Finally, I created my list and I am sharing with you the roadmap which have been a lifesaver for me for being an excellent in Python Programming Language 👩💻
1- Excellent playlists to learn Data Analysis in Python
If you're looking to learn Data Analysis in Python, here are some excellent short & concise playlists to follow:
- NumPy
- Pandas
- Matplotlib
- Seaborn
- Plotly
+ Projects!
all the links from here below bit.ly/3u39XkT
2- Excellent Python books PDF - The best guide to learning python bit.ly/3AM8MtG
3-Most useful 10 python apis for your projects. bit.ly/3Y5Ortm
4- Excellent playlists to learn Data Analysis in Python bit.ly/3u39XkT
4- Top 16 Python Code to automate Projects For Beginners bit.ly/3XWaDWG
5- Top 22 Python Interview Questions and Answers bit.ly/3Y4eFMN
AutoViz performs automatic visualization of any dataset with a single line of Python code. Give it any input file (CSV, text, or JSON) of any size, and AutoViz will visualize it.
2- Numba
Numba translates Python functions to optimized machine code at runtime using the industry-standard LLVM compiler library. Numba-compiled numerical algorithms in Python can approach the speeds of C or FORTRAN.
• Now practice flashcards with your friends and see how much each of you can score.
You can do this while hanging out with your friends. Studying and hanging out will surely make it interesting for you.
Tip#2 : Gamification:
If you are a person who has no friends ( I hope that's not the case) or your friends are unwilling to study in a hangout, you can try to gamify your studies. One of the best ways to gamify your lessons is using "Quizlet."
It’s been proven that exercise can boost your memory and brain power. Research conducted by Dr. Chuck Hillman of the University of Illinois provides evidence that about 20 minutes exercise before an exam can improve performance.
2. Speak Out Loud Instead of Simply Reading
Although this may make you look a little crazy, give it a go! You will be surprised how much more you can remember when you’ve said it out loud. Warning: Don’t try this in a crowded library!