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.
This note covers introduction to python and history, Python Structure
with basic collation, Object orientated concept and exception handling with
debugging and file handling.
Author(s): Vitthalbhai Patel and Rajaratna P T Patel Science
College
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
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
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.
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.
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.
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.
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.