In the past few years, Python has emerged as a solid platform for data science.   Couple a mature, clean and expressive language with powerful, fully-featured libraries for data wrangling and machine learning, and you’re set up for maximum productivity.  Easily ingest your data from practically anywhere using one of Python’s thousands of free libraries.  Effortlessly turn hundreds of convoluted lines of obscure model code into just a few lines of near-English prose.  Add a few annotations and get maximum performance without drowning in pools of unnecessary boilerplate code.  Present your results in beautiful living notebooks that seamlessly mix text, code and graphs.  Whether you do all your modeling in R, you’ve written nothing but Matlab since university, or you swear by C# or (gasp!) Java, discovering Python will be a wonderful experience.

In detail, we plan to cover the following points:

• Quick history of Python and typical use cases
• Key advantages and disadvantages of Python for data science
• Ways to run python and write code
• Quick tour of language
• Showcase of useful language packages for data science: NumPy, Matplotlib, SciPy, Pandas, Scikit-learn, PySpark, PyHive.  Accessing RDBMSs
• Writing efficient Python: Cython, Numba, SWIG
• Pointers for further learning

Registration: http://www.meetup.com/Open-Data-Innovation-Training-Hub/events/225090704/

The course will be taught by Patrick Varilly of Data Minded.  Patrick fell in love with Python four years ago as a theoretical chemistry post-doc at Cambridge and has never looked back.  He has contributed to SciPy and used Python in wide-ranging settings, from scientific libraries to model proof-of-concepts to data backend pipelines.

Pizza will be provided courtesy of Data Minded.

Patrick is a co-worker at the European Data Innovation Hub. He has coached the Apache Spark MOOCs this summer and will be teaching a full series of Python course this fall.

More #datascience trainings in Brussels:

Why don’t you join one of our  #datascience trainings in order to sharpen your skills.

Special rates apply if you are a job seeker.

Here are some training highlights for the coming months:

• Jan Wijffels has scheduled a full R course in September.
• Geert Verstaeten is repeating his executive class on predictive analytics on Oct 1st.
• Corina Ciechanow is starting a series for executives called Small Talk on Big Data
• Rik Van Bruggen is organizing a full day of Graphs training with Neo4j.
• Elie Jesuran is organizing a workshop about building an intelligent twitterbot.
• Andy Petrella is organizing a 3 day Apache Spark course.
• Fabien Janssens is doing a hands-on workshop on Elasticsearch.
• Frank Vanden Berghen is will explain the ins and outs of Timi and Anatella in October.
• Patrick Varilly will be teaching a full series of Python course this fall.

Check out the full agenda here.

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