Training schedule
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Python for Data Engineers
Python is a flexible and powerful language, which gives developers lots of freedom. But such freedom can lead to unmaintainable wheel-reinventing spaghetti-like code. This training will provide you with the necessary tools to help you turn your code simple, beautiful and truly pythonic.
Clients we've helped
What you'll learn
- How to write a decorators
- How to use context managers
- How to properly write Python objects
- How to properly package a Python app via setup.py
- How to write proper fixtures for unittesting (Flask and regular apps)
- How to run Flask from within a Docker container
- How to combine Flask and unicorn
- How to add commands to the Flask CLI
The schedule
The program consists of both theory and hands-on exercises.
- Setting up Python
- List comprehensions
- Iterators and generators
- Functions
- Type hinting
- Object oriented structures
- Decorators
- Context managers
- OS Filesystem
- Command line
- Unit testing
- Flask applications
learning journey
Data Engineering Learning Journey
This online course is perfect for
Data Scientists, Analysts and data engineers who spend their working hours developing Python-based solutions. Basic experience with Python is required. If you’re not quite there yet, we recommend the Python Essentials course as preparation for this training.
What will you learn during the Python for Data Engineers training?
After this training, you will learn advanced features of the Python language, which will help you structure your code in accordance with the language fundamentals, reduce its size and make it more readable, maintainable and scalable.
Tim van Cann
Data MagicianTim is often referred to as machine learning engineer. He has a background in Artificial Intelligence (MSc) and Software Development and as such enjoys building scalable machine learning solutions, feeling comfortable with both data science and data engineering.
His main focus is getting models to production to achieve business value.
Tim is often seen in the gym lifting weights. He also takes the occasional run, bike ride, swim, or crossfit WOD. Ask him anything about food and/or fitness and you’ll likely get a helpful answer.
Structured, to-the-point, good combination of theory and practical examples, very knowledgeable trainer who can explain concepts very well
It was a hands-on and tangible course. We could apply what we learned in a matter of minutes. The trainer did a great job of answering ad-hoc questions that complemented the material. We appreciated the fact that we could apply what we were taught directly to our company.
I liked every aspect of this training and would like to thank the trainers. They did an excellent job of explaining how to use Spark for data science. This is the fourth GoDataDriven training I’ve followed. All were great, but this was the best one so far.
Climbing a steep Python and Machine Learning curve in three days. This would have taken me months on my own.