Python from Zero to Hero
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Knowledge needed
- Basic Programming understanding of programming
Equipment
- Laptop
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Course outline
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Linux Basics
Understand the basic usage of the Linux operating system.
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Linux Commands
Commands you must know to navigate linux
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Development Environment Setup
Install the tools used for python development
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Version Control - git
In this section, you’ll learn the basics of version control using Git, an essential tool for modern software development. You’ll understand how to track changes in your code, manage different versions, and collaborate with others effectively. We’ll cover key concepts like repositories, commits, branches, and merging, giving you the skills to safely manage and organize your projects.
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Object and Data Structure
In this section, you’ll learn the fundamental building blocks of programming: objects and data structures. We’ll explore how Python represents data using types like strings, integers, lists, tuples, dictionaries, and sets, and how to work with them effectively. By the end, you’ll understand how to store, organize, and manipulate data in a way that makes your programs more efficient, readable, and powerful.
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Comparison Operators
In this section, you’ll learn how to use comparison operators to evaluate and compare values in Python. These operators—such as equal to (==), not equal to (!=), greater than (>), and less than (<)—allow your programs to make decisions by returning true or false outcomes. Understanding how comparisons work is essential for controlling program flow, especially when working with conditions, logic, and decision-making structures like if statements.
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Statements
In this section, you’ll learn about statements—the instructions that make up a Python program. We’ll cover how Python executes code line by line, and how different types of statements, such as assignments and control flow statements, direct the behavior of your program. By understanding statements, you’ll be able to structure your code clearly and control how your program runs.
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Methods and Functions
In this section, you’ll learn about functions and methods in Python, which are essential for writing clean, reusable code. You’ll explore how to define your own functions, pass arguments, and return values, as well as how methods are used to interact with objects and data structures. By the end, you’ll be able to break your programs into manageable pieces, making your code easier to read, maintain, and expand.
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Object Oriented Programming
In this section, you’ll be introduced to Object-Oriented Programming (OOP) in Python, a powerful way to structure and organize your code. You’ll learn how to create and use classes and objects, and understand key concepts like attributes, methods, encapsulation, and inheritance. By the end, you’ll be able to design programs that are more modular, reusable, and easier to maintain.
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Modules and Packages
In this section, you’ll learn how to organize and structure your Python code using modules and packages. We’ll explore how to split programs into smaller, reusable files, how to import and use built-in and custom modules, and how packages help group related functionality together. By the end, you’ll be able to write cleaner, more maintainable code and manage larger projects with confidence.
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Error Handling
In this section, you’ll learn how to handle errors and exceptions in Python to make your programs more robust and reliable. We’ll cover how to use try, except, and finally blocks to catch and manage errors, as well as how to raise your own exceptions when needed. By understanding error handling, you’ll be able to prevent crashes and ensure your programs respond gracefully to unexpected situations.
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Decorators
In this section, you’ll learn about decorators in Python, a powerful feature that allows you to modify or extend the behavior of functions without changing their code. You’ll explore how decorators work, how to create your own, and how they are commonly used for tasks like logging, access control, and performance tracking. By the end, you’ll understand how to write cleaner, more reusable code using decorators.
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Generators
In this section, you’ll learn about generators in Python, a powerful way to work with sequences of data efficiently. Instead of storing all values in memory at once, generators produce items one at a time using the yield keyword. This makes them ideal for handling large datasets and streams of data. By the end, you’ll understand how to create and use generators to write more memory-efficient and performant code.
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3D objects
In this section, you’ll explore how to work with 3D objects in Python. You’ll learn the basics of representing objects in three-dimensional space, including coordinates, shapes, and transformations like rotation and scaling. We’ll also introduce simple libraries that allow you to create and visualize 3D scenes. By the end, you’ll understand how 3D objects are built and manipulated in code, opening the door to game development, simulations, and visual projects.
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Data Mining and Large-Scale Data Analysis
In this section, you’ll learn how to work with large datasets and extract meaningful insights from them using Python. We’ll cover the fundamentals of data mining, including cleaning, processing, and analyzing data to identify patterns and trends. You’ll also be introduced to tools and techniques used for handling big data efficiently. By the end, you’ll be able to turn raw data into useful information that can support decision-making and real-world applications.
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