GitHub - dscgcelt/Python: Python concepts explained in different notebooks

Python

Python concepts explained in different notebooks.

Fork these notebooks to make your own seperate copies. Option to fork is on the top right of your screen.

Go through them.. Those who don't have Anaconda installed (not telling you to install either for this purpose) open "colab.research.google.com" (Recommended) in your browser and upload these notebooks and go through them.

Try to go through all of the notebooks before this Wednesday( 03/07/2019). And then start doing coding practice from "codechef.com" or " hackerrank.com"

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
01 Exercises.ipynb		01 Exercises.ipynb
01 Variables, assignment and operator precedence.ipynb		01 Variables, assignment and operator precedence.ipynb
02 Control statements.ipynb		02 Control statements.ipynb
02 Exercises.ipynb		02 Exercises.ipynb
03 Exercises.ipynb		03 Exercises.ipynb
03 Types, type conversions and floating point arithmetic.ipynb		03 Types, type conversions and floating point arithmetic.ipynb
04 Exercises.ipynb		04 Exercises.ipynb
04 Functions.ipynb		04 Functions.ipynb
05 Exercises.ipynb		05 Exercises.ipynb
05 Library functions.ipynb		05 Library functions.ipynb
06 Data structures.ipynb		06 Data structures.ipynb
06 Exercises.ipynb		06 Exercises.ipynb
07 Exercises.ipynb		07 Exercises.ipynb
07 Numerical computation.ipynb		07 Numerical computation.ipynb
08 Exercises.ipynb		08 Exercises.ipynb
08 Plotting.ipynb		08 Plotting.ipynb
09 Error handling and testing.ipynb		09 Error handling and testing.ipynb
09 Exercises.ipynb		09 Exercises.ipynb
10 Algorithms.ipynb		10 Algorithms.ipynb
10 Exercises.ipynb		10 Exercises.ipynb
11 Complexity.ipynb		11 Complexity.ipynb
11 Exercises.ipynb		11 Exercises.ipynb
12 Exercises.ipynb		12 Exercises.ipynb
12 Object-oriented design.ipynb		12 Object-oriented design.ipynb
README.md		README.md

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