Updating search results...

Search Resources

2 Results

View
Selected filters:
Future Internet Opportunities teaching materials
Conditional Remix & Share Permitted
CC BY-SA
Rating
0.0 stars

This course on "Future Internet Opportunities" consists of 10 modules, which are related to the subject from technical, social and business perspectives.

Each module is available at introductory, basic and advanced levels.

The material is developed as part of an Erasmus+ Strategic Partnership, and available for everyone to use, exploit and modify. The materials consist of a wide variety of materials: From Powerpoint slides, to interactive materials with videos and quizzes, assignments, and peer learning activities.

Subject:
Applied Science
Computer Science
Education
Engineering
Higher Education
Material Type:
Full Course
Teaching/Learning Strategy
Author:
Andreas Timm-Giel
Henry Scott
Iraklis Agiovlatisis
Jan Frick
Jens Myrup Pedersen
Jose A Lazaro
Jose Gutierrez Lopes
Josep Sole Pareta
Lukasz Zabludowski
Marite Kirikova
Nga Phuong Tran
Raphael Elsner
Sukru M. Kuran
Thomas Laudal
Tuna Tugcu
Date Added:
10/24/2017
Julia Data Science
Conditional Remix & Share Permitted
CC BY-NC-SA
Rating
0.0 stars

This is an open-source and open access book on how to do Data Science using Julia. The book describes the basics of the Julia programming language DataFrames.jl for data manipulation and Makie.jl for data visualization.

You will learn to:

- Read CSV and Excel data into Julia
- Process data in Julia, that is, learn how to answer data questions
- Filter and subset data
- Handle missing data
- Join multiple data sources together
- Group and summarize data
- Export data out of Julia to CSV and Excel files
- Plot data with different Makie.jl backends
- Save visualizations in several formats such as PNG or PDF
- Use different plotting functions to make diverse data visualizations
- Customize visualizations with attributes
- Use and create new plotting themes
- Add LaTeX elements to plots
- Manipulate color and palettes
- Create complex figure layouts

Subject:
Applied Science
Computer Science
Information Science
Mathematics
Measurement and Data
Material Type:
Textbook
Author:
Jose Storopoli
Lazaro Alonso
Rik Huijzer
Date Added:
11/10/2021