Hands-On Application Development with PyCharm

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 projectsLearn with practical examples that focus on efficient application developmentExplore features such as code automation, graphical debugging, and remote developmentPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionIn 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 learnExplore basic and advanced PyCharm featuresSet up, configure, and customize your Python projects in PyCharmDevelop web applications with Flask, Django, FastAPI, and PyramidDiscover PyCharm's capabilities for database management and data visualizationExplore code automation, debugging, and remote development in PyCharmPerform data science tasks using Jupyter notebooks, NumPy, and pandasWho this book is forThis 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.]]>