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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
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Concepts
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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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Quan Nguyen, the author of the first edition of this book, is a Python programmer with a strong passion for machine learning. He holds a dual degree in mathematics and computer science, with a minor in philosophy, earned from DePauw University. Quan is deeply involved in the Python community and has authored multiple Python books, contributing to the Python Software Foundation and regularly sharing insights on DataScience portal. He is currently pursuing a Ph.D. in computer science at Washington University in St. Louis.
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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

Questions

  1. What two main features does the SciView panel contain?
  2. What is the advantage of using the plot viewer in the SciView panel when multiple visualizations are generated by a Python program?
  3. What kind of data structures does the data viewer in the SciView panel support?
  4. What is the idea of iterative development and how do Jupyter notebooks support that?
  5. What are Markdown and LaTeX? Why is it beneficial to have support for them in Jupyter notebooks?
  6. How is a Jupyter code cell represented in the PyCharm editor?
  7. What are the benefits of writing Jupyter notebooks in the PyCharm editor?
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Authors (1)

Profile icon Quan Nguyen
Quan Nguyen
LinkedIn icon Github icon
Quan Nguyen, the author of the first edition of this book, is a Python programmer with a strong passion for machine learning. He holds a dual degree in mathematics and computer science, with a minor in philosophy, earned from DePauw University. Quan is deeply involved in the Python community and has authored multiple Python books, contributing to the Python Software Foundation and regularly sharing insights on DataScience portal. He is currently pursuing a Ph.D. in computer science at Washington University in St. Louis.
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See other products by Quan Nguyen

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