- 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?
Hands-On Application Development with PyCharm
By :
Hands-On Application Development with PyCharm
By:
Overview of this book
JetBrain’s PyCharm is the most popular Integrated Development Environment (IDE) used by the Python community thanks to its numerous features that facilitate faster, more accurate, and more productive programming practices. However, the abundance of options and customizations can make PyCharm seem quite intimidating.
Hands-on Application Development with PyCharm starts with PyCharm’s installation and configuration process, and systematically takes you through a number of its powerful features that can greatly improve your productivity. You’ll explore code automation, version control, graphical debugging/testing, management of virtual environments, and much more. Finally, you’ll delve into specific PyCharm features that support web development and data science, two of the fastest growing applications in Python programming. These include the integration of the Django framework as well as the extensive support for IPython and Jupyter Notebook.
By the end of this PyCharm book, you will have gained extensive knowledge of the tool and be able to implement its features and make the most of its support for your projects.
Table of Contents (23 chapters)
Preface
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
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
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
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