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 Transylvania or in NobleProg corporate training centers in Transylvania.
NobleProg -- Your Local Training Provider
Brasov, Calea Bucuresti Street
NobleProg Brasov, 13 Calea Bucuresti Street Sacele, Brasov, romania, 505600
The hotel is situated at the city entrance, being the best conference and training location in Brasov. Three conference rooms can accommodate up to 170 guests and can be modified for the company needs. These training rooms are equipped with the all necessities of a good conference or training.
Salile de training sunt situate central în Sibiu, pe principalul bulevard. Clădirea hotelului care le gazduieste este de factură clasicistă si reprezinta un punct de referinta arhitecturala a orasului.
Turnul Sfatului, Galeria de Arta Contemporana, sau parcurile Corneliu Coposu si Astra se află în imediata apropiere.
Pentru a ajunge aici de la gara, puteti merge pe jos 20min sau cu autobuzul 5 circa 10min
Locuri de parcare găsiți în parcarea supravegheata, sau pe străzile alăturate.
Cluj-Napoca, Pitești Street
NobleProg Cluj-Napoca, Strada Pitești 19, Cluj-Napoca, romania, 400124
ClujHUB has more rooms for events and training sessions, which can host from 4 to 80 people. These areas can be setup up to fit the companies need. The location is great, 10 minutes walk from the historical city center.
This instructor-led live training, delivered Transylvania (online or onsite), is designed for data scientists and software engineers who aim to utilize Dask within the Python ecosystem to build, scale, and analyze large datasets.
Upon completing this training, participants will be capable of:
Configuring the environment necessary to begin building big data processing workflows with Dask and Python.
Exploring the features, libraries, tools, and APIs offered by Dask.
Gaining insight into how Dask accelerates parallel computing capabilities in Python.
Learning techniques to scale the Python ecosystem (including NumPy, SciPy, and Pandas) using Dask.
Optimizing the Dask environment to ensure high performance when managing 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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