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Hands-On Application Development with PyCharm

Hands-On Application Development with PyCharm

By : Bruce M. Van Horn II, Quan Nguyen
4.8 (4)
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Hands-On Application Development with PyCharm

Hands-On Application Development with PyCharm

4.8 (4)
By: Bruce M. Van Horn II, Quan Nguyen

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)
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1
Part 1: The Basics of PyCharm
4
Part 2: Improving Your Productivity
9
Part 3: Web Development in PyCharm
15
Part 4: Data Science with PyCharm
19
Part 5: Plugins and Conclusion

Using an existing virtual environment

Sometimes, you need to make a project with the exact same requirements used in another project. You can share or reuse a virtual environment easily in PyCharm. Figure 3.5 shows the New Project dialog in PyCharm.

To use an existing virtual environment, you’d need to change the default setting from New environment using to Previously configured interpreter, as seen in Figure 3.6:

Figure 3.6: You can point your project to an existing virtual environment by changing the setting for the project

Figure 3.6: You can point your project to an existing virtual environment by changing the setting for the project

Once you do that, your options for selecting an existing environment become active. There is a drop-down list available to pick the interpreter. It works the same as the Base interpreter dropdown we saw earlier when creating a new virtual environment. If you created the existing environment in PyCharm, the IDE would remember it. In this case, I previously created a virtual environment using PyCharm when I created the demo...

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