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docs: README freshness update — remove dead resource links #36

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10 changes: 1 addition & 9 deletions README.md
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Expand Up @@ -222,8 +222,7 @@ automation.
1. [Python for Everybody](https://www.py4e.com/)
2. [Automate the Boring Stuff with Python](https://automatetheboringstuff.com/)
3. [SQLBolt](https://sqlbolt.com/)
4. [Kaggle Learn](https://www.kaggle.com/learn)
5. [Data 8](https://www.data8.org/) for a university-style data science course
4. [Data 8](https://www.data8.org/) for a university-style data science course

Build: file renamer, CSV cleaner, spreadsheet report generator, API client, data
dashboard.
Expand Down Expand Up @@ -923,8 +922,6 @@ building useful projects.

- [CMU Database Group Courses](https://15445.courses.cs.cmu.edu/) - public
database systems courses. **Free materials**
- [Database System Concepts](https://www.db-book.com/) - classic database
textbook companion site. **Free materials**
- [PostgreSQL Tutorial](https://www.postgresqltutorial.com/) - practical
PostgreSQL. **Free**

Expand All @@ -934,8 +931,6 @@ building useful projects.
textbook companion resources. **Free materials**
- [OWASP Web Security Testing Guide](https://owasp.org/www-project-web-security-testing-guide/) -
practical web security testing. **Free**
- [PortSwigger Web Security Academy](https://portswigger.net/web-security) -
hands-on web security labs. **Free**
- [Cryptohack](https://cryptohack.org/) - cryptography practice. **Free**

### Compilers and Programming Languages
Expand Down Expand Up @@ -986,8 +981,6 @@ notice when they are wrong.
Python projects. **Free audit**
- [Stanford CS229 via SEE](https://see.stanford.edu/Course/CS229) - classic ML
lectures. **Free materials**
- [Kaggle Learn](https://www.kaggle.com/learn) - short practical data and ML
courses. **Free**

### Deep Learning

Expand Down Expand Up @@ -1056,7 +1049,6 @@ notice when they are wrong.

- [Data 8](https://www.data8.org/) - Berkeley foundations of data science.
**Free**
- [Kaggle Learn](https://www.kaggle.com/learn) - short practical courses.
**Free**
- [Microsoft Data Science for Beginners](https://github.com/microsoft/Data-Science-For-Beginners) -
10-week curriculum. **Free**
Expand Down
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