Python Tools for Scientists
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Python Tools for Scientists: An Introduction to Using Anaconda, JupyterLab, and Python's Scientific Libraries

Python Tools for Scientists: An Introduction to Using Anaconda, JupyterLab, and Python's Scientific Libraries


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About the Book

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.

Table of Contents:
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

About the Author :
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.

Review :
"Python Tools for Scientists helps people get up and running in Python so that they can start solving their problems right away instead of being daunted by the dizzying array of tools available in the ecosystem. I wish something like this had been available when I first picked up Python as a scientist!" —James Bednar, Director of Custom Services, Anaconda, Inc. “Python has a wealth of scientific computing tools, so how do you decide which ones are right for you? This book cuts through the noise to help you deliver results." —Serdar Yegulalp, InfoWorld "The book [Python Tools for Scientists] by Lee Vaughan is a critical resource for anyone that is new to Python programming and intends to become a Python expert. It covers all of the critical topics in an easily understandable format and it goes deep enough to be helpful in navigating advanced topics. The book is also true to current Software Engineering standards and gives even new developers the tools to jump start their Python career." —Dr. Alec Yasinsac, Department of Computer Science, University of South Alabama "I wish there was a book like this when I started learning Python... [Python Tools for Scientists] is a practical, detailed, hands-on introduction to setting up a local Python workspace and getting started with the basics of Python programming. It was written for scientists, by a scientist who knows what the typical problems are when scientists and engineers start using Python tools in their everyday work. It also introduces the wide variety of packages that can be used in scientific programming and provides guidelines on when to use them. Matplotlib, numpy, and pandas are covered in much more detail - as they should be. The writing and the organization of the material are clear and easy to follow. I have been using Python for many years, but I know I will be using this book both in teaching and research." —Zoltán Sylvester, Senior Research Scientist, University of Texas at Austin


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Product Details
  • ISBN-13: 9781718502666
  • Publisher: No Starch Press,US
  • Publisher Imprint: No Starch Press,US
  • Height: 234 mm
  • No of Pages: 744
  • Sub Title: An Introduction to Using Anaconda, JupyterLab, and Python's Scientific Libraries
  • ISBN-10: 1718502664
  • Publisher Date: 17 Jan 2023
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Width: 177 mm


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