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Hands-On Application Development with PyCharm
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Hands-On Application Development with PyCharm
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Overview of this book
In the quest to develop robust, professional-grade software with Python and meet tight deadlines, it’s crucial to have the best tools at your disposal. In this second edition of Hands-on Application Development with PyCharm, you’ll learn tips and tricks to work at a speed and proficiency previously reserved only for elite developers.
To achieve that, you’ll be introduced to PyCharm, the premiere professional integrated development environment for Python programmers among the myriad of IDEs available. Regardless of how Python is utilized, whether for general automation scripting, utility creation, web applications, data analytics, machine learning, or business applications, PyCharm offers tooling that simplifies complex tasks and streamlines common ones. In this book, you'll find everything you need to harness PyCharm's full potential and make the most of Pycharm's productivity shortcuts. The book comprehensively covers topics ranging from installation and customization to web development, database management, and data analysis pipeline development helping you become proficient in Python application development in diverse domains.
By the end of this book, you’ll have discovered the remarkable capabilities of PyCharm and how you can achieve a new level of capability and productivity.
Table of Contents (24 chapters)
Preface
Part 1: The Basics of PyCharm
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
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