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

Data collection

We’re lucky. I’ve already found our data and included it for your consideration. In the real world, we would have needed to have performed the normal step of data collection. While there are entire tomes on this topic – most 4-year scientific university degree programs focus heavily on this topic – I don’t plan on doing a deep dive here. However, I will at least give you an overview should you be new to what we’re trying to accomplish.

Downloading from an external source

This is the case for our example dataset since I downloaded it from Kaggle. When using a dataset downloaded from the internet, we should always make sure to check its copyright license. Most of the time, if it is in the public domain, we can freely use and distribute it without any worry. The example dataset we are using is an instance of this. On the other hand, if the dataset is copyrighted, we might still be able to use it by asking for permission from...