Online or onsite, instructor-led live SciPy training courses demonstrate through interactive hands-on practice how to use SciPy to create advanced scientific computing functions with Python.
SciPy training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live SciPy trainings in Federal District can be carried out locally on customer premises or in NobleProg corporate training centers.
SciPy is also known as Scientific Python.
NobleProg -- Your Local Training Provider
Mexico City - Mariano Escobedo
Mariano Escobedo 510, Ciudad de Mexico, mexico, 11590
The Mexico City Mariano Escobedo Center is on the 12th floor and penthouse of a tall, slimline commercial building with bold ...
The Mexico City Mariano Escobedo Center is on the 12th floor and penthouse of a tall, slimline commercial building with bold vertical detailing giving it instant kerb-appeal.
Mexico City - Cygni Santa Fe
Alfonso Nápoles Gandara 50, Mexico City, mexico, 1210
The Mexico City Cygni Santa Fé Center is on the top floor of a four-story building that is one of Mexico City's foremost bus...
The Mexico City Cygni Santa Fé Center is on the top floor of a four-story building that is one of Mexico City's foremost business addresses. It has landscaped grounds and an imposing entrance, and the center enjoys incredible views across to the high-rise skyline of Santa Fé, a leading district for financial services businesses.
This instructor-led, live training in Federal District (online or onsite) is aimed at developers who wish to use SciPy to create advanced scientific computing functions with Python.
By the end of this training, participants will be able to:
Set up the necessary development environment to start creating scientific computing functions.
Get the full benefit of SciPy features by performing practical examples of complex operations.
Implement and optimize mathematical algorithms and functions to solve scientific problems.
Design data structures and interpolation methods for visualization, processing, and analysis.
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