Python is MUST in 2025. This is how to START and MASTER it in 1 year:

0. Preliminary Steps Before deciding to start, ensure you do these ⬩Know your final goal ⬩Set a target for spending daily 1 hour minimum. ⬩Research about Python ecosystem (libraries, frameworks, code editors). P.S: This is my personal roadmap. I could spend 1 to 2 hours daily for learning and practicing during 2020. And it took me ~1 year to finish logically. It may differ from person to person.

➊ Start with a bang: Simple Data Types Schedule: 1st Month Effort: 1 to 2 hours daily + Normal practice ❯ Boolean ⬩bool ❯ Number ⬩int ⬩float ⬩complex ❯ String ⬩str ❯ Bytes ⬩bytes ⬩bytearray ⬩memoryview

➋ Working on Logic Schedule: 2nd Month Effort: 1 to 2 hours daily + Normal practice ❯ Operators ⬩Arithmetic ⬩Assignment ⬩Comparison ⬩Logical ⬩Precedence ⬩Associativity ❯ Conditionals ⬩If ⬩Else ⬩Elif ❯ Loops ⬩while ⬩for

➌ Modularize your Code Schedule: 3rd Month Effort: 2 hours daily + Moderate practice ❯ Function ⬩Definition ⬩Arguments ✧ Positional ✧ Keyword ⬩Return ⬩Execution ❯ Module ⬩Define ⬩Import ❯ Scope and Namespace

➍ Complex Data Types Schedule: 4th Month Effort: 2 hours daily + Moderate practice ⬩list ⬩tuple ⬩set ⬩frozenset ⬩dict

➎ Important Modules Schedule: 5th Month Effort: 2 hours daily + Moderate practice ⬩datetime ⬩csv ⬩json ⬩logging ⬩re ⬩os In addition, ❯ Files ❯ String Formatting ❯ Named Tuples

➏ Check your progress : Build small projects Schedule: 6th Month Effort: 2 hours daily w/ rigorous practice ⬘ Build 5 to 7 simple projects e.g., Scientific Calculator, File Manager, etc. ⬙ Revise previous topics. You can take reference from this: x.com/swapnakpanda/s…

➐ Important Python Concepts Schedule: 7th Month Effort: 2 hours daily + Moderate practice ⬩Iterators ⬩Generators ⬩Closure ⬩Decorators ⬩Exception Handling

➑ Object Oriented Programming Schedule: 8th Month Effort: 2 hours daily + Moderate practice ❯ Class ❯ Variable ❯ Method ⬩Static Method ⬩Magic Method ❯ Overloading ❯ Inheritance ❯ Property Decorators

➒ Check your progress Schedule: 9th Month Effort: 2 hours daily w/ rigorous practice ⬘ Build at least 3 medium-size projects using OOP (Examples: FIFA World Cup, COVID Tracker, etc.) ⬙ Revise all previous topics.

➓ Learn about the ecosystem Schedule: 10th Month Effort: 2 hours daily w/ simple practice ❯ IDEs ⬩PyCharm ⬩Jupyter Notebook ⬩Spyder ⬩Google Colab ❯ Packaging ⬩pip ⬩anaconda

➊➊ Deep Dive: Libraries and Frameworks Schedule: 11th & 12th Month Effort: 2 hours daily w/ simple practice ❯ Libraries ⬩numpy ⬩pandas ⬩matplotlib ⬩scipy ❯ Frameworks ⬩Django / Flask / FastAPI ⬩Streamlit ❯ Take it forward ⬩scikit-learn ⬩TensorFlow ⬩PyTorch Build at least one large-size project. In addition, if you could spend some time and learn DSA using Python, that'll also be beneficial from career's perspective.

4 FREE Books to learn Python 1. Think Python allendowney.github.io/ThinkPython/ 2. Introduction to Programming with Python aupress.ca/books/oer-2023… 3. Introduction to Python Programming assets.openstax.org/oscms-prodcms/… 4. Python Professional Notes goalkicker.com/PythonBook/

Best YouTube Playlists ❯ Python (Corey Schafer) youtube.com/playlist?list=… ❯ Python (MIT) youtube.com/playlist?list=… ❯ Python (Harvard) youtube.com/watch?v=nLRL_N… ❯ Python youtube.com/watch?v=ix9cRa… ❯ Django youtube.com/playlist?list=… ❯ Flask youtube.com/playlist?list=… ❯ FastAPI youtube.com/playlist?list=… ❯ Numpy youtube.com/playlist?list=… ❯ Pandas youtube.com/playlist?list=… ❯ Scikit-Learn youtube.com/playlist?list=… ❯ Data Science youtube.com/watch?v=LHBE6Q… ❯ Machine Learning youtube.com/watch?v=hDKCxe…

FREE Python Courses (+ Certificates) 1. Start with this kaggle.com/learn/python 2. Take any one of these ❯ openclassrooms.com/courses/690085… ❯ scaler.com/topics/course/… ❯ simplilearn.com/learn-python-b… 3. Then take this netacad.com/courses/python… 4. Attempt for this certification programming-25.mooc.fi Or, freecodecamp.org/learn/scientif… Or, cs50.harvard.edu/python/2022/ Or, learn.saylor.org/course/view.ph… Or, hackerrank.com/skills-verific… 5. Take it to the next level ❯ Django openclassrooms.com/courses/696719… ❯ Data Scrapping, NumPy, Pandas scaler.com/topics/course/… ❯ Data Analysis openclassrooms.com/courses/230473… ❯ Data Visualization kaggle.com/learn/data-vis… ❯ Data Science learn.saylor.org/course/view.ph… ❯ Machine Learning developers.google.com/machine-learni… ❯ Deep Learning kaggle.com/learn/intro-to…

@swapnakpanda @threadreaderapp unroll please

@DataInforms @swapnakpanda @DataInforms Namaste, please find the unroll here: threadreaderapp.com/thread/1964563… Enjoy :) 🤖