Unleash the power of PyCharm to craft business, scientific, and web applications in Python with this definitive guide
Key Features
- Learn 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 productivity.
What you will learn
- Explore 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 developers.
Table of Contents
- Introduction 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
, Bruce M. Van Horn, II: - Bruce M. Van Horn II, Lead Principal Software Engineer at Visual Storage Intelligence, excels in Python, C#, and JavaScript for software engineering and web development. As an Advanced Certified Scrum Master (A-CSM), he manages DevOps. With 30+ years of software experience, he's also taught for 25 years at Dallas-area colleges. Bruce authored books and videos for Packt, Skillsoft, Lynda, and LinkedIn Learning, including LinkedIn's PyCharm course. His projects earned awards, notably the U.S. Navy's IS&T award.
Nguyen, Quan: - Quan Nguyen, the author of the first edition of this book, is a Python programmer with a strong passion for machine learning. He holds a dual degree in mathematics and computer science, with a minor in philosophy, earned from DePauw University. Quan is deeply involved in the Python community and has authored multiple Python books, contributing to the Python Software Foundation and regularly sharing insights on DataScience portal. He is currently pursuing a Ph.D. in computer science at Washington University in St. Louis.
