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NumPy Essentials for Data Science - part-1 | One Dimensional Array
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Classroom Contents
Python Programming for Data Science
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- 1 Ideal Python environment setup for Data Science projects - Unix shell, Anaconda and Git.
- 2 Introduction to Jupyter Notebooks - Interface | Ipython Kernel | Sharing | GitHub
- 3 Python fundamentals for Data Science - Part 2 Dictionaries | Conditionals | Loops | Functions
- 4 Python fundamentals for Data Science - Part 1 | Data types | Strings | Lists
- 5 Python fundamentals for Data Science - Part 3 OOPS | Working with External Libraries & Modules
- 6 NumPy Essentials for Data Science - part-1 | One Dimensional Array
- 7 Speeding up your Data Analysis | Hacks & Libraries
