Grab the slides: slides.com/cheukting_ho/legend-data-intro

Every Monday 5pm UK time

Assuming you have your Python installed

If not, one way to start quickly is download Anaconda: https://www.anaconda.com/products/individual

 

Or you can follow my previous tutorial: https://cheuk.dev/videos/lvjwsugphsy/

to install Python

 

But you will need in install Jupyter and other library via pip

What will this series cover:

 

Data manipulation - pandas, loading data from database

Data visulisation - matplotlib, seaborn, bokeh etc

Data Science - static models, machine learning, scikit-learn

Other topics - testing for data science, data pipeline, profiling, neural network, NLP etc....

 

We will use Jupyter (notebook) as our main IDE

and here's the introduction

Jupyter

Project Jupyter is a non-profit, open-source project, born out of the IPython Project in 2014 as it evolved to support interactive data science and scientific computing across all programming languages. -- jupyter.org

To install Jupyter notebook

https://jupyter.org/install

How IPython and Jupyter Notebook work

https://jupyter.readthedocs.io/en/latest/architecture/how_jupyter_ipython_work.html

Let's have a tour

Jupyter magics

https://ipython.readthedocs.io/en/stable/interactive/magics.html

%pwd / %cd

%matplotlib

%timeit / %%timeit

%env

using !

%pip / %conda