PyQt Training Courses - United Arab Emirates

Provided alot of materials as well as sample codes. Linking each topic to the sample codes makes it easier for participants to catch up.

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.

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.

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.

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.

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

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!

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 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.

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