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Engineers often work with a lot of data. The simplest and most commonly used applications to manage data are spreadsheet applications such a Excel. Unfortunately they are often not powerful enough when it comes to large amounts of data. Instead, programming can make solving more complex problems feasible and more easily reproducible. Python offers many useful libraries that can make data management for engineers more efficient.
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?
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.
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.
If you would like to get deeper into one topics, these courses might be of interest for you:
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:
Roadmap for DevOps and SysAdmins (direct link to Step 3)
Roadmap for Testers (direct link to Step 3)
Roadmap for Software Developers (direct link to Step 3)
Roadmap for Web Developers (direct link to Step 3)
| Tel: | +49 341 260 3370 |
| Fax: | +49 341 520 4495 |
| mail: | info@python-academy.de |
| Tel: | +49 341 260 3370 |
| Fax: | +49 341 520 4495 |
| mail: | info@python-academy.de |