Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Sep 2019
Publisher Packt
ISBN-13 9781789348262
Length 494 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Quan Nguyen Quan Nguyen
Author Profile Icon Quan Nguyen
Quan Nguyen
Arrow right icon
View More author details
Toc

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.

...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at ₹800/month. Cancel anytime