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Премиум
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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