81 lines
2.5 KiB
Markdown
81 lines
2.5 KiB
Markdown
# Interactive Python Course
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A comprehensive Python course designed to change the way you think about Python forever.
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Together we will walk the path to understand how this language works and gain all the necessary skills to use it effectively at work.
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## Module 0: Introduction
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In this short module, we'll take a look at how this course's platform works and learn how to get the most out of it. And also get information about our community.
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- [Introduction](./m0/introduction.md)
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- Course structure
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- Community
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- Python installation
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## Module 1: Fundamentals of Python I
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This module is designed to give you a basic understanding of Python fundamentals and fill in potential gaps.
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In this module, we will get acquainted with basic data types, variables, conditional statements, loops, and functions.
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- Variables
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- Scope of variables
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- Basic data types
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- Numeric data types
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- String data types
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- Boolean data type
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- Functions
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- Conditional statement. The if operator
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- Complex data types
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- Lists
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- Tuples
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- Sets
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- Dictionaries
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- Iterations and loops
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## Module 2: Fundamentals of Python II
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In this module, we will continue exploring the basic capabilities of Python.
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We will cover working with libraries, files, introductory concepts of object-oriented programming, and basic exception handling.
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This knowledge will complete the essential foundation for further programming in Python.
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- Using libraries
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- Built-in libraries
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- Third-party libraries and pip
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- Modules in Python
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- Working with files
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- Reading and writing text files
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- Working with structured files (JSON, CSV)
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- Object-oriented programming
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- Classes and objects
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- Attributes and methods
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- Inheritance
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- Encapsulation
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- Polymorphism
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- Lambda functions
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- Exception handling
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- Decorators
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- Working with dates and time
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- Type annotations
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## Module 3: Advanced Python
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In this module we move beyond the basics to the topics that let you build reliable, scalable, production‑ready applications.
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We will cover testing, concurrency and async, database work, and project preparation & maintenance.
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- Databases and Python
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- SQLite in Python
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- SQLAlchemy Core
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- SQLAlchemy ORM
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- Introduction to testing
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- Pytest basics
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- Pytest – fixtures & parametrization
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- Mocking & stubs
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- The unittest module
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- Coverage & CI
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- Parallel and asynchronous programming
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- Threading in Python
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- Multiprocessing in Python
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- Asynchronous programming
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- Advanced asynchronous programming
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- Concurrency and async: best practices
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