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.
Author(s): Mark Pilgrim
NA Pages 
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): Hans Fangohr
267 Pages
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): Vitthalbhai Patel and Rajaratna P T Patel Science College
112 Pages
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 Venkata Lakshmi
187 Pages
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): Lisa Tagliaferri, DigitalOcean, New York City, New York, USA
459 Pages
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): Lisa Tagliaferri, Michelle Morales, Ellie Birbeck, and Alvin Wan
135 Pages
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): Mr. M Purushotham Reddy and Mrs. A Lakshmi
119 Pages
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): Dr. Ana Bell, Prof. Eric Grimson and Prof. John Guttag
NA Pages
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): Bruce Beckles and Bob Dowling
151 Pages
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): wikimedia.org
199 Pages
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