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): Dr. Charles R. Severance
249 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
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): Mr. P. Prathap Naidu
376 Pages
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): Mike Vanier
NA 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
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): Madhavan Mukund
NA 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
Currently this section contains no detailed description for the page, will update this page soon.
Author(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.
Author(s):
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