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Python Crash Course

Last Updated : 02 Jan, 2025
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If you are aware of programming languages and ready to unlock the power of Python, enter the world of programming with this free Python crash course. This crash course on Python is designed for beginners to master Python's fundamentals in record time!

Experienced Python developers developed this free online Python crash course, and the course is divided into self-contained modules that progressively teach Python programming to all Python enthusiasts.

In this free crash course on Python, we have discussed the basics of Python, like data types, data structures, and functions, to advanced Python concepts like constructors and regular expressions, this Python crash course covers all the important concepts that you need.

Python Crash Course: What You Will Learn?

Dive into the world of Python with our crash course on Python! Perfect for beginner programmers, this guide, created by our experts, takes you step-by-step through Python basics.

You'll learn to write the first Hello World code and understand fundamental and advanced Python concepts using easy-to-follow materials and examples. Boost your coding skills with our beginner-friendly Python crash course.

Now,this Python crash course is divided into 12 interactive lessons with interactive projects:

Table of Content

  • Chapter 1: Setting up the Environment
  • Chapter 2: Input and Output
  • Chapter 3: Python Syntax and Datatype
  • Chapter 4: Operators
  • Chapter 5: Conditional Statements
  • Chapter 6: Python Loops
  • Chapter 7: List, Tuple, Sets, Dictionary
  • Chapter 8: Functions in Python
  • Chapter 9: Python OOPs
  • Chapter 10: Python Collections
  • Chapter 11: Error and Exception Handling
  • Chapter 12: Advanced Python
  • Live Python Projects

Python Crash Course for Beginners 2024

This is a beginner-friendly Python crash course will help you learn to code in Python even if you haven't written a single line of code in your life. Easy tutorials with examples and Python projects will help beginners to learn things fast. The course is divided into 12 chapters, each chapter unlocking a new skill.

Here are the 12 chapters, that will cover all basic to advanced Python concepts. Easy and quick resources will help you learn what matters the most. These updated materials will help you unlock your potential and enter the world of Python programming.

Chapter 1: Setting up the Environment

So, before diving into the world of Python, let's setup all the basic requirements, that anyone need while learning Python programming language. So, in this section you will learn how to setup Python envoierment

  • Install Python
  • Python Hello World

Chapter 2: Input and Output

Once you have configured all the basic nessicity for Python crash course go through this section. Here you will explores essential methods for getting user input and displaying output. Learn how to prompt users for information and present results clearly, making your Python programs truly interactive.

  • print() function
  • input() function

Chapter 3: Python Syntax and Datatype

After understanding the Input and Putlook. This online Python crash course unravels its clear and concise syntax. Explore fundamental data types like numbers, text, and collections to structure your programs effectively. Get ready to build your Pythonic problem-solving skills!

  • Python Syntax
  • Python Datatype
    • Understanding variables
    • Data types ( Numbers , Strings , booleans )

Chapter 4: Operators

Master the building blocks of Python in this section explores operators, your essential tools for calculations, comparisons, and data manipulation. Learn how to combine variables and perform actions to unlock Python's power for efficient coding.

  • Arithmetic operators
  • Comparison operators
  • Logical operators

Chapter 5: Conditional Statements

In this section of Python crash course you will dives into conditional statements of Python. It powerful tools that let your code make decisions based on conditions. Unleash the potential to create interactive and dynamic Python applications.

  • If..else
  • Nested-if statement
  • Match Case Statement

Chapter 6: Python Loops

This section explores various loop constructs like for and while, enabling you to execute a block of code repeatedly until a certain condition is met. Loops empower you to process sequences of data efficiently and write concise Python programs.

  • For Loop
  • While Loop
  • Loop control statements ( break, continue, pass )

Chapter 7: List, Tuple, Sets, Dictionary

Organize your data with Python's versatile collections! This section explores lists, tuples, sets, and dictionaries, each offering unique ways to store and manage information. Master these structures to tackle various data organization tasks in your Python projects.

  • Python List
    • Creating lists
    • Accessing and modifying elements
    • List methods
  • Python Tuple
    • Creating Tuple
    • Accessing and modifying elements
    • Tuple methods
  • Python Dictionary
    • Creating Dictionary
    • Accessing and modifying elements
    • Dictionary Methods
  • Python Set
    • Creating Set
    • Accessing and modifying elements
    • Set Methods

Chapter 8: Functions in Python

This section explores how to define and use functions, reusable blocks of code that promote code organization and efficiency. Learn to create functions that take inputs, perform tasks, and return outputs, making your Python programs well-structured and easier to maintain.

  • Python Functions
    • Function syntax
    • Arguments and Return Values
    • Scope of variables
  • Python Map
  • Python Filter

Chapter 9: Python OOPs

This section delves into OOP concepts like classes and objects, which model real-world entities and their interactions. Unlock the power of code reusability, modularity, and maintainability for building complex Python applications.

  • Python Classes and Objects
  • Polymorphism
  • Inheritance
  • Abstract
  • Encapsulation

Chapter 10: Python Collections

This section explores collections like lists, dictionaries, and sets. Learn how to store, access, and manipulate your data in these versatile structures, forming the foundation for building powerful Python programs.

  • OrderedDict
  • Defaultdict
  • Counters
  • Heapq
  • Deque

Chapter 11: Error and Exception Handling

This section equips you with error and exception handling techniques. Learn to gracefully manage errors, prevent program crashes, and ensure your Python code remains robust and user-friendly. Master these techniques to write reliable and maintainable Python applications.

  • Exception handling
  • Try and except in Python
  • User defined Exception
  • Built-in Exception

Chapter 12: Advanced Python

This section delves into advanced topics like object-oriented programming, data structures, and libraries. Uncover powerful techniques for building complex applications, data analysis, and web development, expanding your Python mastery.

  • List Comprehension
  • RegEx
  • Python Lambda
  • Constructors

Live Python Projects

Here are some of the beginner-level Python Projects with source code that you can try and build. These projects are based on real-world scenarios and will provide more value to your CV. You can also check other projects and pick the one you like.

  • Word guessing game in Python
  • Hangman Game in Python
  • Simple Attendance Tracker using Python

Explore More Python Projects

Summary

This is a Python crash course, designed for beginners this crash course will help you learn fundamental Python, with some advanced concepts. After completing this crash course on Python you will have gained intermediate proficiency, and can work on multiple projects of data science and development.

Easy-to-understand tutorials are compiled in this crash course to provide a deep yet fast learning experience. You will quickly learn, practice, and use Python in this crash course.


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Python OOPs Concepts

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