STEM / applied
Python programming · Undergraduate · CS / Programming
Topics
Data and automation
- NumPy arrays and vectorized computation (intro)
- Pandas DataFrames for tabular data (intro)
- Web requests with requests/httpx; REST clients
- Scripting workflows: CLI tools and scheduling
- Packaging projects with pyproject.toml (intro)
Applied Python
- Async I/O overview with asyncio (intro)
- Web backends with Flask/FastAPI (survey)
- Data visualization with matplotlib/seaborn (intro)
- Performance profiling and C extensions (survey)
- Security: secrets management and dependency scanning
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$60.00 · 60 min · Undergraduate · Online ($60/hr)
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