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Table Of Contents
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 (24 chapters)
Preface
Chapter 1: Introduction to PyCharm – the Most Popular IDE for Python
Chapter 2: Installing and Configuring PyCharm
Part 2: Improving Your Productivity
Chapter 3: Customizing Interpreters and Virtual Environments
Chapter 4: Editing and Formatting with Ease in PyCharm
Chapter 5: Version Control with Git in PyCharm
Chapter 6: Seamless Testing, Debugging, and Profiling
Part 3: Web Development in PyCharm
Chapter 7: Web Development with JavaScript, HTML, and CSS
Chapter 8: Building a Dynamic Web Application with Flask
Chapter 9: Creating a RESTful API with FastAPI
Chapter 10: More Full Stack Frameworks – Django and Pyramid
Chapter 11: Understanding Database Management in PyCharm
Part 4: Data Science with PyCharm
Chapter 12: Turning On Scientific Mode
Chapter 13: Dynamic Data Viewing with SciView and Jupyter
Chapter 14: Building a Data Pipeline in PyCharm
Part 5: Plugins and Conclusion
Chapter 15: More Possibilities with Plugins
Chapter 16: Your Next Steps with PyCharm
Index