Optimizing Visual Studio Code for Python Development : Developing More Efficient and Effective Programs in Python / / by Sufyan bin Uzayr

• Record Nr.: UNINA9910503002403321
• Autore: Bin Uzayr Sufyan
• Pubbl/distr/stampa: Berkeley, CA : , : Apress : , : Imprint : Apress, , 2021
• ISBN: 9781484273449; 1484273443
• Edizione: [1st ed. 2021.]
• Descrizione fisica: 1 online resource (220 pages)
• Disciplina: 005.1
• Soggetti: Microsoft software; Microsoft .NET Framework; Python (Computer program language); Microsoft; Python
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Includes index.
• Nota di contenuto: Chapter 1: Introduction to Visual Studio Code -- Chapter 2: Getting Started with Python Programs in VS Code -- Chapter 3: Setting up the Environment and Testing -- Chapter 4: Working with Python Frameworks -- Chapter 5: Working with Containers and MS Azure.
• Sommario/riassunto: Learn Visual Studio Code and implement its features in Python coding, debugging, linting, and overall project management. This book addresses custom scenarios for writing programs in Python frameworks, such as Django and Flask. The book starts with an introduction to Visual Studio Code followed by code editing in Python. Here, you will learn about the required extensions of Visual Studio Code to perform various functions such as linting and debugging in Python. Next, you will set up the environment and run your projects along with the support for Jupyter. You will also work with Python frameworks such as Django and go through data science specific-information and tutorials. Finally, you will learn how to integrate Azure for Python and how to use containers in Visual Studio Code. Optimizing Visual Studio Code for Python Development is your ticket to writing Python scripts with this versatile code editor. You will: Execute Flask ; development in Visual Studio Code for control over libraries used in an application Optimize Visual Studio Code to code faster and better Understand linting and debugging Python code in Visual Studio Code Work with Jupyter Notebooks in Visual Studio Code.