Online or onsite, instructor-led live Dask training courses demonstrate through interactive hands-on practice how to use Dask with the Python ecosystem to build, scale, and analyze large datasets.
Dask 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 Dask training can be carried out locally on customer premises in Rennes or in NobleProg corporate training centers in Rennes.
NobleProg -- Your Local Training Provider
Rennes, City Center
Le Loft, 3, rue de Robien , Rennes, france, 35000
Subway Saint Anne
Parking Place Hoche
Bus 36 - 51 - 70 - 71 - 151ex
Training can also be organized on your premises in S...
Subway Saint Anne
Parking Place Hoche
Bus 36 - 51 - 70 - 71 - 151ex
Training can also be organized on your premises in Strasbourg or remotely. The 3rd option is to rent a room specifically for the duration of the course.
Training sessions can be given in English or French. For each session, we organize a coordination call with the trainer and participants to adapt the program to your expectations and level. Training includes theory, discussion, questions/answers and practical exercises.
Remote training is delivered via DaDesktop for training, a software package published by NobleProg that enables participants to have a workstation (VM) set up specifically for the training.
This instructor-led, live training in Rennes (online or onsite) is aimed at data scientists and software engineers who wish to use Dask with the Python ecosystem to build, scale, and analyze large datasets.
By the end of this training, participants will be able to:
Set up the environment to start building big data processing with Dask and Python.
Explore the features, libraries, tools, and APIs available in Dask.
Understand how Dask accelerates parallel computing in Python.
Learn how to scale the Python ecosystem (Numpy, SciPy, and Pandas) using Dask.
Optimize the Dask environment to maintain high performance in handling large datasets.
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Testimonials (1)
Examples/exercices perfectly adapted to our domain
Luc - CS Group
Course - Scaling Data Analysis with Python and Dask
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