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https://github.com/joannescode/regex-with-py

data-analysis python3 regex

Last synced: 4 days ago
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Host: GitHub
URL: https://github.com/joannescode/regex-with-py
Owner: joannescode
Created: 2024-09-08T14:38:29.000Z (2 months ago)
Default Branch: main
Last Pushed: 2024-09-08T15:10:05.000Z (2 months ago)
Last Synced: 2024-09-08T16:50:13.235Z (2 months ago)
Topics: data-analysis, python3, regex
Language: Jupyter Notebook
Homepage:
Size: 326 KB
Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

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README

        # regex-with-py

Regex is necessary for analysts and data extractors (RPA and Web Scraping), as it is very useful in cases where data is dirty, messy or "encrypted".

## Useful links for learning:

- [Learn Regex](https://github.com/ziishaned/learn-regex)

- [Regex Google Developers](https://developers.google.com/edu/python/regular-expressions?hl=pt-br)

## Query tables:

![Metacaracter](images/metacaracter.png)

![Joints](images/joints.png)

![Metacaracter](images/lookaround.png)

![Flags](images/flags.png)

## Tips for using regex:

- For JSON files, use re.findall, because it is necessary a visualization from complete JSON.

- Use marks in string if possible, this facility analysis and montage with regex, example: [+55 84 2060 8159], first condition and logic (+55), second (84), third (2060) and fourth (8159).

- Where existing multiple's data in scope, find patterns and separate in different rules.