Hands-on Application Development with PyCharm

A definitive guide to PyCharm to help you build business-oriented Python applications ranging from modern web development to data scienceKey FeaturesLearn basic to advanced PyCharm concepts to improve efficiency of your Python projectsWork through practical examples that focus on efficient application development with PyCharmExplore advanced features in PyCharm such as code automation version control and GUI debuggingBook 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 learnExplore PyCharm functionalities and what makes it stand out from other Python IDEsSet up configure and customize your Python projects in PyCharmUnderstand how PyCharm integrates with Django for web developmentDiscover PyCharm's capabilities in database management and data visualizationPerform code automation GUI testing and version control in PyCharmIntegrate interactive Python tools such as Jupyter Notebooks for building virtual environmentsWho 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. About the Author 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.