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Optimizing Visual Studio Code for Py...
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Bin Uzayr, Sufyan.
Optimizing Visual Studio Code for Python developmentdeveloping more efficient and effective programs in Python /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Optimizing Visual Studio Code for Python developmentby Sufyan bin Uzayr.
Reminder of title:
developing more efficient and effective programs in Python /
Author:
Bin Uzayr, Sufyan.
Published:
Berkeley, CA :Apress :2021.
Description:
xx, 205 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Application softwareDevelopment.
Online resource:
https://doi.org/10.1007/978-1-4842-7344-9
ISBN:
9781484273449$q(electronic bk.)
Optimizing Visual Studio Code for Python developmentdeveloping more efficient and effective programs in Python /
Bin Uzayr, Sufyan.
Optimizing Visual Studio Code for Python development
developing more efficient and effective programs in Python /[electronic resource] :by Sufyan bin Uzayr. - Berkeley, CA :Apress :2021. - xx, 205 p. :ill., digital ;24 cm.
Chapter 1: Introduction to Visual Studio Code -- Chapter 2: Getting Started with Python Programs in VS Code -- Chapter 3: Setting up the Environment and Testing -- Chapter 4: Working with Python Frameworks -- Chapter 5: Working with Containers and MS Azure.
Learn Visual Studio Code and implement its features in Python coding, debugging, linting, and overall project management. This book addresses custom scenarios for writing programs in Python frameworks, such as Django and Flask. The book starts with an introduction to Visual Studio Code followed by code editing in Python. Here, you will learn about the required extensions of Visual Studio Code to perform various functions such as linting and debugging in Python. Next, you will set up the environment and run your projects along with the support for Jupyter. You will also work with Python frameworks such as Django and go through data science specific-information and tutorials. Finally, you will learn how to integrate Azure for Python and how to use containers in Visual Studio Code. Optimizing Visual Studio Code for Python Development is your ticket to writing Python scripts with this versatile code editor. You will: Execute Flask development in Visual Studio Code for control over libraries used in an application Optimize Visual Studio Code to code faster and better Understand linting and debugging Python code in Visual Studio Code Work with Jupyter Notebooks in Visual Studio Code.
ISBN: 9781484273449$q(electronic bk.)
Standard No.: 10.1007/978-1-4842-7344-9doiSubjects--Uniform Titles:
Microsoft Visual studio.
Subjects--Topical Terms:
189413
Application software
--Development.
LC Class. No.: QA76.76.D47 / U93 2021
Dewey Class. No.: 005.1
Optimizing Visual Studio Code for Python developmentdeveloping more efficient and effective programs in Python /
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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.
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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.
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https://doi.org/10.1007/978-1-4842-7344-9
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