Introduction to Computer Programming Python

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

Introduction to Programming through Python and C

This note explains the following topics: Types of Digital Computers, Stored Program Computer, Computer Models, Machine Language Program, Program Execution, Central Processing Unit, Memory Write, Binary World, Assembly Language Program, High-Level Languages, Compiler, Operating System, Python Interpreter.

Author(s): Goutam Biswas

121 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 Programming Python

This note teaches the basics of programming in Python, which is an industrial-strength programming language used at companies like Google and Industrial Light and Magic. Topics covered includes: Python basics, Booleans, Strings, Modules, Loops, Lists, Dictionaries, Files, Classes, Sorting.

Author(s): Marek Ryszard Janicki

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

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 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

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):

Pages