Scientific Computing with Python
Python is an efficient tool for coupling scientific computing and mathematics. This book teaches you how to use it for linear algebra, arrays, plotting, iterating, functions, and polynomials. You'll explore task automation and understand essential math concepts and algorithms along with integrations for faster computation in scientific computing.
Offered by
Difficulty Level
Intermediate
Completion Time
13h4m
Language
English
About Book
Who Is This Book For?
This book is for students with a mathematical background, university teachers designing modern courses in programming, data scientists, researchers, developers, and anyone who wants to perform scientific computation in Python.
Scientific Computing with Python
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 13h4m total length
Getting Started
Variables and Basic Types
Container Types
Linear Algebra – Arrays
Advanced Array Concepts
Plotting
Functions
Classes
Iterating
Series and Dataframes - Working With Pandas
Communication by a Graphical User Interface
Error and Exception Handling
Namespaces, Scopes, and Modules
Input and Output
Testing
Symbolic Computations - SymPy
Interacting with the Operating System
Python for Parallel Computing
Comprehensive Examples
Related Resources
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