Python is enhanced by a large set of scientific libraries that are being actively developed. This talk will present the following (in alphabetical order): - ipython - numpy - pandas - scipy - scikit-learn These libraries provide an efficient and functional environment for scientists. This statement is confirmed by the ever growing number of scientists that attend every python conference. In a second part of the talk, I'll be solving a basic machine learning example with these tools. At the end of the talk, you can start to solve your own mathematical problems with python!