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Mastering Python Scientific Computing Cover

Mastering Python Scientific Computing

A complete guide for Python programmers to master scientific computing using Python APIs and tools

Publisher:Packt Publishing Limited
Paid access
|Sep 2025
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A complete guide for Python programmers to master scientific computing using Python APIs and tools.

Key Features

    Book Description

    In today's world, along with theoretical and experimental work, scientific computing has become an important part of scientific disciplines. Numerical calculations, simulations and computer modeling in this day and age form the vast majority of both experimental and theoretical papers. In the scientific method, replication and reproducibility are two important contributing factors. A complete and concrete scientific result should be reproducible and replicable. Python is suitable for scientific computing. A large community of users, plenty of help and documentation, a large collection of scientific libraries and environments, great performance, and good support makes Python a great choice for scientific computing.
    At present Python is among the top choices for developing scientific workflow and the book targets existing Python developers to master this domain using Python. The main things to learn in the book are the concept of scientific workflow, managing scientific workflow data and performing computation on this data using Python.
    The book discusses NumPy, SciPy, SymPy, matplotlib, Pandas and IPython with several example programs.

    What you will learn

    • Fundamentals and components of scientific computing
    • Scientific computing data management
    • Performing numerical computing using NumPy and SciPy
    • Concepts and programming for symbolic computing using SymPy
    • Using the plotting library matplotlib for data visualization
    • Data analysis and visualization using Pandas, matplotlib, and IPython
    • Performing parallel and high performance computing
    • Reallife case studies and best practices of scientific computing

    Who this book is for

    If you are a Python programmer and want to get your hands on scientific computing, this book is for you. The book expects you to have had exposure to various concepts of Python programming.

    Table of Contents

    1. The Landscape of Scientific Computing and Why Python
    2. A Deeper Dive of Scientific Workflows
    3. Efficiently Fabricating and Managing the Scientific Data
    4. Science Computing APIs for Python
    5. Performing Numerical Computing
    6. Applying Python for Symbolic Computing
    7. Visual Flavor of Scientific Computing
    8. Scientific Computing Involving Parallel Computing and Large Scale Computation
    9. Revisiting Real-life Case Studies
    10. Best Practices for Scientific Computing
    PDF ISBN: 978-1-78328-883-0
    Publisher: Packt Publishing Limited
    Copyright owner: © 2015 Packt Publishing Limited
    Publication date: 2025
    Language: English
    Pages: 300

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