Create README.md

Signed-off-by: David Rotermund <54365609+davrot@users.noreply.github.com>

pandas/basics/README.md

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+# [Pandas](https://pandas.pydata.org/)
+{:.no_toc}
+
+<nav markdown="1" class="toc-class">
+* TOC
+{:toc}
+</nav>
+
+## The goal
+
+
+
+Questions to [David Rotermund](mailto:davrot@uni-bremen.de)
+
+```shell
+pip install pandas
+```
+
+## [Pandas](https://pandas.pydata.org/)
+
+
+The two most important data types of Pandas are:​
+* Series​
+* Data Frames
+
+> “Pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language.”​
+
+It is the basis for:
+* [scipy.stats​](https://docs.scipy.org/doc/scipy/reference/stats.html)
+> This module contains a large number of probability distributions, summary and frequency statistics, correlation functions and statistical tests, masked statistics, kernel density estimation, quasi-Monte Carlo functionality, and more. 
+* [Pingouin](https://pingouin-stats.org/build/html/index.html)
+> Pingouin is an open-source statistical package written in Python 3 and based mostly on Pandas and NumPy. 
+* [rPy2](https://rpy2.github.io/)
+> rpy2 is an interface to R running embedded in a Python process.
+
+## [Pandas.Series​](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.html#pandas-series)
+
+```python
+class pandas.Series(data=None, index=None, dtype=None, name=None, copy=None, fastpath=False)
+```
+
+> One-dimensional ndarray with axis labels (including time series).
+>
+> Labels need not be unique but must be a hashable type. The object supports both integer- and label-based indexing and provides a host of methods for performing operations involving the index. Statistical methods from ndarray have been overridden to automatically exclude missing data (currently represented as NaN).
+> 
+> Operations between Series (+, -, /, *, **) align values based on their associated index values– they need not be the same length. The result index will be the sorted union of the two indexes.
+