Book Image

Hands-On Application Development with PyCharm

By : Quan Nguyen
Book Image

Hands-On Application Development with PyCharm

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)
Free Chapter
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

Data analysis and insights

Remember what we said about the importance of having a question in mind when starting to work on a data science project? This is especially true during this phase where we explore our dataset and extract insights, which should revolve around our initial question—the connection between typing speed and whether a patient has Parkinson's or not.

Throughout this section, we will be working with the EDA.ipynb file, located in the notebooks folder of our current project. In the following subsections, we will be looking at the code included in this notebooks folder. Go ahead and open this Jupyter notebook in your PyCharm editor, or, if you are following our discussions and entering your own code, create a new Jupyter notebook.

Starting the notebook and...