Python Programming Training for Scientist, Engineers and Analyst - PYT400
This unique Python training course is specifically designed with scientist types in mind. In our 5 day Python for Scientist, Engineers and Analyst training course focuses on specifically on the Python, NumPy, SciPy, SymPy, and other specific skill areas scientists, engineers, statisticians and mathematicians need to work with crunching data, manipulating arrays, performing statistical calculations, and plotting results. This is truly Python training for scientific computing. This is a hands-on python programming class. Each training module is reinforced with informal practice and dedicated by lab exercises. Python for Scientist is offered as a live, instructor-led public or private online, onsite or classroom style instruction.
Since many of Firebox Trainings' Python training courses are delivered on-site at our clients' facilities for small groups, we can often tailor fit the course to meet specific learning objectives. Many of our clients have multiple locations. So, we offer this course as a live, instructor-led online training course for small groups. Additionally the Python Programming Training for Scientist, Engineers and Analyst is available as live, online public classes for individuals. Remember our online courses work for those with multiple locations and time zones, while saving money on the instructor's or students' travel expenses.
Take action today. Get a customized python training proposal and quote private training at your site or online.
Expected Outcomes of Python for Scientist Course
By the end of the course participants can expect to create and run basic programs, design and code modules and classes, implement and run unit tests, use benchmarks and profiling to speed up programs, process XML and JSON, Manipulate arrays with NumPy, gain a grasp of the diversity of subpackages that make up SciPy, use iPython notebooks for ad hoc calculations, plots and what-if?, manipulate images with PIL, and solve equations with SymPy
|Next public classes scheduled:|
|2014-01-27||Guaranteed to run|
|The Python Environment