Roadmap for Scientists

Scientists frequently need to work with data. Working with spreadsheet programs such a Excel quickly reaches its limits for large amounts of data or more complex problems. Programming can help to solves these types of problems in better and more reproducible manner. Python offers many libraries that scientists that can use effectively in their daily work.

Step 1

Preparation

This first step should be short evaluation of your prior programming knowledge. You should answer these questions:

  • What prior programming experience do you have?

  • What are your objectives for using Python?

  • Are you already using Python? I yes, what is your level experience?

Step 2

Learn the basics

Depending on your prior programming knowledge, you should attend different courses:

  • If you have only little or no programming knowledge, the course Python for Non-Programmers would be the best for you.

  • If don’t have any or only little Python knowledge but you are a regular user of another programming language, the course Python for Programmers serves your needs the best.

  • If you already use Python on a regular basis and you feel you are proficient in writing good Python programs, you can go straight to the next step.

Step 3

Advance your skills

If you already attended a course of step 2 or are proficient with Python, attending the course Python for Scientists and Engineers would be the next logical step.

Step 5

Expand your horizon

Depending on your objectives you defined in step 1, you may continue your Python learning journey with step 3 or step 4 of these curricula:

How to contact us:
Python Academy GmbH & Co. KG
Zur Schule 20
04158 Leipzig / Germany
Tel:+49 341 260 3370
Fax:+49 341 520 4495
mail:info@python-academy.de
How to contact us:
Python Academy GmbH & Co. KG
Zur Schule 20
04158 Leipzig / Germany
Tel:+49 341 260 3370
Fax:+49 341 520 4495
mail:info@python-academy.de