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. Poitiers onsite live Dask trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Poitiers
NobleProg Poitiers, 21 rue Gaston Hulin, Poitiers, france, 86000
Training courses can be organised at our premises in Poitiers, at your premises, or remotely.
Training courses are given in...
Training courses can be organised at our premises in Poitiers, at your premises, or remotely.
Training courses are given in English or French. We organise a coordination meeting with the trainer and the participants to adapt the training program to your expectations. The courses consist of interactive discussions, theoretical parts and practical exercises.
The training is available as "live on-site training" or "live remote training". Live on-site training can be conducted locally at the client's premises in Poitiers or at the NobleProg corporate training centers in Poitiers.
Remote e-learning is conducted using an interactive desktop computer. NobleProg is the publisher of the DaDesktop software, which is presented in a video at https://www.dadesktop.com/
This instructor-led, live training in Poitiers (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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