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1- What is Python
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2- Installing Python
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3- Code Editors
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4- Your First Python Program
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5- Python Extension
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6- Linting Python Code
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7- Formatting Python Code
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8- Running Python Code
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9- Python Implementations
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10- How Python Code is Executed
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11- Summary
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1- Variables
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2- Dynamic Typing
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3- Type Annotation
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4- Mutable and Immutable Types
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5- Strings
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6- Escape Sequences
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7- Formatted Strings
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8- Useful String Methods
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9- Numbers
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10- Arithmetic Operators
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11- Working with Numbers
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12- Type Conversion
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13- Conditional Statements
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14- Logical Operators
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15- Ternary Operator
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16- For Loops
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17- For..Else
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18- While Loops
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19- Functions
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20- Arguments- xargs
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21- Arguments- xxargs
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22- Scope
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23- Debugging
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24- VSCode Coding Tricks - Windows
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25- VSCode Coding Tricks - Mac
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26- Exercise
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27- Solution
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1- Lists
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2- Accessing Items
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3- List Unpacking
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4- Looping over Lists
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5- Adding or Removing Items
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6- Finding Items
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7- Sorting Lists
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8- Lambda Functions
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9- Map Function
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10- Filter Function
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11- List Comprehensions
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12- Zip Function
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13- Stacks
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14- Queues
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15- Tuples
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16- Swapping Variables
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17- Arrays
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18- Sets
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19- Dictionaries
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20- Dictionary Comprehensions
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21- Generator Expressions
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22- Unpacking Operator
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23- Exercise
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1- Exceptions
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2- Handling Exceptions
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3- Handling Different Exceptions
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4- Cleaning Up
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5- The With Statement
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6- Raising Exceptions
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7- Cost of Raising Exceptions
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1- Classes
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2- Creating Classes
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3- Constructors
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4- Class vs Instance Attributes
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5- Class vs Instance Methods
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6- Magic Methods
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7- Comparing Objects
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8- Performing Arithmetic Operations
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9- Making Custom Containers
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10- Private Members
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11- Properties
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12- Inheritance
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13- The Object Class
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14- Method Overriding
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15- Multi-level Inheritance
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16- Multiple Inheritance
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17- A Good Example of Inheritance
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18- Abstract Base Classes
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19- Polymorphism
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20- Duck Typing
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21- Extending Built-in Types
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22- Data Classes
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1- Creating Modules
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2- Compiled Python Files
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3- Module Search Path
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4- Packages
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5- Sub-packages
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6- Intra-package References
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7- The dir Function
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8- Executing Modules as Scripts
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1- Python Standard Library
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2- Working With Paths
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3- Working with Directories
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4- Working with Files
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5- Working with Zip Files
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6- Working with CSV Files
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7- Working with JSON Files
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8- Working with a SQLite Database
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9- Working with Timestamps
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10- Working with DateTimes
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11- Working with Time Deltas
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12- Generating Random Values
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13- Opening the Browser
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14- Sending Emails
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15- Templates
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16- Command-line Arguments
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17- Running External Programs
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1- Pypi
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2- Pip
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3- Virtual Environments
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4- Pipenv
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5- Virtual Environments in VSCode
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6- Pipfile
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7- Managing Dependencies
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8- Publishing Packages
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9- Docstrings
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10- Pydoc
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1- Introduction
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2- What are APIs
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3- Yelp API
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4- Searching for Businesses
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5- Hiding API Keys
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6- Sending Text Messages
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7- Web Scraping
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8- Browser Automation
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9- Working with PDFs
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10- Working with Excel Spreadsheets
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11- Command Query Separation Principle
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12- NumPy
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1- Introduction
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2- Your First Django Project
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3- Your First App
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4- Views
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5- Models
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6- Migrations
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7- Changing the Models
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8- Admin
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9- Customizing the Admin
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10- Database Abstraction API
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11- Templates
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12- Adding Bootstrap
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13- Customizing the Layout
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14- Sharing a Template Across Multiple Apps
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15- Url Parameters
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16- Getting a Single Object
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17- Raising 404 Errors
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18- Referencing Urls
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19- Creating APIs
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20- Adding the Homepage
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21- Getting Ready to Deploy
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22- Deployment
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1- What is Machine Learning
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2- Machine Learning in Action
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3- Libraries and Tools
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4- Importing a Data Set
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5- Jupyter Shortcuts
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6- A Real Machine Learning Problem
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7- Preparing the Data
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8- Learning and Predicting
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9- Calculating the Accuracy
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10- Persisting Models
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11- Visualizing a Decision Tree
