The Pandas library is built on NumPy and provides easy-to-use data structures and data analysis tools for the Python programming language.
A one-dimensional labeled array a capable of holding any data type
A two-dimensional labeled data structure with columns of potentially different types
- Data representation
- Less writing and more work done
- An extensive set of features
- Efficiently handles large data
- Makes data flexible and customizable
- Made for Python
| Filename | Description | Raw File | Original Source | Other |
|---|---|---|---|---|
| chipotle.tsv | Online orders from the Chipotle restaurant chain | bit.ly/chiporders | The Upshot | Upshot article |
| drinks.csv | Alcohol consumption by country | bit.ly/drinksbycountry | FiveThirtyEight | FiveThirtyEight article |
| imdb_1000.csv | Top rated movies from IMDb | bit.ly/imdbratings | IMDb | Web scraping script |
| stocks.csv | Small dataset of stock prices | bit.ly/smallstocks | DataCamp | |
| titanic_test.csv | Testing set from Kaggle's Titanic competition | bit.ly/kaggletest | Kaggle | Data dictionary |
| titanic_train.csv | Training set from Kaggle's Titanic competition | bit.ly/kaggletrain | Kaggle | Data dictionary |
| u.user | Demographic information about MovieLens users | bit.ly/movieusers | GroupLens | Data dictionary |
| ufo.csv | Reports of UFO sightings from 1930-2000 | bit.ly/uforeports | National UFO Reporting Center | Web scraping script |
conda env create -f environment.ymlconda activate dsn-template
Run the following command in your terminal: jb build book/.
If you would like to work with a clean build, you can empty the build folder by running jb clean book/. If the jupyter execution is cached, this command will not delete the cached folder. To remove the build folder, you can run jb clean --all book/.
Run ghp-import -n -p -f book/_build/html