Book Image

Hands-On Application Development with PyCharm - Second Edition

By : Bruce M. Van Horn II, Quan Nguyen
5 (1)
Book Image

Hands-On Application Development with PyCharm - Second Edition

5 (1)
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)
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

Version control for datasets

Since we took a quick little side journey to discuss data collection, I hope you’ll indulge me once more while we talk about using data in a version control system such as Git. A little earlier, we opened a data file and PyCharm immediately complained about the size of the file. By modern standards, an 8 MB file isn’t very big. However, consider that most code files, PyCharm’s raison d’être, are on average well under 100K in size. If your files are very large, that’s a code smell and you should figure out what you’re doing wrong.

Here, we’re presenting PyCharm with a file that is about 8,000% bigger than what it is used to. Git is also primarily used to deal with small files coming out of an IDE. I’m bringing this up because there is somewhat of a crisis of reproducibility in the data science and scientific computing community. This is when one data team can extract a specific insight from...