Boost your skills
No matter where your Python skills are currently, we can help you grow your knowledge: we offer live, in depth, training courses as well as an on demand e-learning program.
No matter where your Python skills are currently, we can help you grow your knowledge: we offer live, in depth, training courses as well as an on demand e-learning program.
Name
Dates
Price
Duration
$1600
Four Half-Days
May 2022 | June 2022 | July 2022 | August 2022 | September 2022 | October 2022 | |
---|---|---|---|---|---|---|
Scaling Python with Dask | June 21 August 1 September 12 | September 20 October 18 November 8 February 28 March 28 May 9 June 21 August 1 September 12 | September 20 October 18 November 8 February 28 March 28 May 9 June 21 August 1 September 12 | September 20 October 18 November 8 February 28 March 28 May 9 June 21 August 1 September 12 | September 20 October 18 November 8 February 28 March 28 May 9 June 21 August 1 September 12 | September 20 October 18 November 8 February 28 March 28 May 9 June 21 August 1 September 12 |
Duration: Four Half-Days $1600
If you’ve taken your data skills from zero to one with PyData (Pandas, Scikit-Learn, and friends) then this class will help you use larger data sets that won’t fit in memory and will help you distribute your workloads to accelerate your code with Dask.
Duration: One Day
This class introduces tools for GPU-accelerated computation — including CuPy, RAPIDS, and Numba — and their integration with Dask for usage on large datasets and multiple GPUs.
Duration: Half Day or Full Day
This class explores the best ways to leverage Dask within enterprise data architectures.
Duration: Half Day
This class module focuses on understanding and practical usage of the many graphical reports provided by the Dask dashboard: from real-time data transfer information to a full statistical profiler.
Duration: One Day
This class delivers a brief introduction to the Python language and ecosystem, as well as a look at how enterprise software development practices operate for Python applications.
Duration: Half Day or Full Day
This class focuses on leveraging Dask for Machine Learning in several different ways: Dask implements a number of distributed algorithms; interoperates with popular Python libraries, and integrates with several external projects (e.g., PyTorch).
Duration: One Day
This class delivers a brief introduction to the Python language and ecosystem, as well as a look at how enterprise software development practices operate for Python applications.
Duration: Half Day or Full Day
This class focuses on Dask Array and Xarray, two libraries to analyze large volumes of multidimensional data.
Duration: One Day
This class module focuses on using the Dask scheduler to empower custom parallel computation. Dask Delayed and Futures represent lightweight mechanisms for building and running custom task graphs, while staying within traditional Python coding patterns.
Duration: Half Day or Full Day
This class module focuses on Dask Bag, a functional-programming pattern for distributed computation over unstructured or heterogeneous data.
Duration: One Day
This class addresses the transition from working successfully on a single server or experimenting with a minimal cluster to achieving successful, reliable, repeatable use of larger Dask compute clusters.
Duration: Half Day or Full Day
This class module focuses on Dask Dataframe, a simple model for working with tabular data that may be too large to fit in memory or to process on a single machine.
We’ve developed a set of classes on TalkPython, available anytime.
“Probably, the best trainer I ever had and one of the most useful trainings I ever had.”