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Added merge, join, groupby, hierarchical indexing to 03-data, updated readmes
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.gitignore

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*.ipynb_checkpoints
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*.Rhistory
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*.Rhistory
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__pycache__

01-Principles/README.md

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3. `os`
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4. `sys`
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Prerequisites:
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1. NONE
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## Basics of Python
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In the first section, you will cover:

02-Simulation/README.md

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4. `matplotlib`
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5. Other performance libraries (optional); `cython`, `numba`
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Prerequisites:
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1. Basic level of Python
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2. `itertools`
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## Basics to NumPy
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**NumPy** is a core library package for scientific computing in Python, whereby it provides a high-performance multi-dimensional array/matrix object, written in C with a Python header, and a host of functions for array creation, access, manipulation and deletion. For example arrays are created as:

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