In this video i explain how to learn PYTHON in 30 days and also included roadmap with free resources below.
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PYTHON 30 DAYS ROADMAP:
Day 1-2: Introduction to Python
Get an overview of Python programming language and its features.
Familiarize yourself with the syntax and basic data types, such as strings, integers, and lists.
Watch the "Python for Everybody" course by Dr. Chuck (https://www.py4e.com/lessons) and/or "Introduction to Python" by Microsoft (https://www.edx.org/course/introducti....
Day 3-6: Control Structures
Learn about the control structures in Python, such as if/else statements, loops, and functions.
Practice solving problems using these control structures.
Watch "Python Data Structures" by University of Michigan (https://www.coursera.org/learn/python...) and/or "Python Basics for Data Science" by IBM (https://www.coursera.org/learn/python....
Day 7-10: Data Structures and Algorithms
Learn about the common data structures in Python, such as lists, dictionaries, and sets.
Learn about common algorithms such as searching and sorting algorithms.
Watch "Python for Data Science Essential Training" by LinkedIn Learning ( / python-for-data-science-essential-training ) and/or "Data Structures and Algorithms in Python" by University of California, San Diego (https://www.coursera.org/learn/data-s....
Day 11-14: Object-Oriented Programming
Learn about the basics of object-oriented programming in Python.
Understand classes, objects, inheritance, and polymorphism.
Watch "Object Oriented Programming in Python" by Microsoft (https://www.edx.org/course/object-ori...) and/or "Python OOP" by Corey Schafer ( • Python OOP Tutorial 1: Classes and Instances ).
Day 15-20: Web Development
Learn about web development using Python.
Understand concepts such as HTML, CSS, Flask, and Django.
Watch "Web Development with Flask" by freeCodeCamp ( • Python Flask Tutorial: Full-Featured Web A... ) and/or "Python and Django Full Stack Web Developer Bootcamp" by Udemy (https://www.udemy.com/course/python-a....
Day 21-25: Machine Learning
Learn about the basics of machine learning using Python.
Understand concepts such as regression, classification, clustering, and neural networks.
Watch "Machine Learning with Python" by IBM (https://www.coursera.org/learn/machin...) and/or "Python for Data Science and Machine Learning Bootcamp" by Jose Portilla (https://www.udemy.com/course/python-f....
Day 26-29: Advanced Python Concepts
Learn about advanced Python concepts, such as decorators, generators, and multithreading.
Understand how to optimize your Python code for performance.
Watch "Advanced Python" by Python Programmer ( • Видео ) and/or "Python Performance Optimization" by LinkedIn Learning ( / python-performance-optimization .
Day 30: Practice and Projects
Spend the last day practicing what you've learned.
Work on a project that showcases your Python skills.
Look for inspiration on platforms like GitHub or Kaggle and
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