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Hands-On Application Development with PyCharm

You're reading from   Hands-On Application Development with PyCharm Accelerate your Python applications using practical coding techniques in PyCharm

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Product type Paperback
Published in Sep 2019
Publisher Packt
ISBN-13 9781789348262
Length 494 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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Quan Nguyen Quan Nguyen
Author Profile Icon Quan Nguyen
Quan Nguyen
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Table of Contents (23) Chapters Close

Preface 1. Section 1: The Basics of PyCharm
2. Introduction to PyCharm - the Most Popular IDE for Python FREE CHAPTER 3. Installing and Configuring PyCharm 4. Section 2: Improving Your Productivity
5. Customizing Interpreters and Virtual Environments 6. Editing and Formatting with Ease in PyCharm 7. Version Control with Git in PyCharm 8. Seamless Testing, Debugging, and Profiling 9. Section 3: Web Development in PyCharm
10. Web Development with JavaScript, HTML, and CSS 11. Integrating Django in PyCharm 12. Understanding Database Management with PyCharm 13. Building a Web Application in PyCharm 14. Section 4: Data Science with PyCharm
15. Turning on Scientific Mode 16. Dynamic Data Viewing with SciView and Jupyter 17. Building a Data Pipeline in PyCharm 18. Section 5: Plugins and Conclusion
19. More Possibilities with PyCharm Plugins 20. Future Developments 21. Assessments 22. Other Books You May Enjoy

Turning on Scientific Mode

We are now starting the third main section of this book, Data Science with PyCharm. In this chapter, we will discuss the various features of PyCharm that support scientific computing and data analysis projects. These include a specialized Scientific Mode that streamlines the process of working with data structures, variables, and documentation.

The following topics will be covered in this chapter:

  • Starting a scientific project in PyCharm
  • Understanding the advanced features of PyCharm's scientific projects

By the end of this chapter, you will understand how these features can improve productivity in scientific computing projects. This chapter will serve as a general, high-level discussion on the various tools PyCharm offers and will help you understand scientific computing and how these tools are integrated and work with each other.

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