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
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
Python Concepts by wikiversity
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.
Author(s): wikiversity
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
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 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
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
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