[13 | 40] DAYS ON YOUR FAVORITE PYTHON LIBRARY [PANDAS]
Best Way to Learn Numpy and Pandas
Day 13: I will share with you my secret and the secret of french biodiversity related to Brazilian Amazon biodiversity.
After 12 days of challenge, I think it is important to share a small but well-detailed report about my journey with the pandas library in Python, usign a real use case.
A brief introduction to pandas for those who have dropdown to this article and that don’t follow my 40 day challenge.
Pandas is a popular open-source data manipulation and analysis library for Python. It provides data structures and functions needed to work with structured data seamlessly. This directly relationship with Numpy library make Pandas the Most suitable library for Data Science.
Why Numpy is important for pandas library in Python?
NumPy provides highly optimized functions for numerical operations, which are utilized by pandas to perform data manipulation tasks more efficiently. This results in faster computation times, especially for large datasets.
Also, Pandas’ primary data structures, Series and DataFrame, are built on top of…
