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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

Jupyter notebooks in PyCharm

For this task, we will be translating the program we have in the main.py file into a Jupyter notebook so that we can see the interface that Jupyter offers compared to a traditional Python script. I’ll be leveraging my existing jupyter_notebooks project we started with. You can find it in the chapter’s sample code. If you don’t have that repository, we cover cloning it in Chapter 2. If you’d like to start from scratch, you can simply create a new scientific project, which was covered in Chapter 12.

Creating a notebook and adding our code

To add a new Jupyter notebook in a PyCharm project, create it as though it were just a file. Click File | New | Jupyter Notebook as shown in Figure 13.26.

Figure 13.26: Create a new Jupyter notebook using the File | New menu option

Figure 13.26: Create a new Jupyter notebook using the File | New menu option

You are immediately prompted to name your notebook. I called mine basic.ipynb. The file was created in the root folder of my project...

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