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. Barranquilla onsite live Dask trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Barranquilla - Buro 51
Calle 94 #51B-43, Barranquilla, colombia
Buro 51 is a first class mix use complex which incorporates a class “A” office building and a 4 star Movich Hotel. Ground floor offers a variety of retail shops and amenities, and the building offeres unobstructed views of Barranquilla.
The center is located in Buenavista Trade Area, which is the most upscale and exclusive of the city with easy access to main highways to the international airport and port. Offers:
Fully equipped offices, ready to start working
Meeting rooms and videoconferencing studio
Regus IT high speed internet access
Administrative support on request
Major transport link - City/town center
Break-out areas
Elevate your presence with distinction at this prestigious office space situated in an enviable locale nestled between downtown and the Magdalena River. Green Towers boasts proximity to local enterprises and major banks, with convenient access to bus stops for seamless commuting.
This instructor-led, live training in Barranquilla (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)
The fact of having more practical exercises using more similar data to what we use in our projects (satellite images in raster format)
Matthieu - CS Group
Course - Scaling Data Analysis with Python and Dask
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