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. Geneva onsite live SciPy trainings 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
Geneva
Rue de Malatrex 14, Geneva, Siwtzerland, 1201
Overview
Our training facilities are located at Rue de Malatrex 14 in Geneva. Located on the fo...
Overview
Our training facilities are located at Rue de Malatrex 14 in Geneva. Located on the fourth floor of a well-kept office building, our premises offer enough space for successful training courses in the heart of Geneva, within walking distance of the Rhone.
Directions
The NobleProg training facilities are located in the heart of downtown Geneva, the centre of this vibrant city.
Parking
Cars can be parked in the area along Rue de Malatrex and the nearby side streets, even if you may have to search for a moment. There is no charge for parking.
Local Amenities
Around the Rue de Malatrex there are numerous small restaurants and shops where you can eat well and cheaply. There are also some hotels close by if you need accommodation for the training.
This instructor-led, live training in Geneva (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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