Having Fun with Data and Pandas
In this virtual walkthrough we'll use the Python "pandas" library to analyse taxi trip records.
Links to materials mentioned throughout:
Notebook for the workshop
https://colab.research.google.com/dri...
"Data Science Foundations: Python Scientific Stack" video course by Miki
/ data-science-foundations-python-scientific...
Pandas user guide
https://pandas.pydata.org/docs/user_g...
Start with https://pandas.pydata.org/docs/user_g...
Reading from databases: https://pandas.pydata.org/pandas-docs...
"Python for Data Analysis" book
https://www.amazon.com/gp/product/149...
"Data Science Handbook" by Jake VanderPlan dives into more topics in data science
https://jakevdp.github.io/PythonDataS...
Google Collaboratory lets you run notebooks in the cloud, no need to install anything
https://colab.research.google.com/
Anaconda is a scientific Python distribution that comes with many popular data science packages, including Pandas and Jupyter Lab
https://www.anaconda.com/products/ind...
This videos uses the NYC Taxi dataset
https://www1.nyc.gov/site/tlc/about/t...
Kaggle is a site for data science competitions and holds a lot of free date to play with
https://www.kaggle.com/
Numba is a JIT compiler and easiest to get speed
https://numba.pydata.org/
Cython is used by Pandas a lot
https://cython.org/
Follow Miki online:
353solutions ➡️ https://www.353solutions.com/
Twitter ➡️ / tebeka
LinkedIn Learning ➡️ / miki-tebeka
Miki's books
Pandas Brain Teasers ➡️ https://pragprog.com/titles/d-pandas/...
Python Brain Teasers ➡️ https://pragprog.com/titles/d-pybrain...
Go Brain Teasers ➡️ https://pragprog.com/titles/d-gobrain...
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