Python Refresher Course

Welcome to the Python Refresher Course repository! 🎉 This course is designed to help you revisit and strengthen your understanding of Python programming. Whether you're a beginner or looking to brush up on your Python skills, this structured guide will walk you through Python's core concepts and some advanced topics.

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Table of Contents

1. Python Basics
2. Control Flow
3. Data Structures
4. Functions
5. Modules and Packages
6. File Handling
7. Exception Handling
8. Classes and Objects
9. Data Analysis with Python Libraries
10. Streamlit
11. Virtual Environments in Python

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1. Python Basics

• Introduction to Python Syntax: Learn about indentation, variables, and data types (integers, floats, strings, booleans).
• Operators: Understand arithmetic, comparison, logical, and assignment operators.
• Input and Output: Work with input() for user input and print() for displaying output.

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2. Control Flow

• Conditional Statements: Use if, elif, and else to control program flow.
• Loops:
  • for loop: Iterate over sequences like lists and dictionaries.
  • while loop: Execute statements as long as a condition is true.
• Loop Control Statements: Learn about break, continue, and pass.

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3. Data Structures

• Lists: Create lists, use list comprehensions, and perform list operations (indexing, slicing, appending).
• Tuples: Work with immutable sequences for fixed data storage.
• Dictionaries: Store key-value pairs and access data using keys.
• Sets: Use collections of unique items for membership testing and set operations.

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4. Functions

• Defining Functions: Create functions with def and use parameters and return values.
• Lambda Functions: Write concise, anonymous functions using lambda.
• Scope and Lifetime: Understand local vs. global variable scope.
• Argument Passing: Explore positional, keyword, default, and variable-length arguments.

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5. Modules and Packages

• Standard Library: Work with built-in modules like math, random, and datetime.
• Importing Modules: Import specific functions or entire modules.
• Creating and Using Packages: Organize reusable code into modules.

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6. File Handling

• Reading and Writing Files: Use open(), read, write, and close files.
• File Modes: Understand file modes like 'r', 'w', 'a', 'rb'.
• Context Managers: Efficiently handle files with with open().

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7. Exception Handling

• Basic Exception Handling: Use try, except, finally, and else for error management.
• Common Exceptions: Handle specific errors like ValueError, TypeError, FileNotFoundError.
• Raising Exceptions: Use raise to create custom exceptions.

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8. Classes and Objects

• Introduction to OOP: Learn about classes, objects, and OOP concepts.
• Creating Classes: Define classes and instantiate objects.
• Attributes and Methods: Use instance variables and define methods in classes.
• Inheritance: Implement inheritance to create subclasses.
• Polymorphism: Work with methods that have the same name in different classes.

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9. Data Analysis with Python Libraries

• NumPy: Work with arrays, array operations, and statistical functions.
• Pandas: Manipulate data using DataFrame and Series.
• Matplotlib: Create line plots, bar charts, and customize visualizations.
• Seaborn: Generate advanced visualizations like scatter plots and heatmaps.

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10. Streamlit

• Overview: Learn to build web apps for data visualization.
• Basic Components: Work with widgets like sliders, checkboxes, and buttons.
• Data Display: Display tables, charts, and interactive visualizations.
• Interactivity: Create basic interactive applications with user input widgets.

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11. Virtual Environments in Python

• What Are Virtual Environments?: Understand the purpose of isolated workspaces.
• Benefits:
  • Dependency isolation
  • Version control
  • Reproducibility
• Creating Virtual Environments:
  • Use conda or venv to set up virtual environments.

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Prerequisites

Ensure you have the following installed on your computer:

• Git
  🎥 Watch the tutorial here: How to install Git
• Python 3.x

How to Use This Repository

1. Clone the repository:

   git clone https://github.com/EniolaAdemola/python-refresher-course.git
   

2. Navigate to the project directory:

   cd python-refresher-course

🎥 Watch Git and GitHub tutorial here: Git & GitHub Tutorial for Beginners