Introduction to Python for Computational Science and Engineering
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Introduction to Python for Computational Science and Engineering
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.
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 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
explains the following topics: Variables, expressions and statements, Functions,
conditionals and recursion, Fruitful functions and iteration, Strings and lists,
Tuples and dictionaries, Files and exceptions, Classes and objects, Class
methods and composition, Inheritance.
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: 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.
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
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.