NP URI: www.nobleprog.co.ke/cc/dask Undefined array key 0 /apps/hitra7/npfrontend/nptemplates/default.php:137 Array ( [0] => Array ( [file] => /apps/hitra7/npfrontend/nptemplates/default.php [line] => 137 [function] => {closure:/apps/hitra7/npfrontend/index.php:5} [args] => Array ( [0] => 2 [1] => Undefined array key 0 [2] => /apps/hitra7/npfrontend/nptemplates/default.php [3] => 137 ) ) [1] => Array ( [file] => /apps/hitra7/npfrontend/modules/course/course.php [line] => 141 [args] => Array ( [0] => /apps/hitra7/npfrontend/nptemplates/default.php ) [function] => require_once ) [2] => Array ( [file] => /apps/hitra7/npfrontend/core/routes.php [line] => 16 [function] => course_menu_callback [args] => Array ( [0] => /cc/dask ) ) [3] => Array ( [file] => /apps/hitra7/npfrontend/__index.php [line] => 94 [args] => Array ( [0] => /apps/hitra7/npfrontend/core/routes.php ) [function] => require_once ) [4] => Array ( [file] => /apps/hitra7/npfrontend/index.php [line] => 17 [args] => Array ( [0] => /apps/hitra7/npfrontend/__index.php ) [function] => include_once ) [5] => Array ( [file] => /apps/hitra7/index.php [line] => 65 [args] => Array ( [0] => /apps/hitra7/npfrontend/index.php ) [function] => include_once ) ) NP URI: www.nobleprog.co.ke/cc/dask Undefined array key 1 /apps/hitra7/npfrontend/nptemplates/default.php:137 Array ( [0] => Array ( [file] => /apps/hitra7/npfrontend/nptemplates/default.php [line] => 137 [function] => {closure:/apps/hitra7/npfrontend/index.php:5} [args] => Array ( [0] => 2 [1] => Undefined array key 1 [2] => /apps/hitra7/npfrontend/nptemplates/default.php [3] => 137 ) ) [1] => Array ( [file] => /apps/hitra7/npfrontend/modules/course/course.php [line] => 141 [args] => Array ( [0] => /apps/hitra7/npfrontend/nptemplates/default.php ) [function] => require_once ) [2] => Array ( [file] => /apps/hitra7/npfrontend/core/routes.php [line] => 16 [function] => course_menu_callback [args] => Array ( [0] => /cc/dask ) ) [3] => Array ( [file] => /apps/hitra7/npfrontend/__index.php [line] => 94 [args] => Array ( [0] => /apps/hitra7/npfrontend/core/routes.php ) [function] => require_once ) [4] => Array ( [file] => /apps/hitra7/npfrontend/index.php [line] => 17 [args] => Array ( [0] => /apps/hitra7/npfrontend/__index.php ) [function] => include_once ) [5] => Array ( [file] => /apps/hitra7/index.php [line] => 65 [args] => Array ( [0] => /apps/hitra7/npfrontend/index.php ) [function] => include_once ) ) NP URI: www.nobleprog.co.ke/cc/dask Undefined array key 2 /apps/hitra7/npfrontend/nptemplates/default.php:137 Array ( [0] => Array ( [file] => /apps/hitra7/npfrontend/nptemplates/default.php [line] => 137 [function] => {closure:/apps/hitra7/npfrontend/index.php:5} [args] => Array ( [0] => 2 [1] => Undefined array key 2 [2] => /apps/hitra7/npfrontend/nptemplates/default.php [3] => 137 ) ) [1] => Array ( [file] => /apps/hitra7/npfrontend/modules/course/course.php [line] => 141 [args] => Array ( [0] => /apps/hitra7/npfrontend/nptemplates/default.php ) [function] => require_once ) [2] => Array ( [file] => /apps/hitra7/npfrontend/core/routes.php [line] => 16 [function] => course_menu_callback [args] => Array ( [0] => /cc/dask ) ) [3] => Array ( [file] => /apps/hitra7/npfrontend/__index.php [line] => 94 [args] => Array ( [0] => /apps/hitra7/npfrontend/core/routes.php ) [function] => require_once ) [4] => Array ( [file] => /apps/hitra7/npfrontend/index.php [line] => 17 [args] => Array ( [0] => /apps/hitra7/npfrontend/__index.php ) [function] => include_once ) [5] => Array ( [file] => /apps/hitra7/index.php [line] => 65 [args] => Array ( [0] => /apps/hitra7/npfrontend/index.php ) [function] => include_once ) )

Course Outline

Introduction

  • Overview of Dask features and advantages
  • Parallel computing in Python

Getting Started

  • Installing Dask
  • Dask libraries, components, and APIs
  • Best practices and tips

Scaling NumPy, SciPy, and Pandas

  • Dask arrays examples and use cases
  • Chunks and blocked algorithms
  • Overlapping computations
  • SciPy stats and LinearOperator
  • Numpy slicing and assignment
  • DataFrames and Pandas

Dask Internals and Graphical UI

  • Supported interfaces
  • Scheduler and diagnostics
  • Analyzing performance
  • Graph computation

Optimizing and Deploying Dask

  • Setting up adaptive deployments
  • Connecting to remote data
  • Debugging parallel programs
  • Deploying Dask clusters
  • Working with GPUs
  • Deploying Dask on cloud environments

Troubleshooting

Summary and Next Steps

Requirements

  • Experience with data analysis
  • Python programming experience

Audience

  • Data scientists
  • Software engineers
 14 Hours

Need help picking the right course?

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

Related Courses

Advanced Data Analysis with TIBCO Spotfire

 14 Hours

This instructor-led, live training in Kenya (online or onsite) is aimed at business analysts who wish to learn advanced Spotfire Analyst techniques for analyzing data.

By the end of this training, participants will be able to:

  • Share visualizations among different team members.
  • Secure access to software based on roles and access controls.
  • Create visualizations such as map charts.
  • Integrate statistical computing languages such as R with Spotfire.
Read more...

ArcGIS for Spatial Analysis

 14 Hours

This instructor-led, live training in Kenya (online or onsite) is aimed at field ecologists and conservation managers who wish to create data spatial projects in ArcGIS.

By the end of this training, participants will be able to:

  • Output spatial data as visualizations.
  • Conduct geostatics on actual data.
  • Implement spatial data analysis, data processing, and mapping with ArcGIS.
  • Analyze spatial data for projects in ArcGIS.
Read more...

ArcMap in ArcGIS

 14 Hours

This instructor-led, live training in Kenya (online or onsite) is aimed at intermediate-level environmental scientists and archaeologists who wish to learn how to use ArcMap in ArcGIS for collecting, organizing, managing, and analyzing geographic information.

By the end of this training, participants will be able to:

  • Understand the fundamentals of ArcMap and ArcGIS.
  • Collect, organize, manage, and analyze geographic information on the social and archaeological elements.
  • Conduct spatial queries for impact evaluation.
Read more...

ArcGIS from Basic to Advanced

 35 Hours

This instructor-led, live training in Kenya (online or onsite) is aimed at beginner-level to advanced-level GIS professionals and analysts who wish to learn how to effectively use ArcGIS for data visualization, spatial analysis, and geospatial project management.

By the end of this training, participants will be able to:

  • Navigate and utilize ArcGIS tools for geospatial data management.
  • Create and customize maps with layers and attributes.
  • Perform advanced spatial analysis and geoprocessing tasks.
  • Automate workflows using ModelBuilder and Python.
Read more...

ArcGIS Enterprise for Technical Support

 14 Hours

This instructor-led, live training in Kenya (online or onsite) is aimed at beginner-level IT support personnel who wish to provide robust support for ArcGIS Enterprise, addressing any anomalies or failures effectively.

By the end of this training, participants will be able to:

  • Understand the architecture and components of ArcGIS Enterprise.
  • Learn to install, configure, and manage ArcGIS Enterprise.
  • Gain skills in troubleshooting and resolving common issues.
  • Develop proficiency in monitoring and maintaining ArcGIS Enterprise environments.
  • Master the techniques for backup, recovery, and performance optimization.
Read more...

ArcGIS Fundamentals

 14 Hours

This instructor-led, live training in Kenya (online or onsite) is aimed at beginner-level professionals who wish to learn the fundamental concepts and tools of ArcGIS.

By the end of this training, participants will be able to:

  • Understand the basic concepts of GIS and spatial data.
  • Navigate the ArcGIS interface.
  • Create and manage spatial data.
  • Perform basic spatial analysis.
  • Create maps and visualizations.
Read more...

ArcGIS Pro for Spatial Analysis

 14 Hours

By the end of this training, participants will be able to:

  • Understanding GIS concepts and spatial data types using the latest version of ArcGIS Pro.
  • Investigate the user interface and evaluate the uses
  • Explore ArcGIS* Pro and how to utilize online content
  • Manage, manipulate and analyze your own data
  • Display and share your data in a meaningful and creative way

Note: We will use the latest version of ArcGIS Pro.

Read more...

ArcGIS Professional Plus: Advanced GIS Data Management and Analysis

 14 Hours

ArcGIS Professional Plus is an advanced version of ArcGIS Pro, offering extended features for geospatial data analysis, 3D modeling, automation, and enterprise collaboration.

This instructor-led, live training (online or onsite) is aimed at intermediate-level GIS professionals who wish to deepen their skills in spatial data analysis, automation, and sharing using ArcGIS Professional Plus tools.

By the end of this training, participants will be able to:

  • Leverage ArcGIS Pro Plus tools for data visualization and analysis.
  • Create 2D and 3D maps with advanced symbology and geoprocessing techniques.
  • Automate workflows using ModelBuilder and Python scripting.
  • Integrate ArcGIS with external data services and enterprise systems.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
Read more...

Advanced ArcGIS Pro for Spatial Analysis

 35 Hours

This instructor-led, live training in Kenya (online or onsite) is aimed at advanced-level GIS professionals who wish to use ArcGIS Pro to enhance their spatial analysis capabilities, conduct comprehensive geostatistical analysis, and apply advanced 3D modeling techniques for more effective decision-making and problem-solving in real-world scenarios.

By the end of this training, participants will be able to:

  • Develop advanced skills in spatial analysis techniques using ArcGIS Pro.
  • Utilize Python scripting for automation and complex data processing.
  • Apply spatial modeling for problem-solving in real-world scenarios.
  • Conduct geostatistical analysis for advanced data interpretation.
  • Integrate external data sources and leverage 3D spatial data analysis.
Read more...

ArcGIS with Python Scripting

 14 Hours

This instructor-led, live training in Kenya (online or onsite) is aimed at GIS analysts who wish to automate repetitive tasks in GIS processes.

By the end of this training, participants will be able to:

  • Build GIS applications using Python and ArcGIS tools.
  • Develop with the ArcGIS package ArcPy, using Python.
  • Apply the ArcGIS modules for map automation using object classes in Python.
Read more...

Python for ArcGIS and QGIS for Earth Sciences and Engineering Professionals

 35 Hours

This instructor-led, live training in Kenya (online or onsite) is aimed at beginner-level earth sciences and engineering professionals who wish to use Python for geospatial analysis in both ArcGIS and QGIS environments.

By the end of this training, participants will be able to:

  • Learn Python syntax and control structures for executing geospatial tasks efficiently.
  • Use Pandas, Numpy, and Matplotlib for data analysis and visualization in GIS.
  • Manipulate and analyze vector data with Geopandas, Arcpy, and PyQGIS libraries.
  • Automate geospatial processes and workflows using Python scripting in ArcGIS and QGIS.
  • Develop custom Python-based geoprocessing tools for ArcGIS and QGIS to streamline tasks.
Read more...

QGIS for Geographic Information System

 21 Hours

A geographic information system (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The acronym GIS is sometimes used for geographic information science (GIScience) to refer to the academic discipline that studies geographic information systems and is a large domain within the broader academic discipline of geoinformatics.

QGIS functions as geographic information system (GIS) software, allowing users to analyze and edit spatial information, in addition to composing and exporting graphical maps. QGIS supports both raster and vector layers; vector data is stored as either point, line, or polygon features. Multiple formats of raster images are supported, and the software can georeference images. To summarize it allows the users to Create, edit, visualise, analyse and publish geospatial information on Windows, Mac, Linux, BSD.

This program, in its first phase, introduces the QGIS interface for general usage. In the second phase, we introduce PyQGIS - the python libraries of QGIS that allows the integration of GIS functionalities in your python code or your python application, so that you may even create your own Python Plugin around a particular GIS functionality.

Read more...

Introduction to Spotfire

 14 Hours

This instructor-led, live training in Kenya (online or onsite) is aimed at business analysts and data analysts who wish to learn basic Spotfire Analyst techniques for analyzing data.

By the end of this training, participants will be able to:

  • Install and configure TIBCO Spotfire.
  • Combine data from different databases.
  • Visualize large datasets.
  • Create and share complex dashboards.
Read more...

Data Analysis with SQL, Python and Spotfire

 14 Hours

In this instructor-led, live training in Kenya, participants will learn three different approaches for accessing, analyzing and visualizing data. We start with an introduction to RDMS databases; the focus will be on accessing and querying an Oracle database using the SQL language. Then we look at strategies for accessing an RDMS database programmatically using the Python language. Finally, we look at how to visualize and present data graphically using TIBCO Spotfire. 

Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.

Read more...

Related Categories

Data Analysis
Data Analysis
Dask
Dask