A 10-lecture introductory course on data processing & visualization with numpy, pandas, matplotlib, and plotly.
The lectures are jupyter notebooks to be presented as slides using the rise extension. Each lecture is accompanied by exercises with solutions.
| Number | Folder | Content |
|---|---|---|
| 01 | 01_jupyter | Introduction to Jupyter Notebook and python recap |
| 02 | 02_numpy | Introduction to numpy |
| 03 | 03_pandas_intro | Introduction to pandas |
| 04 | 04_plotting_base | Basic visualizations with matplotlib |
| 05 | 05_pandas_processing | Basic processing and cleaning with pandas |
| 06 | 06_pandas_advanced | More processing with pandas: groupby, pivot_table |
| 07 | 07_plotting_advanced | More visualizations with plotly express |
| 08 | 08_example | Two examples: video-game sales & global terrorism |
| 09 | 09_pandas_data_wrangling | Data wrangling with pandas: melt, pivot, concatenate, join |
| 10 | 10_pandas_timeseries | Time series: processing and visualization |
A recent installation of Python (>=3.6) with numpy, scipy, pandas, matplotlib, plotly, jupyter and rise is required.
- To install all the packages, type in a terminal:
$ pip install numpy scipy pandas matplotlib jupyter
$ pip install rise
$ pip install plotly
- Open a terminal in the folder where you have downloaded the slides
- Start jupyter:
$ jupyter notebook
- Open the slides with jupyter.
- Click on the rise icon to go in presentation mode.