Update README.md

Updated with exercises' description

README.md

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-# mpip_cc_smk_tutorial
+# Code Club: Gentle Introduction to Snakemake
+
+## Exercises
+
+### Exercise ex1:
+
+Write a Snakemake rule __generate_data__ using Python language to generate two vectors of random numbers of size 100 and save each vector to a separate text file: _x.txt_ and _y.txt_.
+
+  **Hint 1.** Import numpy library
+
+   ```{py}
+  import numpy as np
+  ```
+
+  **Hint 2.** Define the names of the output files before the rules
+
+  ```{py}
+  file_ids = ['x', 'y']
+  ```
+
+  **Hint 3.** Use special Snakemake function to create a list of output filenames from a pattern (for example, in the rule all)
+
+  ```{}
+  expand("data/{file}.txt", file = file_ids)
+  ```
+
+___
+
+### Exercise ex2:
+
+Write a snakemake rule **subset_data** using shell to create two subsets from the generated files, so that each new file will contain the value less or equal to **0.5**. Save each new generated vector to a separate text file: _x_subset.txt_ and _y_subset.txt_.
+
+  **Hint 1.** Use the ```awk``` shell command to subset the data and ```>``` to redirect the output:
+  ```{sh}
+  awk ‘$1 <= 0.5’ {input} > {output}
+  ```
+____
+
+### Exercise ex3:
+
+Write a snakemake rule using the custom R script (see scripts folder) to plot two vectors generated in the **ex2**. 
+
+____
+
+### Exercise ex4:
+
+Combine all rules into one pipeline, delete all before generated files and run the whole pipeline again specifying the final output.
+
+