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Learn Python Programming Masterclass

Byoopstart

Whether you’re just starting out coding or looking to enhance your skills, the Learn Python Programming Masterclass will guide you from the absolute basics of Python’s core concepts to advanced techniques.

You’ll learn how to write clean, efficient code, tackle real-world projects, and develop the problem-solving mindset essential to mastering Python. By the end, you’ll be well-equipped to use Python for web development, data analysis, automation, and more.

Let’s get started!…

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  • What is Python?
  • Why Learn Python?
  • Setting Up Python (Installation and IDE setup)
  • Writing Your First Python Program (Hello World)
  • Running Python Programs
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  • Introduction to Variables and Data Types
  • Integers, Floats, Strings, Booleans
  • Assigning Values to Variables
  • Comments and Code Structure
  • Printing Output (print() function)
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  • Arithmetic Operations (+, -, *, /, %, **)
  • Operator Precedence
  • Assignment Operators
  • Basic Input from User (input() function)
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  • String Declaration and Manipulation
  • String Methods (upper(), lower(), strip(), replace(), etc.)
  • String Concatenation and Repetition
  • String Formatting (f-strings)
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  • Introduction to Conditionals
  • if, elif, and else Statements
  • Comparison Operators (==, !=, <, >, etc.)
  • Boolean Logic (and, or, not)
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  • Introduction to Loops
  • while Loop and Examples
  • for Loop with Iteration Over Lists and Ranges
  • Breaking Out of Loops (break and continue)
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  • Creating Tuples
  • Accessing Tuple Elements
  • Slicing Tuples
  • Tuples are Immutable
  • Tuple Methods
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  • Introduction to Lists
  • Creating and Accessing Lists
  • List Methods (append(), remove(), sort(), etc.)
  • Slicing Lists
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  • Creating Dictionaries
  • Accessing Dictionary Values
  • Adding and Modifying Dictionary Items
  • Removing Items from a Dictionary
  • Checking for Existence of a Key
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  • Defining Functions in Python
  • Function Arguments and Parameters
  • Return Values
  • Default Arguments and Keyword Arguments
  • Writing Simple Functions
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  • What Are Modules?
  • Importing Modules
  • Python Standard Library Modules
  • Writing Your Own Modules
  • Importing Modules from Packages
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  • Why Use Packages?
  • Creating a Package
  • Nested Packages
  • Using Packages in Large Projects
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  • Introduction to Inheritance
  • Creating Subclasses
  • Overriding Methods
  • Polymorphism in Python
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  • Introduction to OOP Concepts
  • Defining Classes and Creating Objects
  • Attributes and Methods
  • Constructors (__init__())
  • self Keyword
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  • Introduction to Error Handling
  • try, except Blocks
  • Catching and Handling Specific Exceptions
  • finally and else in Error Handling
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  • Opening and Reading Files (open(), read(), readline())
  • Writing to Files
  • Closing Files and Best Practices
  • Using with for File Handling
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  • What is an Iterator?
  • How Iterators Work
  • Creating a Custom Iterator
  • Built-in Iterators in Python
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  • What is a Generator?
  • How Generators Work
  • Generator Expressions
  • Advantages of Generators
  • Common use cases for Generators
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  • Anatomy of a Decorator
  • Applying multiple Decorators
  • Decorators with arguments
  • Real-world use cases for Decorators
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  • What is a Context Manager?
  • Creating a Custom Context Manager Using a Class
  • Creating a Context Manager Using contextlib
  • Nesting Context Managers
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  • What is Tkinter?
  • Creating Basic Windows and Dialogs
  • Adding Buttons, Labels, and Input Fields
  • Building a Simple Python GUI App
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  • Introduction to Unit Testing
  • Writing Basic Tests with unittest
  • Running and Interpreting Test Results
  • Test-Driven Development (TDD) Concepts
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  • What is Version Control?
  • Basic Git Commands for Python Developers
  • Working with GitHub
  • Pushing Python Projects to a Repository
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  • Introduction to NumPy
  • Creating Arrays and Basic Operations
  • Introduction to Pandas
  • DataFrames and Series
  • Basic Data Manipulation with Pandas
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  • Setting Up a Virtual Environment
  • Installing Packages Using pip
  • Managing Dependencies (requirements.txt)
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  • Introduction to APIs
  • Fetching Data from APIs Using requests
  • Introduction to JSON
  • Loading and Parsing JSON Data
  • Writing JSON Data
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  • Introduction to Regular Expressions
  • Basic Regex Patterns and Syntax
  • Using Python’s re Module
  • Finding, Replacing, and Splitting Strings with Regex
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  • Introduction to Databases
  • Using SQLite with Python (sqlite3 module)
  • Creating, Reading, Updating, and Deleting Records
  • Writing Simple Queries in SQL
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  • Automating Tasks with Python
  • Automating Web Browsers Using Selenium
  • Using os and shutil Modules for File and System Automation
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  • What is Web Scraping?
  • Using BeautifulSoup for Scraping Web Data
  • Handling HTTP Requests with requests
  • Saving and Processing Scraped Data
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  • Getting Started with Matplotlib
  • Customizing Plots
  • Working with Images
  • Integrating Matplotlib with Pandas
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  • What is Machine Learning?
  • Machine Learning Workflow
  • Building a Machine Learning Model with Scikit-learn
  • Common Machine Learning Algorithms
  • Model Evaluation Metrics

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