- The SciView panel contains the Plots tab, which displays all the visualizations that have been generated by a Python program, and the Data tab, which can be used to inspect the values of data-related variables.
- All of the visualizations that are generated by a Python program are included in the Plot viewer of the SciView panel, where a user can navigate through them with a straightforward graphical interface. Since all of the visualizations are temporarily saved to the panel, the whole program can run in one go. This also allows us to avoid clicking through the Matplotlib plots in order to proceed with the execution, which is the case when executing a Python program from, say, the Terminal.
- The data viewer of the SciView panel supports pandas DataFrames and NumPy arrays.
- Iterative development is done when a given program is split into different sections so that the...
Hands-On Application Development with PyCharm
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Hands-On Application Development with PyCharm
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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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