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.
Extremely versatile and popular among developers, Python is a good
general-purpose language that can be used in a variety of applications. If you use the book in the order it is
laid out, you’ll begin your exploration in Python by understanding the key differences between Python 3
and the previous versions of the language. The contents include :Python 2 vs Python 3: Practical
Considerations, How To Install Python 3 and Set Up a Local Programming,
Environment on Ubuntu 16.04, How To Install Python 3 and Set Up a Local Programming, Environment on
macOS, How To Install Python 3 and Set Up a Local Programming, Environment on Windows 10, How
To Install Python 3 and Set Up a Local Programming, Environment on CentOS 7, How To Install
Python 3 and Set Up a Programming Environment on an Ubuntu 16.04 Server, How To Write Your
First Python 3 Program, How To Work with the Python Interactive Console, How To Write Comments,
Understanding Data Types, An Introduction to Working with Strings, How To Format
Text, String Functions, How To Index and Slice Strings, How To Convert
Data Types, Variables, String Formatters, How To Do Math with Operators,
Built-in Python 3,Functions for Working with Numbers, Understanding Boolean Logic, Understanding
Lists, List Methods, Understanding List Comprehensions, Understanding Tuples,
Understanding Dictionaries, How To Import Modules, How To Write Modules, How To Write
Conditional Statements, How To Construct While Loops, How To Construct For Loops, How To Use
Break, Continue, and Pass Statements when Working with Loops, Construct Classes and Define Objects, Understanding
Class and Instance Variables, Understanding Inheritance, How To Apply Polymorphism to Classes, How
To Use the Python Debugger, How To Debug Python with an Interactive Console, How To Use
Logging, Port Python 2 Code to Python 3.
Author(s): Lisa Tagliaferri, DigitalOcean, New York City,
New York, USA
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 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.
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.
Introduction to Computer Science and
Programming in Python is intended for students with little or no programming
experience. It aims to provide students with an understanding of the role
computation can play in solving problems and to help students, regardless of
their major, feel justifiably confident of their ability to write small programs
that allow them to accomplish useful goals.
Author(s): Dr. Ana Bell, Prof.
Eric Grimson and Prof. John Guttag