- What two main features does the SciView panel contain?
- What is the advantage of using the plot viewer in the SciView panel when multiple visualizations are generated by a Python program?
- What kind of data structures does the data viewer in the SciView panel support?
- What is the idea of iterative development and how do Jupyter notebooks support that?
- What are Markdown and LaTeX? Why is it beneficial to have support for them in Jupyter notebooks?
- How is a Jupyter code cell represented in the PyCharm editor?
- What are the benefits of writing Jupyter notebooks in the PyCharm editor?
- Title Page
- Copyright and Credits
- Dedication
- About Packt
- Contributors
- Preface
- Section 1: The Basics of PyCharm
- Introduction to PyCharm - the Most Popular IDE for Python
- Installing and Configuring PyCharm
- Section 2: Improving Your Productivity
- Customizing Interpreters and Virtual Environments
- Editing and Formatting with Ease in PyCharm
- Technical requirements
- Code inspection
- Customizable code completion support
- Refactoring
- A dynamic approach to documentation
- Summary
- Questions
- Further reading
- Version Control with Git in PyCharm
- Seamless Testing, Debugging, and Profiling
- Section 3: Web Development in PyCharm
- Web Development with JavaScript, HTML, and CSS
- Integrating Django in PyCharm
- Technical requirements
- An overview of Django
- Django in PyCharm
- Summary
- Questions
- Further reading
- Understanding Database Management with PyCharm
- Building a Web Application in PyCharm
- Section 4: Data Science with PyCharm
- Turning on Scientific Mode
- Dynamic Data Viewing with SciView and Jupyter
- Building a Data Pipeline in PyCharm
- Section 5: Plugins and Conclusion
- More Possibilities with PyCharm Plugins
- Future Developments
- Assessments
- Other Books You May Enjoy
Questions
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