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
This lecture note covering basic to advanced concepts of python ,program execution, arithmetic, variables and functions. It also explores turtle module case studies, conditionals, recursion, functions, iteration, strings, and lists with a focus on algorithms, dictionaries, tuples, file handling, and basic object-oriented programming, classes, functions, inheritance, and advanced Python features.
Author(s): S Venkata Lakshmi
187 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
This note covers the following topics: Python syntax, Control flow, Functions, Odds and ends,Object-oriented programming, Exception handling,Type checking, Exception handling, main differences between Python 2.x and Python 3.x, Recursion, Functional programming, Command-line arguments, Generator.
Author(s): Mike Vanier
NA 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
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 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 Introduction for Programmers
This note assumes that you know no Python whatsoever. This note covers Python 2.2 to 2.6, which are the most common versions currently in use– it does NOT cover the recently released Python 3.0 (or 3.1) since those versions of Python are so new.
Author(s): Bruce Beckles and Bob Dowling
151 Pages
Learning to Program in Python (Alan Gauld)
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