Python for Everybody by Dr. Charles R. Severance

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): NA

116 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

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): James Cussens

NA Pages

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.

Author(s): wikiversity

NA Pages

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): MIT

NA Pages

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): Phil Spector

164 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

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

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.

Author(s): Guido van Rossum, Python Software Foundation

NA Pages

Python 2.4 Quick Reference

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

Author(s):

Pages