Introduction to Python Programming Course Notes

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 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

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

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): Mike Vanier

NA Pages

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): Mihir Kedia and Aseem Kishore

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

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 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): Guido van Rossum and Fred L. Drake

128 Pages

Python 2.4 Quick Reference

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

Author(s):

Pages