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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
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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

Understanding Database Management with PyCharm

Databases are ubiquitous, not only in web applications but also in data and business analytics projects. Throughout this chapter, we will learn about the various tools and features available in PyCharm that facilitate the process of working with the database systems used by your Python projects. These tools include powerful features such as the SQL editor, graphical interfaces with data sources, and making query diagrams.

All web developers should have a solid understanding of how to work with databases, and learning how to do that with PyCharm will be a good conclusion to our discussions on the process of web development in Python with PyCharm.

The following topics will be covered in this chapter:

  • Connecting PyCharm to a given database
  • Relational databases
  • Utilizing the Database panel in PyCharm
  • Data manipulation via the SQL console...
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