks are analyzed and illustrated with examples. Optimal algorithms for all-to-all personalized communication on hypercubes are also presented.
Muhammad Haroon, a PhD student enrolled in CS at HITEC University Taxila, presented a lecture on measures of location as part of a probability and statistics course. The lecture discussed chapter 3, part 2 of the topic, focusing on various measures used to describe the central tendency of a data set, including the mean, median and mode.
In this lecture, I explain All concept of OOP with Python Language like:
-Difference between object and procedural oriented programming
-Object-Oriented Programming methodologies:
o Inheritance
o Polymorphism
o Encapsulation
o Abstraction
This document discusses communication in parallel and distributed systems. It covers various communication units like messages, packets and flits. It then discusses different communication costs and parameters like startup time, per-hop time and per-word transfer time. It also covers different routing techniques like store-and-forward routing, packet routing and cut-through routing. Finally, it discusses topics like message routing, network embedding and graph mapping.
This document provides an overview of object-oriented programming (OOP) with Python. It defines some key OOP concepts like objects, classes, encapsulation, inheritance, and polymorphism. It explains that in OOP, data and functions that operate on that data are bundled together into objects. Classes provide templates for creating objects with common properties and functions. The document also gives examples of various OOP features like class variables, instance variables, methods, and constructors.
The document discusses models of parallel computers and interconnection networks. It describes the PRAM model of parallel computation which has uniform memory access and multiple identical processors. There are four subclasses of PRAM based on memory access protocols: EREW, CREW, ERCW, and CRCW. Static interconnection networks use direct point-to-point links between nodes while dynamic networks use switches to dynamically connect nodes. Topologies include bus-based, crossbar, multistage, completely connected, star, linear array, ring, and mesh networks. Performance and cost aspects of different networks are also analyzed.
The document discusses Python comments and variables. It explains that comments in Python begin with # and can be placed on their own line or at the end of a line. Multiline comments can use multiple # or triple quotes. Variables do not need declaration and are created when a value is assigned. Variable names can be short or descriptive and have certain naming rules. The data types in Python include strings, integers, floats, complexes and various sequence, mapping and set types. The type of an object can be checked with type() and data types are set automatically based on the value assigned.
The document discusses measures of location or averages in statistics. It defines the arithmetic mean as the sum of all values in a data set divided by the number of values. The population mean is denoted by μ, while the sample mean is denoted by Y bar. It also mentions other types of averages like geometric mean, harmonic mean, median and mode. Properties of a good average are listed as being clearly defined, easy to calculate, simple to understand, based on all observations, and not affected by outliers.
Flynn's taxonomy classifies parallel computers based on whether they have a single or multiple instruction/data streams. Common architectures include SISD (serial), SIMD (single instruction on multiple data), MISD (multiple instructions on single data), and MIMD (multiple instructions on multiple data). Shared memory machines provide a global address space but do not scale well, while distributed memory machines use message passing between separate memory spaces and scale better. Current high-performance machines include Blue Gene, Earth Simulator, and large clusters.
The document provides an introduction to parallel computing, covering topics like:
- The von Neumann architecture and its limitations for modern computing needs
- Motivations for parallel computing like fundamental limits on CPU speed and the growing disparity between CPU and memory speeds
- Examples of applications that benefit greatly from large-scale, parallel computing like semiconductor simulation, drug design, and weather forecasting
- Issues involved in parallel computing like designing efficient parallel algorithms and programming tools
- Models of parallel and distributed computing like message passing interface (MPI), cloud computing, and utility computing
In this Lecture show the all examples which read out the previous Lecture 03 Part 01 and Part 02. Many example explain this lecture, carefully read and do practical, with the passage of time i shall implementation in Python Programming Language.
In this Remaining Lecture that describe the topic given below:
-Chart
-Pie Chart
-Bar Chart
-1.Simple Bar Chart
-2.Multiple Bar Chart
-3.Component Bar Chart
-4.Percentage Bar Chart
-Scatter diagram
-Array
-Ungrouped Data
-Grouped Data
-Examples
-
In this Lecture, I Explain chapter # 02 (Part 01) with suitable examples which is given below topics:
-Representation of Data
-Classification
-Tabulation
-Diagram
-Graphs
-One Way Classification
-Two Way Classification
-Manifold Classification
-Simple Tabulation
-Double Tabulation
-Complex Tabulation
-Main Parts of Statistical Table
-Title
-Box-Head
-Stub
-Body of the Table
-Prefatory Note
-Foot-Note
-Source Note
-Graphical Representation
-Frequency Distribution?
-Class Limits
-Open-end Classes
-Class Boundaries
-Class Marks/Mid Points
-Class Interval/Class Width
-Class Frequency
-Relative Frequency
-Percentage Relative Frequency
-Cumulative Frequency
-Graphical Representation (G.R)
-G.R Advantages
-G.R Disadvantages
-Graphs of Frequency Distribution
-Frequency Histogram
-Frequency Polygon
-Frequency Curve
-Cumulative Frequency Polygon/Ogive
The document discusses several key concepts in parallel and distributed computing systems. It describes characteristics of decentralized algorithms, such as having no single point of failure. It also outlines various techniques for scaling systems, like dividing name spaces into zones. Finally, it examines common types of distributed systems including transaction processing, sensor networks, and healthcare monitoring systems.
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M.A. Sem - 2 | Presentation
Presentation Season - 2
Paper - 109: Literary Theory & Criticism and Indian Aesthetics
Submitted Date: April 5, 2025
Paper Name: Literary Theory & Criticism and Indian Aesthetics
Topic: Archetypal Journeys in ‘Interstellar’: Exploring Universal Themes in Nolan’s Cosmic Odyssey
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Video Link: https://youtu.be/vHLaLZPHumk
For a more in-depth discussion of this presentation, please visit the full blog post at the following link: https://rajdeepbavaliya2.blogspot.com/2025/04/archetypal-journeys-in-interstellar-exploring-universal-themes-in-nolan-s-cosmic-odyssey.html
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Interstellar analysis, Christopher Nolan archetypes, hero’s journey explained, wormhole symbolism, tesseract meaning, myth in sci-fi, cinematic archetypes, environmental themes film, love across time, Nolan film breakdown
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Lecture01 - Fundamental Programming with Python Language
1. Fundamental Programming with Python [email protected] CS/IT/SE/CSE
Muhammad Haroon – PhD CS (Enrolled) from Hitec University Taxila 0300-7327761
Fundamental Programming with Python
(Lecture # 01)
by
Muhammad Haroon
Python Introduction
What is Python?
Python is a popular programming language. It was created by Guido van Rossum, and released in 1991.
It is used for:
✓ web development (server-side),
✓ software development,
✓ mathematics,
✓ system scripting.
What can Python do?
✓ Python can be used on a server to create web applications.
✓ Python can be used alongside software to create workflows.
✓ Python can connect to database systems. It can also read and modify files.
✓ Python can be used to handle big data and perform complex mathematics.
✓ Python can be used for rapid prototyping, or for production-ready software development.
Why Python?
✓ Python works on different platforms (Windows, Mac, Linux, Raspberry Pi, etc).
✓ Python has a simple syntax similar to the English language.
✓ Python has syntax that allows developers to write programs with fewer lines than some other
programming languages.
✓ Python runs on an interpreter system, meaning that code can be executed as soon as it is written.
This means that prototyping can be very quick.
✓ Python can be treated in a procedural way, an object-orientated way or a functional way.
2. Fundamental Programming with Python [email protected] CS/IT/SE/CSE
Muhammad Haroon – PhD CS (Enrolled) from Hitec University Taxila 0300-7327761
Good to know
✓ The most recent major version of Python is Python 3, which we shall be using in this tutorial.
However, Python 2, although not being updated with anything other than security updates, is still
quite popular.
✓ In this tutorial Python will be written in a text editor. It is possible to write Python in an
Integrated Development Environment, such as Thonny, Pycharm, Netbeans or Eclipse which are
particularly useful when managing larger collections of Python files.
Python Syntax compared to other programming languages
✓ Python was designed for readability, and has some similarities to the English language with
influence from mathematics.
✓ Python uses new lines to complete a command, as opposed to other programming languages
which often use semicolons or parentheses.
✓ Python relies on indentation, using whitespace, to define scope; such as the scope of loops,
functions and classes. Other programming languages often use curly-brackets for this purpose.
Python Getting Started
Python Install
Many PCs and Macs will have python already installed.
To check if you have python installed on a Windows PC, search in the start bar for Python or run the
following on the Command Line (cmd.exe):
C:UsersYour Name>python --version
To check if you have python installed on a Linux or Mac, then on linux open the command line or on
Mac open the Terminal and type:
python --version
If you find that you do not have python installed on your computer, then you can download it for free
from the following website: https://www.python.org/
Python Quick Start
Python is an interpreted programming language, this means that as a developer you write Python (.py)
files in a text editor and then put those files into the python interpreter to be executed.
The way to run a python file is like this on the command line:
C:UsersYour Name>python helloworld.py
3. Fundamental Programming with Python [email protected] CS/IT/SE/CSE
Muhammad Haroon – PhD CS (Enrolled) from Hitec University Taxila 0300-7327761
Where "helloworld.py" is the name of your python file.
Let's write our first Python file, called helloworld.py, which can be done in any text editor.
helloworld.py
print("Hello, World!")
Simple as that. Save your file. Open your command line, navigate to the directory where you saved your
file, and run:
C:UsersYour Name>python helloworld.py
The output should read:
Hello, World!
Congratulations, you have written and executed your first Python program.
The Python Command Line
To test a short amount of code in python sometimes it is quickest and easiest not to write the code in a
file. This is made possible because Python can be run as a command line itself.
Type the following on the Windows, Mac or Linux command line:
C:UsersYour Name>python
Or, if the "python" command did not work, you can try "py":
C:UsersYour Name>py
From there you can write any python, including our hello world example from earlier in the lecture:
C:UsersYour Name>python
Python 3.7.4 (default, Aug 9 2019, 18:34:13) [MSC v.1915 64 bit (AMD64)]
Type "copyright", "credits" or "license" for more information.
IPython 7.8.0 -- An enhanced Interactive Python.
>>> print("Hello, World!")
Which will write "Hello, World!" in the command line:
C:UsersYour Name>python
Python 3.7.4 (default, Aug 9 2019, 18:34:13) [MSC v.1915 64 bit (AMD64)]
Type "copyright", "credits" or "license" for more information.
IPython 7.8.0 -- An enhanced Interactive Python.
>>> print("Hello, World!")
Hello, World!
4. Fundamental Programming with Python [email protected] CS/IT/SE/CSE
Muhammad Haroon – PhD CS (Enrolled) from Hitec University Taxila 0300-7327761
Whenever you are done in the python command line, you can simply type the following to quit the
python command line interface:
exit()
Python Syntax
Execute Python Syntax
As we learned in the previous page, Python syntax can be executed by writing directly in the Command
Line:
>>> print("Hello, World!")
Hello, World!
Or by creating a python file on the server, using the .py file extension, and running it in the Command
Line:
C:UsersYour Name>python myfile.py
Python Indentation
Indentation refers to the spaces at the beginning of a code line.
Where in other programming languages the indentation in code is for readability only, the indentation in
Python is very important. Python uses indentation to indicate a block of code.
Example
if 5 > 2:
print("Five is greater than two!")
Python will give you an error if you skip the indentation:
Example
Syntax Error:
if 5 > 2:
print("Five is greater than two!")
The number of spaces is up to you as a programmer, but it has to be at least one.
Example
5. Fundamental Programming with Python [email protected] CS/IT/SE/CSE
Muhammad Haroon – PhD CS (Enrolled) from Hitec University Taxila 0300-7327761
if 5 > 2:
print("Five is greater than two!")
if 5 > 2:
print("Five is greater than two!")
You have to use the same number of spaces in the same block of code, otherwise Python will give you
an error:
Example
Syntax Error:
if 5 > 2:
print("Five is greater than two!")
print("Five is greater than two!")
Python Variables
In Python, variables are created when you assign a value to it:
Example
Variables in Python:
x = 5
y = "Hello, World!"
Python has no command for declaring a variable.
You will learn more about variables in the Python Variables chapter.
Comments
Python has commenting capability for the purpose of in-code documentation.
Comments start with a #, and Python will render the rest of the line as a comment:
Example
Comments in Python:
#This is a comment.
print("Hello, World!")
End