PyQt Training in Milan

Przekazanie wiedzy praktycznej oraz doświadczeń trenera.

Rumel Mateusz - Pojazdy Szynowe PESA Bydgoszcz SA

Course - GUI Programming with Python and PyQt

Many different examples and topics has been covered, from basic investigation to login management and dynamic page management.

Daniele Tagliaferro - Creditsafe Italia Srl

Course - Web Scraping with Python

flexibility of approach to the client. the trainer was able to prepare issues that were of interest to the training participants.

Mirosław - CREDIT SUISSE (POLAND)

Course - Python Programming - 4 days

Machine Translated

The virtual machines worked very well and make playing around with the code very easy. I also particularly liked having copies of all the examples being put together by the trainer to following with so I could see the end result in advance. Made it easier for me to ask more specific questions.

Stefan Kotze - ACC

Course - Python Programming - 4 days

Trainer covered more in depth in every topic within the time given and also gave us questions to do and explained it whenever we had queries.

Praveent Thamil Mani - MINDEF

Course - Python Programming - 4 days

Days 2 and 3. There was an absurd amount of content but Abhi handled it well, so I got real value there.

Michael Clews - ACC

Course - Python Programming - 4 days

The accesibilit of the trainer and the ability to communicate very effective,

Ciprian Ilie - Institutul National de Sanatate Publica

Course - Programming for Biologists

The trainer showed that he has a good understanding of the subject.

Marino - EQUS - The University of Queensland

Course - Machine Learning with Python – 2 Days

It was a great intro to ML!! I liked the whole thing, really. The organization was perfect. The right amount of time for lectures/ demos and just us playing around. Lots of topics were touched, just at the right level. He was also very good at keeping us super engaged, even without any camera being on.

Zsolt - EQUS - The University of Queensland

Course - Machine Learning with Python – 2 Days

Clarity of explanation and knowledgeable response to questions.

Harish - EQUS - The University of Queensland

Course - Machine Learning with Python – 2 Days

The knowledge of the trainer was very high and the material was well prepared and organised.

Otilia - TCMT

Course - Machine Learning with Python – 2 Days

I thought the trainer was very knowledgeable and answered questions with confidence to clarify understanding.

Jenna - TCMT

Course - Machine Learning with Python – 2 Days

I did like the exercises.

Office for National Statistics

Course - Natural Language Processing with Python

Plenty of examples - and the trainer willing to bend backwards to help us with topics we were weaker in.

Wei Lit Teoh - HP Singapore (Private) Ltd.

Course - Advanced Python - 4 Days

Lots of exercises

Fanny Stauffer - UCB Pharma S.A.

Course - Advanced Python - 4 Days

The trainer gave a clear and systematic teaching. He usually gave the reasoning and fundamental knowledge behind the commands. He also gave us time to do the exercises and practice.

Felicia Rezanda - HP Singapore (Private) Ltd.

Course - Advanced Python - 4 Days

The first 2 days were very informative. it gets messy when you get into frameworks because every projects has its own goals and requirements and sometimes the 'popular' framework isn't suitable.

Raphael Treccani-Chinelli - Nordic Semiconductor ASA

Course - Advanced Python - 4 Days

Lots of examples of different cases, and materials which will be useful in future as I try to apply lessons to my work applications. Also, it was great that there were tasks to do at home in between lessons, as it gives the opportunity to pick up on the parts of the previous lesson, with which I struggled. If I had a question during a lesson, the teacher would gladly help and explain the problem, and the teacher had good expertise on all questions that were asked.

Raivis - Gravity Team

Course - Python: Automate the Boring Stuff

1:1 very intensive but learnt a lot.

Karen Dyke - BT

Course - Python: Automate the Boring Stuff

Interesting knowledge

Gabriel - MINDEF

Course - Machine Learning with Python – 4 Days

The trainer was a practitioner with a lot of experience and had a very good knowledge of the material.

Witold Iwaniec - City of Calgary

Course - Machine Learning with Python – 4 Days

The trainer because he could handle almost every subject and situation.

Florin Babes - eMAG IT RESEARCH SRL

Course - Machine Learning with Python – 4 Days

The manner in which the trainer explained the concepts, his positive and welcoming attitude and the real-world examples provided for each exercise.

Ovidiu Calita - eMAG IT RESEARCH SRL

Course - Machine Learning with Python – 4 Days

Very good training session with nice documentation and exercises and Kristian did it like a professional he is.

Adrian Boulescu - eMAG IT RESEARCH SRL

Course - Machine Learning with Python – 4 Days

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

Sacha Nandlall

Course - Python for Advanced Machine Learning

Everything, great trainer.

Michał Rawicki

Course - Unit Testing with Python

Machine Translated

Expertise of the trainer, even if we asked very precise questions about specific topic, he was able to provide really meaningful and valuable for us questions. He has designed agenda of the training according to our needs and requests.

Filip - Orange Szkolenia Sp. z o.o.

Course - Unit Testing with Python

I loved summaries

Martyna - Orange Szkolenia Sp. z o.o.

Course - Unit Testing with Python

Materials Trainer

Zakar Abid - TII

Course - Unit Testing with Python

Did hands on exercise. Walked through the code. Explained everything very well

Steve Thomas - TII

Course - Unit Testing with Python

I liked that it was practical. Loved to apply the theoretical knowledge with practical examples.

Aurelia-Adriana - Allianz Services Romania

Course - Python and Spark for Big Data (PySpark)

The course was about a series of very complex related topics & Pablo has in-depth expertise of each of them. Sometimes nuances were lost in communication and/or due to time pressures and possibly expectations were not quite met due to this. Also there were some UHG/Azure Databricks setup issues however Pablo / UHG resolved these quickly once they became apparent - this to me showed a high level of understanding and professionalism between UHG & Pablo,

Michael Monks - Tech NorthWest Skillnet

Course - Python and Spark for Big Data (PySpark)

Trainer was very knowlegable and very open to feedback on what pace to go through the content and the topics we covered. I gained alot from the training and feel like I now have a good grasp of image manipulation and some techniques for building a good training set for an image classification problem.

Anthea King - WesCEF

Course - Computer Vision with Python

I'm looking forward to having a training again with Any, he was really good, I'm just a GIS guy, but Any made everything clear to me, he explained complex processes in layman's terms. Keep it up, thank you.

Lwazi Qhingana - South African National Roads Agency (SANRAL) SOC Ltd

Course - Python for Geographic Information System (GIS)

I really enjoyed the training. I found all modules to be applicable to problems that I am trying to solve at work. The integration of the training with jupyter notebooks was really impressive.

Mark Firmin - Environment and Climate Change Canada

Course - Python for Geographic Information System (GIS)

Practical examples and wider context given.

James - Mitsubishi Electric R&D Centre Europe BV (MERCE-UK)

Course - IoT Programming with Python

Knowledge, substantive content, contact with others, willingness to help even with trivial problems, ability to interest listeners.

Michał

Course - Python for Excel

Machine Translated

examples based on our data

Witold - P4 Sp. z o.o.

Course - Deep Learning for Telecom (with Python)

code examples:-)

Marcin - P4 Sp. z o.o.

Course - Deep Learning for Telecom (with Python)

I liked that the instructor had many pre-written scripts to show off many different aspects of ML and AI. I really enjoyed being able to see live demos of so many ways ML and AI is being used. Much of what we covered was cutting edge technology that is still in its early stages of development.

Matthew Pepper - Motorola Solutions

Course - Deep Learning for Telecom (with Python)

The colab notebooks we get to keep

Palmer Greer - Motorola Solutions

Course - Deep Learning for Telecom (with Python)

The clarity with which it was presented

John McLemore - Motorola Solutions

Course - Deep Learning for Telecom (with Python)

I genuinely enjoyed the lots of labs and practices.

Vivian Feng - Destination Canada

Course - Data Analysis with SQL, Python and Spotfire

That it was applying real company data. Trainer had a very good approach by making trainees participate and compete

Jimena Esquivel - Zakład Usługowy Hakoman Andrzej Cybulski

Course - Applied AI from Scratch in Python

The trainer was a professional in the subject field and related theory with application excellently

Fahad Malalla - Tatweer Petroleum

Course - Applied AI from Scratch in Python

The course was straight forward, intuitive, easy to follow, the exercises covered the subjects discussed beforehand.

Alexandru - BRD

Course - Python Programming Fundamentals

The knowledgeability.

Dan Nohai - BRD

Course - Python Programming Fundamentals

Abhi is a really well skilled developer with a lost of knowledge and also has the necessary skills of a trainer that i really liked.

Andrei - BRD

Course - Python Programming Fundamentals

I liked that all the notions regarding the Python language were explained in detail and that we were allowed to solve some exercises on our own, following which the trainer would explain them to us and offer various solutions. A very good course!

Scanteie Ana - BRD

Course - Python Programming Fundamentals

Explicatiile legate de faptul ca exista multe posibilitati de programare si existenta functiilor.

Adriana - Siemens

Course - Python Programming Fundamentals