Course Outline

Introduction

  • Overview of Dask features and advantages for government applications
  • Parallel computing in Python for enhanced performance and efficiency

Getting Started

  • Installing Dask for government use
  • Dask libraries, components, and APIs relevant to public sector operations
  • Best practices and tips for effective implementation for government projects

Scaling NumPy, SciPy, and Pandas

  • Dask arrays examples and use cases for data-intensive government tasks
  • Chunks and blocked algorithms to optimize resource utilization
  • Overlapping computations to enhance efficiency in large-scale operations
  • SciPy stats and LinearOperator for advanced statistical analysis
  • Numpy slicing and assignment for flexible data manipulation
  • DataFrames and Pandas integration for seamless data handling

Dask Internals and Graphical UI

  • Supported interfaces for government systems integration
  • Scheduler and diagnostics tools for monitoring performance
  • Analyzing performance to identify bottlenecks and optimize workflows
  • Graph computation visualization for transparent operations

Optimizing and Deploying Dask

  • Setting up adaptive deployments for dynamic resource management
  • Connecting to remote data sources for enhanced data access
  • Debugging parallel programs to ensure reliability and accuracy
  • Deploying Dask clusters for scalable computing in government environments
  • Working with GPUs to accelerate computations for government applications
  • Deploying Dask on cloud environments for flexible and secure data processing

Troubleshooting

Summary and Next Steps

Requirements

  • Proficiency in data analysis for government applications
  • Demonstrated experience with Python programming

Audience

  • Data scientists for government agencies
  • Software engineers working in the public sector
 14 Hours

Number of participants


Price per participant

Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.

Testimonials (2)

Examples/exercices perfectly adapted to our domain

Luc - CS Group
Course - Scaling Data Analysis with Python and Dask

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

Upcoming Courses

Scaling Data Analysis with Python and Dask

2026-02-23 09:30
14 hours
Tampa, FL – Regus at Wells Fargo Center
$ 2703 (Online)
$ 3903 (Classroom)

Scaling Data Analysis with Python and Dask

2026-03-09 09:30
14 hours
Tampa, FL - Regus - One Urban Centre at Westshore
$ 2703 (Online)
$ 3903 (Classroom)

Scaling Data Analysis with Python and Dask

2026-03-23 09:30
14 hours
Raleigh, NC – Regus at Raleigh City Plaza
$ 2703 (Online)
$ 3903 (Classroom)

Scaling Data Analysis with Python and Dask

2026-04-06 09:30
14 hours
Richmond, VA – Regus at Two Paragon Place
$ 2703 (Online)
$ 3903 (Classroom)

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