Saturday 2:40 p.m.–3:25 p.m.
Introduction to scientific programming in python (en)
- Audience level:
- Libraries and Extensions / ライブラリや拡張
Python is enhanced by a large set of scientific libraries that are being actively developed. These libraries, such as ipython, numpy, pandas, scipy, scikit-learn, provide an efficient and functional environment to solve scientific problems. The aim of this talk is to describe the most popular tools followed by a demonstration of these tools.
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!