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Python Essentials- Mutable and immutable objects, Strings, date-time, Handling Exceptions

ipython- iPython Magic Commands, Input and Output, Errors and Debugging

Numpy- Lists, Arrays, Basics of NumPy Arrays, Computation on NumPy Arrays: Universal Functions, Aggregations: Min, Max, and Everything In Between, Computation on Arrays: Broadcasting, Comparisons, Masks, and Boolean Logic, Fancy Indexing, Sorting Arrays, Structured Data: NumPy's Structured Arrays

Pandas- Pandas Objects (Series Object, DataFrame Object), Data Indexing and Selection, Operating on Data in Pandas, Handling Missing Data, Hierarchical indexing

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Python Data Science Handbook by Oreilly

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