Optimizing Visual Studio Code for Python Development: Developing More Efficient and Effective Programs in Python

Table of Contents
About the Author
About the Technical Reviewer
Acknowledgments
Introduction
Chapter 1: Introduction to Visual Studio Code
	User Interface
		Basic Layout
		Side-By-Side Editing
		Minimap
		Indent Guides
		Breadcrumbs
		Explorer
		Multiselection
		Filtering the Document Tree
		Outline View
		Markdown Outline View
		Open Editors
		Views
		Activity Bar
		Command Palette
	Configuring the Editor
		Hiding the Menu Bar (for Windows, Linux)
		Settings
		Zen Mode
		Centered Editor Layout
		Tabs
		Tab Ordering
		Preview Mode
		Editor Groups
		Keyboard Shortcuts
		Disabling Preview Mode
		Using Ctrl+Tab to Navigate in Entire Editor History
		Closing an Entire Group Instead of a Single Editor
		Window Management
	Setting Up Visual Studio Code
		Cross-Platform
			MacOS
			Linux
			Windows
		Updating Cadence
		Insiders Nightly Build
		Portable Mode
		Additional Components
		Extensions
	Key Bindings for Visual Studio Code
		Keyboard Shortcuts Editor
			Detecting Keybinding Conflicts
			Troubleshooting Keybindings
		Keyboard Rules
		Accepted Keys
		Command Arguments
		Removing a Specific Key Binding Rule
		Keyboard Layout-Independent Nindings
		When Clause Contexts
		Conditional Operators
		Available Contexts
		Programming Languages Supported
		Language Features in VS Code
		Changing the Language for the Selected File
		Additional Components and Tools
		Commonly Used Components
		VS Code Extensions
		Additional Tools
		Settings Precedence
		Settings and Security
	Summary
Chapter 2: Getting Started with Python Programs in Visual Studio Code
	Installation Basics
	Reviewing the Required Extensions
		Tabnine
		Bracket Pair Colorizer
		Python Snippets
		Python Test Explorer for Visual Studio Code
		Configuring Debug
		Better Comments
		AutoDocstring
		Python Indent
	Getting Started with Code Editing
		Autocomplete and IntelliSense
		Customizing IntelliSense Behavior
		Troubleshooting
		Running Selection/Line in Terminal (REPL)
		Formatting
			General Formatting Settings
		Troubleshooting Your Formatting
		Refactoring
			Extract Variable
			Extract Method
			Sort Imports
	Linting
		Enabling Linters
		Disabling Linting
		Running Linting
		Linting Settings
			Specific Linters
		Pylint
			Default Pylint Rules
		Troubleshooting Linting
	Debugging
		Initializing Configurations
		Additional Configurations
		Basic Debugging
		Conditional Breakpoints
			Invoking a Breakpoint in Code
			Breakpoint Validation
			Debugging Specific App Types
	Summary
Chapter 3: Setting Up the Environment and Testing
	Setting Up Your Environment
		Manually Specifying an Interpreter
		Selecting and Activating an Environment
		Environments and Terminal Windows
		Choosing a Debugging Environment
		Environment Variable Definitions File
		Variable Substitution
		Using the PYTHONPATH Variable
	Running Your Projects
		Selecting a Python Interpreter
		Creating a Python Hello World Source Code File
		Running Hello World
		Running the Python Debugger
			Configuring and Initializing the Debugger
			Defining Variables
		Installing and Using Packages
	Supportting Jupyter
		Jupyter Code Cells
		Additional Commands and Keyboard Shortcuts
		Python Interactive Window
		Plot Viewer
		Live Share for Python Interactive
		Variable Explorer and Data Viewer
		Connecting to a Remote Jupyter Server
		Converting Jupyter Notebooks to Python Code File
		Debugging a Jupyter Notebook
		Exporting a Jupyter Notebook
		Configuration Files
			JUPYTER_CONFIG_DIR
			JUPYTER_CONFIG_PATH
		Data Files
			JUPYTER_PATH
			JUPYTER_DATA_DIR
		Runtime File
			JUPYTER_RUNTIME_DIR
	Summary
Chapter 4: Working with Python Frameworks
	Python Frameworks Ecosystem at a Glance
	Django Development
		Installation
		Creating a Project Environment for the Django Tutorial
		Creating and Running a Minimal Django App
		Creating the Django Project
		Creating a Django App
		Creating a Debugger Launch Profile
		Exploring the Debugger
		Using Definition and Peek Definition Commands
		Using a Template to Render a Page
		Serving Static Files
		Readying the App for Static Files
		Referring to Static Files
		Using the Collectstatic Command
		Creating Multiple Templates That Extend a Base Template
		Creating a Base Page Template and Styles
		Creating a Code Snippet
		Working with Data, Data Models, and Migrations
		Types of Databases
		Migrating the Database
		Creating a Superuser and Enabling the Administrative Interface
	Flask Development
		Creating and Running a Minimal Flask App
		Running the App in the Debugger
		Using Definition and Peek Definition Commands
		Using a Template to Render a Page
		Creating a Requirements.txt File for the Environment
	Data Science–Specific Information and Tutorials
		Setting Up a Data Science Environment
		Preparing the Data
		Training and Evaluating a Model
	Summary
Chapter 5: Working with Containers and MS Azure
	Integrating Azure for Your Python Projects
		Key Azure Services
			Computer Services
			Identity
			Azure Mobile Services
			Storage Services
			Data Management
			Messaging Products
			CDN
			Management
			Azure AI
			Azure Blockchain Workbench
		Creating a Function in Azure with Python Using Visual Studio Code
		Deploying Docker Containers to Azure App Service
	Using Containers in VS Code
		Operating with Containers
		Creating a Devcontainer.json File
		Managing Extensions
		Forcing an Extension to Operate Locally or Remotely
		Forwarding or Publishing a Port
		Temporarily Forwarding a Port
		Personalizing with Dotfile Repositories
	Summary
Index