Schedule

Course dates

Week

Day

Date

Time

Description

48

Thursday

2025-11-27

9:00 (sharp) to 16:00

Day 1: Log in and use Basic Python in a cluster environment

48

Friday

2025-11-28

9:00 (sharp) to 16:00

Day 2: Packages, environments and using compute nodes

49

Monday

2025-12-01

9:00 (sharp) to 16:00

Day 3: Basic analysis, Big Data and Batch jobs

49

Tuesday

2025-12-02

9:00 (sharp) to 16:00

Day 4: Parallelism, GPUs, and machine learning

Next course dates:

  • 3 March 2026: 1 day course

  • 20,22-24 April 2026: 4 day course

Day 1: Log in and use Basic Python in a cluster environment

Course starts at 9:00 sharp and ends at 16:00

Course starts at 9:00 sharp and ends at 16:00

See schedule at NAISS ‘Intro to Python’.

Day 2: Packages, environments and using compute nodes

Time

Topic

Teacher

09:00-9:50

Introduction

Richel

Using packages

Richel

9:50-10:05

Break

.

10:05-10:55

Install packages

Björn

Use isolated environments

Björn

10:55-11:10

Break

.

11:10-11:30

Use isolated environments

Björn

11:30-12:00

Basic batch/Slurm

Birgitte

12:00-13:00

Break

.

13:00-13:20

Interactive (terminal/onDemand)

Birgitte

13:20-13:50

Starting IDEs from command line

Bjorn

13:50-14:05

Break

.

14:05-14:40

Starting IDEs from onDemand

Rebecca

14:40-14:55

Intro to Jupyter/vscode/Spyder

Jayant

14:55-15:10

Break

.

15:10-15:45

Working in Jupyter/vscode/Spyder

Jayant

15:45-16:00

Evaluation

Björn

Day 3: Basic analysis, Big Data and Batch jobs

Course starts at 9:00 sharp and ends at 16:00

Course starts at 9:00 sharp and ends at 16:00

Time

Topic

Teacher

09:00-10:00

Matplotlib

RP

10:00-10:15

Break

.

10:15-11:00

Pandas

RP

11:00-11:15

Break

.

11:15-12:00

Pandas, Seaborn

RP

12:00-13:00

Break

.

13:00-14:00

Big data

BC

14:00-14:15

Break

.

14:15-15:00

Big data, batch

BC, BB

15:00-15:15

Break

.

15:15-15:45

batch

BB

15:45-16:00

Evaluation

.

Day 4: Parallelism, GPUs, and machine learning

Course starts at 9:00 sharp and ends at 16:00

Course starts at 9:00 sharp and ends at 16:00

Time

Topic

Teacher

09:00-10:00

Parallelism

Pedro

10:00-10:15

Break

.

10:15-11:00

Parallelism

Pedro

11:00-11:15

Break

.

11:15-12:00

GPUs

Birgitte

12:00-13:00

Break

.

13:00-14:00

ML/DL

Jayant

14:00-14:15

Break

.

14:15-14:45

ML/DL

Jayant

14:45-15:00

Break

.

15:00-15:45

ML/DL

Anders Hast

15:45-16:00

Evaluation

.