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“Data science” is just about as broad of a term as they come. It may be easiest to describe what it is by listing its more concrete components: Data exploration & analysis. Included here: Pandas; NumPy; SciPy; a helping hand from Python's Standard Library.

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Name		Name	Last commit message	Last commit date
Latest commit History 44 Commits
.gitignore		.gitignore
01-NumPy Arrays.ipynb		01-NumPy Arrays.ipynb
02-Numpy Indexing and Selection (2).ipynb		02-Numpy Indexing and Selection (2).ipynb
03-Numpy Operations (3).ipynb		03-Numpy Operations (3).ipynb
04-Numpy Exercises (1).ipynb		04-Numpy Exercises (1).ipynb
CPWorkshop.ipynb		CPWorkshop.ipynb
Chapter-1.ipynb		Chapter-1.ipynb
HelloWorld.ipynb		HelloWorld.ipynb
LICENSE		LICENSE
NumPy.ipynb		NumPy.ipynb
Pandas.ipynb		Pandas.ipynb
Pract.ipynb		Pract.ipynb
Python Exercises.ipynb		Python Exercises.ipynb
README.md		README.md