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

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

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 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 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): wikimedia.org

199 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

OReilly Python Books Chapters

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Author(s):

Pages