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This question is about what a programming specialist does.
SQL vs. Python
The difference between SQL and Python is important in programming, data, and technology, as they are both programming languages. While they both are specific languages, they do have critical differences.
Python is a high-level programming language often used to build applications and explore data. SQL is a high-performance language that is used to communicate with databases. They differ in use, integrity, and performance.
Key Takeaways:
| SQL | Python |
|---|---|
| SQL functionality is limited. Third-party libraries are not as extensive. This does lead to quicker performance for simple inquiries and aggregations. | Python has extensive functionality because it integrates with various other databases and libraries. This can lead to slower computations. |
| SQL is very beginner friendly, as there are not many concepts to learn to master SQL. | Python has easy-to-use syntax, but there are more concepts to learn, and that can make it more difficult to understand and master. |
| Developers use SQL to access and extract data from a database. SQL can combine data from multiple tables into a single database. | Developers use Python to analyze and manipulate data. They do this by running regression tests, time series tests, and other data processing computations. |
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