ee1e8abd87
* feat(tools): add seed/solution restore script * chore(curriculum): remove empty sections' markers * chore(curriculum): add seed + solution to Chinese * chore: remove old formatter * fix: update getChallenges parse translated challenges separately, without reference to the source * chore(curriculum): add dashedName to English * chore(curriculum): add dashedName to Chinese * refactor: remove unused challenge property 'name' * fix: relax dashedName requirement * fix: stray tag Remove stray `pre` tag from challenge file. Signed-off-by: nhcarrigan <nhcarrigan@gmail.com> Co-authored-by: nhcarrigan <nhcarrigan@gmail.com>
46 lines
808 B
Markdown
46 lines
808 B
Markdown
---
|
|
id: 5e9a093a74c4063ca6f7c164
|
|
challengeType: 11
|
|
videoId: bJaqnTWQmb0
|
|
dashedName: parsing-html-and-saving-data
|
|
---
|
|
|
|
# --description--
|
|
|
|
More resources:
|
|
|
|
\- [Reading CSVs Notebook](https://notebooks.ai/rmotr-curriculum/rdp-reading-csv-and-txt-files-fb829f46)
|
|
|
|
\- [Reading SQL](https://notebooks.ai/rmotr-curriculum/rdp-reading-data-from-relational-databases-2a3a889b)
|
|
|
|
\- [Reading HTML](https://notebooks.ai/rmotr-curriculum/rdp-reading-html-tables-eb9cca73)
|
|
|
|
\- [Reading Excel files](https://notebooks.ai/rmotr-curriculum/rdp-reading-excel-files-a6b99973)
|
|
|
|
# --question--
|
|
|
|
## --text--
|
|
|
|
What Python library has the `.read_html()` method we can we use for parsing HTML documents and extracting tables?
|
|
|
|
## --answers--
|
|
|
|
BeautifierSoupy
|
|
|
|
---
|
|
|
|
WebReader
|
|
|
|
---
|
|
|
|
HTTP-master
|
|
|
|
---
|
|
|
|
Pandas
|
|
|
|
## --video-solution--
|
|
|
|
4
|
|
|