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:
Application software > Development.
Computer programming.
Python (Computer program language)
Logiciels d'application > Développement.
Programmation (Informatique)
Python (Langage de programmation)
computer programming.
Business applications.
Computer programming > software development.
Programming & scripting languages: general.
Computers > Programming > General.
Computers > Desktop Applications > General.
Computers > Programming Languages > Python.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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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