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Python tools for scientists in pdf


Download this PDF book: python tools for scientists an introduction to using anaconda, jupyterlab, and python’s scientific libraries by lee vaughan.

Why Python?

Because you’re reading this book, you’ve probably already made up your mind about using Python. 

If you’re still mulling it over, however, let’s look at some reasons why you might want to choose Python for scientific programming. Otherwise, feel free to skip to the next section, “Navigating This Book” on page xxvii.

Python’s design philosophy stresses simplicity, readability, and flexibility. 

These priorities make it a useful language for all stages of research and scientific endeavors, including general computing, design of experiments, building device interfaces, connecting and controlling multiple hardware/software tools, heavy-duty number crunching, and data analysis and visualization. 

Let’s take a look at some of the key features of Python and why they are great selling points for science

About the Author

Lee Vaughan is a programmer, educator, and author of Impractical Python Projects (No Starch Press, 2019) and Real-World Python (NoStarch Press, 2021). 

As an executive-level scientist at ExxonMobil, he constructed and reviewed computer models, developed and tested software, and trained geoscientists and engineers. His books are dedicated to helping self-learners develop and hone their Python skills and have fun doing it!






Chapter 1: Installing and Launching Anaconda

Chapter 2: Keeping Organized with Conda Environments

Chapter 3: Simple Scripting in the Jupyter Qt Console

Chapter 4: Serious Scripting with Spyder

Chapter 5: Jupyter Notebook: An Interactive Journal for Computational


Chapter 6: JupyterLab: Your Center for Science


Chapter 7: Integers, Floats, and Strings

Chapter 8: Variables

Chapter 9: The Container Data Types

Chapter 10: Flow Control

Chapter 11: Functions and Modules

Chapter 12: Files and Folders

Chapter 13: Object-Oriented programming

Chapter 14: Documenting Your Work


Chapter 15: The Scientific Libraries

Chapter 16: The InfoVis, SciVis, and Dashboarding Libraries

Chapter 17: The GeoVis Libraries


Chapter 18: NumPy: Numerical Python

Chapter 19: Demystifying Matplotlib

Chapter 20: pandas, seaborn, and scikit-learn

Chapter 21: Managing Dates and Times with Python and pandas

This book is for scientists and budding scientists who want to use the Python programming language in their work. 

It teaches the basics of Python and shows the easiest and most popular way to gain access to Python’s universe of scientific libraries, the preferred method for documenting work, and how to keep various projects separate and secure.

As a mature, open source, and easy-to-learn language, Python has an enormous user base and a welcoming community eager to help you develop your skills. 

This user base has contributed to a rich set of tools and supporting libraries (collections of precompiled routines) for scientific endeavors such as data science, machine learning, language processing, robotics, computer vision, and more. 

As a result, Python has become one of the most important scientific computing languages in academia and industry.

Popularity, however, comes with a price. The Python ecosystem is growing into an impenetrable jungle. In fact, this book sprang from conversations with scientific colleagues in the corporate world. New to Python, they were frustrated, stressed, and suffering from paralysis by analysis. 

At every turn, they felt they had to make critical and difficult decisions such as which library to use to draw a chart and which text editor to use to write their programs. 

They didn’t have the time or inclination to learn multiple tools, so they wanted to choose the option with the fewest repercussions down the road.

This book is designed to address those concerns. Its goal is to help you get started with scientific computing as quickly and painlessly as possible. Think of it as a machete for hacking through the dense jungle of Python distributions, tools, and libraries

About the book:

Publisher ‏ : ‎ No Starch Press (January 17, 2023)

Language ‏ : ‎ English

Pages ‏ : ‎ 744 

File : PDF, 9MB


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