Introduction to Computer Science and Programming in Python

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

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

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

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 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

Introduction to Computer Science and Programming in Python

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

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.

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Learning to Program in Python (Alan Gauld)

Currently this section contains no detailed description for the page, will update this page soon.

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