Published 6/2024
Created by Mubeen Ali Nasir
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 110 Lectures ( 6h 44m ) | Size: 1.41 GB
Achieve Python mastery, beginning with the fundamentals and culminating in crafting your own applications and games.100%
What you’ll learn:
The Python complete course
The Python programming language
The Python coding
Introduction in Python
Your First Programme in Python
Veriabel a Basic Overview in Python
Operators Basic in Python
Python Statements
Loop In Python
Home Assignment 1 in Python
Play with Numbers in Python
Play with String in Python
Play With List in Python
Next complete course in video python
Requirements:
mobile
pc
Laptop
LCD
TV
Description:
Python is a versatile and powerful programming language that is widely used for web development, data analysis, artificial intelligence, and more. Whether you’re a beginner or have some programming experience, this comprehensive tutorial will guide you through the fundamentals of Python, step by step.*1. Introduction to Python:* - What is Python? - Why Python? - Installing Python *2. Basic Syntax:* - Hello World Program - Variables and Data Types - Basic Arithmetic Operations *3. Control Flow:* - Conditional Statements (if, elif, else) - Loops (for, while) - Break and Continue Statements *4. Data Structures:* - Lists - Tuples - Dictionaries - Sets *5. Functions:* - Defining Functions - Function Parameters - Return Statement - Lambda Functions *6. Object-Oriented Programming (OOP):* - Classes and Objects - Inheritance - Encapsulation - Polymorphism *7. File Handling:* - Opening and Reading Files - Writing to Files - File Modes *8. Exception Handling:* - Try-Except Blocks - Handling Specific Exceptions - Finally Block *9. Modules and Packages:* - Importing Modules - Creating Modules - Using Packages *10. Python Standard Library:* - Exploring Commonly Used Modules (e.g., os, sys, math)*11. Working with External Libraries:* - Installing External Libraries (pip) - Using External Libraries (e.g., NumPy, Pandas) *12. Introduction to Web Development with Python:* - Basics of Flask or Django *13. Introduction to Data Analysis with Python:* - Data Manipulation with Pandas - Data Visualization with Matplotlib or Seaborn *14. Introduction to Machine Learning with Python:* - Basics of Scikit-Learn - Building and Evaluating Machine Learning Models *15. Best Practices and Tips:* - Writing Clean and Readable Code - Code Documentation - Debugging TechniquesBy following this step-by-step tutorial, you’ll gain a solid understanding of Python programming concepts and be well-equipped to tackle various projects and challenges. So, let’s dive into the exciting world of Python programming!
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