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Hands-On Application Development with PyCharm

Hands-On Application Development with PyCharm

By : Quan Nguyen
5 (3)
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Hands-On Application Development with PyCharm

Hands-On Application Development with PyCharm

5 (3)
By: Quan Nguyen

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)
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1
Section 1: The Basics of PyCharm
4
Section 2: Improving Your Productivity
9
Section 3: Web Development in PyCharm
14
Section 4: Data Science with PyCharm
18
Section 5: Plugins and Conclusion

Summary

A scientific project in PyCharm is created with a general structure that is common among projects in real life, including good practices such as a data folder that is excluded from version control, the README.md file, and the requirements.txt file. As you can imagine, having to manually create this setup for every project can prove to be difficult and time-consuming. This feature helps PyCharm users get right down to the development process after the project has been created so that they don't have to worry about taking care of miscellaneous details. This will allow us to be faster and more productive in our development workflow.

Additionally, PyCharm's Scientific Mode includes various features that support the development process of scientific computing or data science projects, namely the Documentation and SciView panels. In combination with this mode, you...

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