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Hands-On Application Development with Pycharm : Accelerate Your Python Applications Using Practical Coding Techniques in Pycharm.

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Nguyen, Quan (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham, UK : Packt Publishing Ltd., 2019.
Temas:
Acceso en línea:Texto completo

MARC

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504 |a Includes bibliographical references. 
520 |a 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. 
505 0 |a Hands-on application development with PyCharm : accelerate your Python applications using practical coding techniques in Pycharm -- Dedication -- About Packt -- Contributors -- Table of Contents -- Preface -- Section 1: The Basics of PyCharm -- Chapter 1: Introduction to PyCharm -- the Most Popular IDE for Python -- Chapter 2: Installing and Configuring PyCharm -- Section 2: Improving Your Productivity -- Chapter 3: Customizing Interpreters and Virtual Environments -- Chapter 4: Editing and Formatting with Ease in PyCharm -- Chapter 5: Version Control with Git in PyCharm -- Chapter 6: Seamless Testing, Debugging, and Profiling -- Section 3: Web Development in PyCharm -- Chapter 7: Web Development with JavaScript, HTML, and CSS -- Chapter 8: Integrating Django in PyCharm -- Chapter 9: Understanding Database Management with PyCharm -- Chapter 10: Building a Web Application in PyCharm -- Section 4: Data Science with PyCharm -- Chapter 11: Turning on Scientific Mode -- Chapter 12: Dynamic Data Viewing with SciView and Jupyter -- Chapter 13: Building a Data Pipeline in PyCharm -- Section 5: Plugins and Conclusion -- Chapter 14: More Possibilities with PyCharm Plugins -- Chapter 15: Future Developments -- Assessments -- Other Books You May Enjoy -- Index. 
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