Hands-On Application Development with PyCharm - Quan Nguyen

Hands-On Application Development with PyCharm

Accelerate your Python applications using practical coding techniques in PyCharm

(Autor)

Buch | Softcover
494 Seiten
2019
Packt Publishing Limited (Verlag)
978-1-78934-826-2 (ISBN)
38,65 inkl. MwSt
Hands-on Application Development with PyCharm addresses the modern-age enterprise application development concerns and how to solve them using a variety of features and functionalities available in PyCharm. This book will help you master the art of developing and delivering production-ready and real-world python applications to your clients.
A definitive guide to PyCharm to help you build business-oriented Python applications ranging from modern web development to data science

Key Features

Learn basic to advanced PyCharm concepts to improve efficiency of your Python projects
Work through practical examples that focus on efficient application development with PyCharm
Explore advanced features in PyCharm such as code automation, version control, and GUI debugging

Book DescriptionJetBrain’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.

What you will learn

Explore PyCharm functionalities and what makes it stand out from other Python IDEs
Set up, configure, and customize your Python projects in PyCharm
Understand how PyCharm integrates with Django for web development
Discover PyCharm's capabilities in database management and data visualization
Perform code automation, GUI testing, and version control in PyCharm
Integrate interactive Python tools such as Jupyter Notebooks for building virtual environments

Who this book is forIf you’re a beginner or an expert Python user looking to improve your productivity using one of the best Python IDEs, this book is for you. Basic knowledge of Python programming language is expected.

Quan Nguyen is a data scientist and Python enthusiast. He has a dual degree in mathematics and computer science, with a minor in philosophy, from DePauw University. Quan is interested in scientific computing and machine learning and enjoys incorporating technology automation into everyday tasks through programming. Quan's passion for Python has led him to be heavily involved in the Python community. He started as a primary contributor to the book Python for Scientists and Engineers and various open source projects on GitHub. Quan is also a writer for the Python Software Foundation and a content contributor for DataScience.com. He is currently pursuing a Ph.D. in computer science at Washington University in St. Louis.

Table of Contents

Introduction to PyCharm - The Most Popular IDE for Python
Installing and Configuring PyCharm
Customizing Interpreters and Virtual Environments
Editing and Formatting with Ease
Version Control with Git in PyCharm
Seamless Testing, Debugging, and Profiling
Web Development with JavaScript, HTML, and CSS
Integrating Django in PyCharm
Understanding Database Management with PyCharm
Building a Web Application in 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

Erscheinungsdatum
Verlagsort Birmingham
Sprache englisch
Maße 75 x 93 mm
Themenwelt Informatik Office Programme Outlook
Mathematik / Informatik Informatik Programmiersprachen / -werkzeuge
ISBN-10 1-78934-826-9 / 1789348269
ISBN-13 978-1-78934-826-2 / 9781789348262
Zustand Neuware
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