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Python Books

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Python Books

There are many online resources where you can find free Python books to download in PDF format, including online textbooks, ebooks, lecture notes, and more, covering basic, beginner, and advanced concepts for those looking for an introduction to the subject or a deeper understanding of it.

Introduction to Python for Computational Science and Engineering

This note covers the following topics: A powerful calculator, Data types and data structures, introspection, Input and output, Control flow, Function and modules, Functional tools, Common tasks, Python shells, Symbolic computation, Numerical Computation, Numerical python arrays, Visualising data, Numerical method using python, Pandas data science with python, Python packages and environments.

Author(s):

s 267Pages

Lecture note on Python Programming

This note covers introduction to python and history, Python Structure with basic collation, Object orientated concept and exception handling with debugging and file handling.

Author(s):

s 112Pages

Basics of python programming

This lecture note covering basic to advanced concepts of python ,program execution, arithmetic, variables and functions. It also explores turtle module case studies, conditionals, recursion, functions, iteration, strings, and lists with a focus on algorithms, dictionaries, tuples, file handling, and basic object-oriented programming, classes, functions, inheritance, and advanced Python features.

Author(s):

s 187Pages

Lecture notes on python functions

This book explains the following topics: Introduction and Review, variables, Expressions, Operators, For Loops, Range For Loops, Python Functions : Karel functions, function Analogy, Function as python Objects and Variable Scope.

Author(s):

s 116Pages

Python for Everybody by Dr. Charles R. Severance

This PDF Python for Everybody by Dr. Charles R. Severance covers the following topics related to Python : Why should you learn to write programs?, Variables, expressions, and statements, Conditional execution, Functions, Iteration, Strings, Files, Lists, Dictionaries, Tuples, Regular expressions, Networked programs, Using Web Services, Object-oriented programming, Using Databases and SQL, Visualizing data.

Author(s):

s 249Pages

How To Code in Python 3

Extremely versatile and popular among developers, Python is a good general-purpose language that can be used in a variety of applications. If you use the book in the order it is laid out, you’ll begin your exploration in Python by understanding the key differences between Python 3 and the previous versions of the language. The contents include :Python 2 vs Python 3: Practical Considerations, How To Install Python 3 and Set Up a Local Programming, Environment on Ubuntu 16.04, How To Install Python 3 and Set Up a Local Programming, Environment on macOS, How To Install Python 3 and Set Up a Local Programming, Environment on Windows 10, How To Install Python 3 and Set Up a Local Programming, Environment on CentOS 7, How To Install Python 3 and Set Up a Programming Environment on an Ubuntu 16.04 Server, How To Write Your First Python 3 Program, How To Work with the Python Interactive Console, How To Write Comments, Understanding Data Types, An Introduction to Working with Strings, How To Format Text, String Functions, How To Index and Slice Strings, How To Convert Data Types, Variables, String Formatters, How To Do Math with Operators, Built-in Python 3,Functions for Working with Numbers, Understanding Boolean Logic, Understanding Lists, List Methods, Understanding List Comprehensions, Understanding Tuples, Understanding Dictionaries, How To Import Modules, How To Write Modules, How To Write Conditional Statements, How To Construct While Loops, How To Construct For Loops, How To Use Break, Continue, and Pass Statements when Working with Loops, Construct Classes and Define Objects, Understanding Class and Instance Variables, Understanding Inheritance, How To Apply Polymorphism to Classes, How To Use the Python Debugger, How To Debug Python with an Interactive Console, How To Use Logging, Port Python 2 Code to Python 3.

Author(s):

s 459Pages

Python Machine Learning Projects

The contents include : Foreword, Setting Up a Python Programming Environment, An Introduction to Machine Learning, How To Build a Machine Learning Classifier in Python with Scikit-learn, How To Build a Neural Network to Recognize Handwritten Digits with TensorFlow, Bias-Variance for Deep Reinforcement Learning: How To Build a Bot for Atari with OpenAI Gym.

Author(s):

s 135Pages

Python Programming Course Material

The contents include: Introductions, Operators in Python, Input and Output Statements, Control flow Statements, Strings, Files, Lists, Sets, Tuples, Dictionaries, Functions, Modules.

Author(s):

s 376Pages

Python track introduction

This note covers the following topics: Python syntax, Control flow, Functions, Odds and ends,Object-oriented programming, Exception handling,Type checking, Exception handling, main differences between Python 2.x and Python 3.x, Recursion, Functional programming, Command-line arguments, Generator.

Author(s):

s NAPages

Introduction to Programming through Python and C

This note explains the following topics: Types of Digital Computers, Stored Program Computer, Computer Models, Machine Language Program, Program Execution, Central Processing Unit, Memory Write, Binary World, Assembly Language Program, High-Level Languages, Compiler, Operating System, Python Interpreter.

Author(s):

s 121Pages

Lecture Notes On Object Oriented Programming Through Python

This note describes the following topics: Introduction to Python and Object Oriented Concepts, Python Classes and Objects, Strings and Functions, Exception Handling, Graphical User Interface.

Author(s):

s 119Pages

A Gentle Introduction to Programming Using Python

This note will provide a gentle introduction to programming using Python for highly motivated students with little or no prior experience in programming computers. Topics covered includes: Variables and types, Functions, basic recursion, Control flow: Branching and repetition, Introduction to objects: Strings and lists, Structuring larger programs, Python modules, debugging programs, Introduction to data structures: Dictionaries, Functions as a type, anonymous functions and list comprehensions.

Author(s):

s NAPages

Introduction to Computer Programming Python

This note teaches the basics of programming in Python, which is an industrial-strength programming language used at companies like Google and Industrial Light and Magic. Topics covered includes: Python basics, Booleans, Strings, Modules, Loops, Lists, Dictionaries, Files, Classes, Sorting.

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s NAPages

Introduction to Python Programming by James Cussens

This note explains the following topics: Variables, expressions and statements, Functions, conditionals and recursion, Fruitful functions and iteration, Strings and lists, Tuples and dictionaries, Files and exceptions, Classes and objects, Class methods and composition, Inheritance.

Author(s):

s NAPages

Python Concepts by wikiversity

Goal of this note is to teach the following topics: Python integers, non-decimal integers, Python floats, precision of floats, Boolean algebra, complex numbers, convert numbers into different basic data types.

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s NAPages

Object Oriented Programming in Python

This note explains the following topics: Essentials of a Python program, Variables and scope, Selection control statement, Collections, Errors and exceptions, Functions, Classes, Object-oriented programming, Packaging and testing, Useful modules in the Standard Library, GUI programming with tkinter, Sorting, searching and algorithm analysis.

Author(s):

s NAPages

The Python Tutorial by Madhavan Mukund

Python is an easy to learn, powerful programming language. This tutorial does not attempt to be comprehensive and cover every single feature, or even every commonly used feature.

Author(s):

s NAPages

Introduction to Python Programming Course Notes

This note covers the following topics: Basic Principles of Python, String Data, String Operations, Numeric Data, Types of Numeric Data, Conversion of Scalar Types, Lists, Tuples and Dictionaries, Input and Output, Programming, Functions, Using Modules, Writing Modules and Exceptions.

Author(s):

s 164Pages

Introduction to Computer Science and Programming in Python

Introduction to Computer Science and Programming in Python is intended for students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems and to help students, regardless of their major, feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals.

Author(s):

s NAPages

Python Introduction for Programmers

This note assumes that you know no Python whatsoever. This note covers Python 2.2 to 2.6, which are the most common versions currently in use– it does NOT cover the recently released Python 3.0 (or 3.1) since those versions of Python are so new.

Author(s):

s 151Pages

Python Programming

Python is a high-level, structured, open-source programming language that can be used for a wide variety of programming tasks. Topics covered includes: Interactive mode, Creating Python programs, Basic syntax, Data types, Numbers , Strings, Operators , Flow control, Functions, Scoping, Exceptions, Modules, Classes, Metaclasses, Reflection, Regular Expression, GUI Programming, Game Programming in Python, Web Page Harvesting, Extending with C and C++.

Author(s):

s 199Pages

Dive Into Python

This note covers the following topics: Native Datatypes, Comprehensions, Strings, Regular Expressions, Installing Python, Closures and Generators, Classes and Iterators, Advanced Iterators, Unit Testing, Refactoring, Files, XML, Serializing Python Objects, HTTP Web Services, Case Study: Porting chardet to Python 3, Packaging Python Libraries, Porting Code to Python 3 with 2to3 and Special Method Names.

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s NAPages

Python Language Reference

This reference manual describes the syntax and core semantics of the Python language. Topics covered includes: Lexical analysis, Data model, Execution model , Expressions, Simple statements, Compound statements, Top-level components and Full Grammar specification.

Author(s):

s 128Pages

Python Library Reference

This library reference manual documents Python's standard library, as well as many optional library modules . It also documents the standard types of the language and its built-in functions and exceptions, many of which are not or incompletely documented in the Reference Manual.

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s NAPages

OReilly Python Books Chapters

Currently this section contains no detailed description for the page, will update this page soon.

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s Pages

Non Programmers Tutorial For Python (Josh Cogliati) Mirror

Currently this section contains no detailed description for the page, will update this page soon.

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s Pages

Learning to Program in Python (Alan Gauld)

Currently this section contains no detailed description for the page, will update this page soon.

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s Pages

Python 2.4 Quick Reference

Currently this section contains no detailed description for the page, will update this page soon.

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s Pages

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