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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
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
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
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
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
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
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