Unleash the power of PyCharm to craft business, scientific, and web applications in Python with this definitive guideKey FeaturesLearn basic to advanced PyCharm concepts to improve developer efficiency on your Python projects
Learn with practical examples that focus on efficient application development
Explore features such as code automation, graphical debugging, and remote development
Purchase of the print or Kindle book includes a free PDF eBook

Book Description
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 [...] you will learnExplore basic and advanced PyCharm features
Set up, configure, and customize your Python projects in PyCharm
Develop web applications with Flask, Django, FastAPI, and Pyramid
Discover PyCharm's capabilities for database management and data visualization
Explore code automation, debugging, and remote development in PyCharm
Perform data science tasks using Jupyter notebooks, NumPy, and pandas

Who this book is for
This book is for Python practitioners and learners looking to boost their productivity and proficiency by harnessing the features and capabilities of PyCharm, all while gaining insights into best practices for modern application development. Basic knowledge of Python is required, making the book accessible to both newcomers and experienced Python [...] of ContentsIntroduction to PyCharm - The Most Popular IDE for Python
Installation and Configuration
Customizing Interpreters and Virtual Environments
Editing and Formatting with Ease in PyCharm
Version Control with Git in PyCharm
Seamless Testing, Debugging, and Profiling
Web Development with JavaScript, HTML, and CSS
Building a Dynamic Web Application with Flask
Creating a RESTful API with FastAPI
Building a Dynamic Web Application with Pyramid
Understanding Database Management with PyCharm
Turning On Scientific Mode
Dynamic Data Viewing with SciView and Jupyter
Building a Data Pipeline in PyCharm
More Possibilities with PyCharm Plugins
Future Developments