Dask Training Courses - Slovakia

I preferred the exercise and learning about the nooks and crannies of Python.

Joey has an infectious enthusiasm about programming. And he was very good at adapting to our needs and interests on the fly.

Many examples made me easy to understand.

The comprehensive knowledge of the guide to all our questions gave answers overwhelming my expectations ... The lecturer conducts great discussions ... He does not lack patience ...

Great knowledge of the lecturer, diversity of tools and practical approach to the topic

great knowledge of the trainer, how to translate

Fact that customization was taken seriously.

I did like the exercises.

I liked the helpful and very kind.

We did practical exercises (the scripts we wrote can be used in our everyday work). It made the course very interesting. I also liked the way the trainer shared his knowledge. He did it in a very accessible way.

Very good approach to memorize/repeat the key topics. Very nice “warm-up” exercises.

* Enjoyable exercises. * Quickly moved into more advanced topics. * Trainer was friendly and easy to get on with. * Customized course for needs of team.

I enjoyed the felixibility to add specific topics into the course / lessons.

All like it

the trainer looked at and helped each person individually

A set of exercises ideally suited to the subject. Exercises easy and "with a star"

Good balance theory / exercises, adjusting the level of lectures to listeners less and more experienced, a very big plus for using Jupiter Notebook and showing the theory in practice. I also liked to collect anonymous feedback after the first part of the training the next day everything was prepared according to our suggestions and even though it was already very good, it was even better later :)

commitment of the teacher, preparation, approach to listeners, willingness to explain all ambiguities

That the leader approaches everyone, even when he does not call for help and checks the level of the exercise.

The trainer presented a very short theories about a given issue and we immediately went to practice. A nice way of hanging out cards, which gives the trainer information about how much time he has to spend on a given task, and who else has problems with the solution.

That even if someone did not ask for it, but you could see that he was not moving forward with the task, Krzysztof came up and was able to advise skilfully

The way of conducting, the exercises, all in all it all liked, I'm very happy that I came to such a trainer

Real examples of exercises

Availability of training materials (Jupyter), created on an ongoing basis updating the notebook depending on the questions that fell during the course. Dispelling doubts, answers to all questions.

Accessibility and an interesting way of delivering teaching materials.

Work on xlsx and csv files

In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.

The case studies helped us understand how we can apply Python in the industry. Really appreciated the trainer's help during the exercises.

As we are PHP developers, he understood the situation and allowed us to slowly map things between. I liked the examples and the humor he added.

All

Interesting issues

Variety of prepared issues and examples

I genuinely enjoyed the lots of labs and practices.

The exercises/labs were tailored to our own organizational needs.

I generally liked the subject matter.

The trainer was sharing real word experiences, it's nice to learn from real professional.

The trainer was excellent, He was always ready to answer my questions and share as much knowledge as he could.

1:1 very intensive but learnt a lot.

emphasis on examples with encoding "on the projector" is definitely on + for Tom.

I mostly enjoyed the subject.

The way the exercises were organized : all on own tempo and Antonio there to help you further.

I liked the sufficient and very detailed reading materials and examples (slides).

I genuinely liked the na.

What I like the most about the training is that everything in the course outline is something that will be useful for our projects.

The overview/the recommendations

Labs

A practical approach to the subject, a lot of exercises.

The informal exchanges we had during the lectures really helped me deepen my understanding of the subject

practice tasks

Recap of previous day, trainer very knowledgable in answering questions

It gave me a broad overview of the possibilites

really kind, good approach to trainees, helpful

I like pace of the training. It was good and we were able to cover many aspects of programming language. Trainer was able to show many applications of Python in very informative way. Trainer sent to us many scripts and micro-programs for furher reference which is very useful. I like, that we started training with some technical remarks and setting up virtual environment.

I thought John was very knowledgeable and able to diseminate information in a very understandable way.

John was a very friendly and knowledgeable trainer and was keen to adapt the course to our requests.

Gaining a better understanding of object oriented programming as this is a key difference to programming in Matlab (which I am much more familiar with). The training should hopefully be very useful!

Ideally hit examples, systematizing knowledge about testing

A lot of exercises for each example

Trainer's knowledge, group's humor, interesting issues.

Expertise and knowledge of the lecturer

A good balance between theory and practice, the way the trainer handles knowledge

knew his subject well

The exercises combined with the experienced help of the trainer

The fact that we could practice a lot. Even though for me being a newbe the pace was to fast and explanation too few. However, probably due to the mixed knowkedge level of the students attending the class.

Trainer obviously had a great holistic understanding of programming.

The possibility of adapting the subject matter of the classes to the needs, through, among others analysis of issues planned to be presented at the beginning of the training. High level of knowledge and skills of the trainer. Transparent form of knowledge transfer. Materials prepared during the course.

the last day. generation part

The topics referring to NLG. The team was able to learn something new in the end with topics that were interesting but it was only in the last day. There were also more hands on activities than slides which was good.

I enjoyed the sentinal analysis/ data science aspect of the course.

pace and explanations

I like that it focuses more on the how-to of the different text summarization methods

The trainer was great! If he would have more time I think we could have learned a lot more.

Exercises

It makes the trick. A good introduction (and more) to python.

* Organization * Trainer's expertise with the subject

Teaching style and ability of the trainer to overcome unforeseen obstacles and adopt to circumstances. Broad knowledge and experience of the trainer

Overall good intro to Python. The format of using Jupyter notebook and live examples on the projector was good for following along with the exercises.

lots of information, all questions ansered, interesting examples

The flexibilty and clear information

The content.

Pictures

Willingness of Krzysztof to answer all questions.

Live coding, helping with code and different bugs, explanation with examples

Good interaction with audience, a lot of questions

The course has good proportion between theory and practice, knowledgeable trainer, a lot of training materials and user in practice.

Very good approach to memorize/repeat the key topics. Very nice “warm-up” exercises.

I like that it focuses more on the how-to of the different text summarization methods