Learn Python programming in your free time following the 80/20 learning plan.
I know it can be hard to learn a new programming language. In this article, I want to share my plan with you. It’s a way to learn in eight weeks using videos, articles, and practice exercises. Exercises are very important because I think the best way to learn is by doing them.
Python I’ve created this learning plan for people who don’t have much free time. You only need about 30–50 minutes a day and consistency. In my plan, I use the 80/20 principle, which will help you learn the most important things first and improve the rest through practice. For those who read this article to the end, I have prepared a learning tracking sheet to help you track your progress. https://youtu.be/gsnOgtnWqH4?si=mJ-Pfm7Ele-7tsK5&embedable=true Subscribe on my YouTube channel Why You Should Learn Python Python is a very popular programming language. People use it for web development, data science, artificial intelligence, scientific computing, cybersecurity, and more. Python’s syntax is simple and easy to understand, which makes it a great choice for beginners. Its simplicity helps newcomers learn the language quickly. Another important thing is career opportunities. Learning Python can lead to many job options in software development, data analysis, AI, machine learning, and more. What is the 80/20 Principle The 80/20 principle, also called the Pareto Principle, is a rule that says 80% of the results come from 20% of the efforts. If you learn the 20% of Python concepts that are most important and used the most, you can get 80% of what you need to be good at it. This means learning the basic rules, control structures, types of data, and main libraries. Instead of trying to learn everything about Python, focus on the most important parts that help you the most. How to Learn Python in 8 Weeks - The Plan Week 1: Python Basics Day 1: Introduction to Python Watch Learn: Python Full Course for Beginners Read: The Python Tutorial - Python.org Install Python and write your first script: print "Hello, World!" Exercise: Day 2: Python Variables and Data Types Watch Learn: Python Variables and Data Types Read: Python Variables - W3Schools Practice creating variables of different data types: string, int, float, and bool. Exercise: Day 3: Basic Operators Watch Learn: Python Operators Read: Python Operators - W3Schools Create simple expressions using arithmetic, comparison, and logical operators. Exercise: Day 4: Python Strings Watch Learn: Python Strings and String Manipulation Read: Python Strings - W3Schools Practice with string concatenation, methods, and formatting. Exercise: Day 5: Control Flow - if, elif, else Watch Learn: Python If Else Statements Read: Python If...Else - W3Schools Write a program that uses if, elif, and else statements to handle multiple conditions. Exercise: Day 6: Loops in Python Watch Learn: Python Loops Read: Python While Loops - W3Schools Write a while loop that prints numbers from 1 to 10. Exercise: Day 7: Review and Practice Solve exercises on to review the week's concepts. Exercise: Exercism's Python Track Week 2: Data Structures Day 8: Lists Watch Learn: Python Lists Read: Python Lists - W3Schools Create a list, add items, remove items, and iterate over the list. Exercise: Day 9: Dictionaries Watch Learn: Python Dictionaries Read: Python Dictionaries - W3Schools Create a dictionary, add key-value pairs, access values, and use a loop to print all keys. Exercise: Day 10: Tuples Watch Learn: Python Tuples Read: Python Tuples - W3Schools Create a tuple, access its elements, and understand the concept of immutability. Exercise: Day 11: Sets Watch Learn: Python Sets Read: Python Sets - W3Schools Create a set, add and remove items, and perform basic set operations . Exercise: Day 12: Functions Watch Learn: Python Functions Read: Python Functions - W3Schools Write a function that takes arguments and returns a value; call the function to test it. Exercise: Day 13: Modules Watch Learn: Python Modules Read: Python Modules - W3Schools Import a module and use a function from it . Exercise: math Day 14-15: Review and Practice Tackle more complex exercises on . Exercise: HackerRank Python Practice Week 3: Advanced Data Structures and Comprehensions Day 16: Dictionary Comprehensions Watch Learn: Python Dictionary Comprehension Tutorial Read: Dictionary Comprehensions in Python - DataCamp Create dictionary comprehensions to transform and filter data. Exercise: Day 17: Set Comprehensions Explore set comprehensions through Learn: Python Set Comprehensions Practice creating sets using set comprehensions with various conditions. Exercise: Day 18: File Handling Watch Learn: Python File Handling Read: Python File Handling - W3Schools Practice opening, reading, writing, and appending to files in Python. Exercise: Day 19: Working with JSON in Python Watch Learn: Python JSON Read: Python JSON - W3Schools Practice parsing JSON and converting Python objects to JSON format. Exercise: Day 20: Review and Practice Complete exercises related to this week's topics on platforms like or . Exercise: Exercism HackerRank Week 4: Functions and Error Handling Day 21: Functions Deep Dive Watch Learn: Python Functions - Core Programming Read: Python Functions - Real Python Write functions with different types of parameters, default values, and keyword arguments. Exercise: Day 22: Lambda Functions Watch Learn: Python Lambda Functions Read: Python Lambda - W3Schools Practice creating simple lambda functions for quick tasks. Exercise: Day 23: Error and Exception Handling Watch Learn: Python Exception Handling Read: Python Try Except - W3Schools Write code blocks using try, except, else, and finally to handle errors gracefully. Exercise: Day 24: Modules and Packages Watch Learn: Python Modules and Packages Read: Python Modules - Real Python Create a simple module and import it into another Python script. Exercise: Day 25-26: Intermediate Projects Start a small project to apply the concepts learned. This could be a simple data analysis using external libraries or a small web scraping script. Activity: Day 27: Review and Practice Review the week's learning and practice any concepts you find challenging. Utilize coding challenge platforms for more practice. Exercise: Week 5: Diving into Data Science with Python Learn to manipulate and visualize data using Python. Day 28-29: Get started with pandas by reading and experimenting with data frames. Learn & Practice: 10 Minutes to pandas Day 30-31: Explore data visualization with matplotlib by following the . Learn & Practice: Matplotlib Pyplot tutorial Day 32-33: Work on a data analysis project. Use a dataset from and perform data cleaning, manipulation, and visualization. Project: Kaggle Week 6: Web Development with Flask Build a basic web application using Flask. Day 34-35: Watch and set up a basic Flask project. Learn: Python Flask for Beginners Day 36-37: Expand your Flask app by adding new routes and views. Follow tutorials from the . Learn & Practice: Flask documentation Day 38-39: Create a simple web application like a to-do list or a personal diary app where users can add, delete, or edit entries. Project: Week 7: Object-Oriented Programming Deepen your understanding of OOP in Python. Day 40-42: Dive into OOP concepts with . Practice by creating classes, objects, inheritance, and polymorphism. Learn & Practice: Real Python's OOP tutorial Day 43-44: Develop a simple command-line application using OOP principles. Project: Day 46: Go over the concepts and code from the week to consolidate your learning. Review: Week 8: Final Project and Exploration Apply all the concepts learned in a comprehensive project. Day 47-51: Start a project that interests you. It could be a more advanced data analysis project, a more complex web application, or an automation script. Plan, design, code, and test your project. Project: Day 52-53: Review your project, add documentation, and consider any additional features or improvements. Explore any libraries or frameworks that could enhance your project. Review & Extend: By the end of these eight weeks, you should have a solid foundation in Python and practical experience with a range of applications. My Personal Tips to Learn Python Effectively Use techniques like the Pomodoro Technique to maintain focus and avoid burnout. Engage with Python communities on platforms like Stack Overflow or Reddit's r/learnpython to get insights Consistency is Key. Even if it's just 30 minutes, do it daily without fail. Practice every day Learning Tracking Sheet You can download a tracking sheet from this link. It will help you track your progress and stay motivated. Download Learning Tracking Sheet That’s it! :) If you like this article, please don’t forget to share it with your friends! Thanks! Also published . here
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