Python Tools for Scientists

An Introduction to Using Anaconda, JupyterLab, and Python's Scientific Libraries

Lee Vaughan (Autor)

Buch | Softcover

744 Seiten

2023
No Starch Press,US (Verlag)
978-1-7185-0266-6 (ISBN)

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Doing Science With Python introduces readers to the most popular coding tools for scientific research, such as Anaconda, Spyder, Jupyter Notebooks, and JupyterLab, as well as dozens of important Python libraries for working with data, including NumPy, matplotlib, and pandas. No prior programming experience is required! You'll be guided through setting up a professional coding environment, then get a crash course on programming with Python, and explore the many tools and libraries ideal for working with data, designing visualisations, simulating natural events, and more.

Lee Vaughan is a programmer, pop culture enthusiast, educator, and author of Impractical Python Projects and Real-World Python (No Starch Press). As a former executive-level scientist at ExxonMobil, he spent decades constructing and reviewing complex computer models, developed and tested software, and trained geoscientists and engineers.

Introduction
Part 1: Setting up for Science
Chapter 1: Installing Anaconda and Launching Navigator
Chapter 2: Keeping Organized with Conda Environments
Chapter 3: Simple Scripting in Jupyter Qt Console
Chapter 4: Serious Scripting with Spyder
Chapter 5: Jupyter Notebook: An Interactive Journal for Computational Research
Chapter 6: JupyterLab: Your Center for Science
Part 2: Python Primer
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
Part 3: The Scientific and Visualization Libraries
Chapter 15: The Scientific Libraries
Chapter 16: The InfoVis and SciVis Visualization Libraries
Chapter 17: The GeoVis Libraries
Part 4: The Essential 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
Appendix A: Answers to the "Test your Knowledge" Challenges

Erscheinungsdatum	05.01.2023
Verlagsort	San Francisco
Sprache	englisch
Maße	177 x 234 mm
Themenwelt	Informatik ► Theorie / Studium ► Kryptologie
Themenwelt	Mathematik / Informatik ► Informatik ► Web / Internet
ISBN-10	1-7185-0266-4 / 1718502664
ISBN-13	978-1-7185-0266-6 / 9781718502666
Zustand	Neuware