Day-1

Day 1 of #100DaysofCode

Task

• Learn Numpy
• Learn Pandas

Resources

• Numpy Tutorial (Iterate numpy array using nditer | numpy nditer) by Codebasics YT channel: (Video link)
• Python Pandas Tutorial Playlist by Corey Schafer YT channel: (Playlist link)
• Stack Overflow Developer Survey 2021 (link)

Software used

• Jupyter Notebook
• Python 3.10.2
• Numpy 1.22.4
• pandas 1.4.2

My Notebooks

• Numpy-tutorial.ipynb
• Pandas_tutorial_part_1.ipynb
• Pandas_tutorial_part_2.ipynb
• Pandas_tutorial_part_3.ipynb
• Pandas_tutorial_part_4.ipynb

Topics I have learnt

1. Splitting arrays in numpy
2. Iterating arrays efficiently using np.nditer()
3. Pandas Intro
4. DataFrame Basics
5. Series Basics
6. Reading Data from CSV file
7. Selecting rows & columns using loc & iloc
8. Custom Indexing
9. Sorting Data based on exercises
10. Condition Filtering on rows and columns

Conclusion:

Pandas is a huge library, and good for data analysis. So many topics of numpy needed to learn pandas like slicing is same as Numpy.