100 Python Challenges to Boost Your Python Skills (Udemy.com)

The exercises didn't involve much code and each exercise typically involved a limited scope of Python knowledge. This allowed me to spend as much time as I needed to research the correct answer. Some exercises I could blast right through while on some exercises I spent hours learning more about the subject matter and understanding the instructor's solution.

Great format and very helpful for getting into a 'code to problem solve' mentality and learn from scratch. Prompts the student to research documentation independently and apply the knowledge to solve problems. Please do an intermediate version !

The most interactive course I have seen on Udemy. Most suited for lazy students :) But the content can be enriched a bit more.

Questions are comprehensive and instructive for beginners but I would prefer more explanations on the videos. You have instructor answer below the question and a video that explains the answers at the end of the each section. Videos don't contribute more than the written answers. However, I feel more confident than the beginning.

Idee ist prima, denn nur durch eigenes Coden lernt man es. - Die Umsetzung ist aber noch ziemlich holprig, der Udemy Server gibt Fehler an, die im lokalen Interpreter als korrekt durchgehen (zu kleinlich) und es werden oft wenig hilfreiche Fehlermeldungen gemacht ("Wrong code, try again"). Das ist frustrierend und hat dazu gefhrt, da ich den Autor mit vielen Fragen gleichen Inhalts, warum meine Antwort denn falsch sei, berhufen mute. Er antwortete immer prompt und hilfreich.Vorschlag fr hilfreichere Fehlermeldungen:- Originaltext der Fehlermeldung ausgeben, ggf. fr Ungebte erklren (z.B. "Fehler kann auch in der Zeile darber liegen"), kryptische Texte vereinfachen (s. https://docs.python.org/3/library/exceptions.html , Concrete Exceptions )- Allgemeiner Code-Check wie: "Schreibfehler?", "wie ndert sich der Wert beim beim 1. /2./3. ... Schleifendurchlauf?", "Stimmt der Datentyp", "Zwischenwerte mit print() erhalten", "Datentyp mit type() ermitteln" ...- Spezieller Code-Check: Einblenden von "Hints" bei Fehlversuchen, User-defined Exceptions

I have learnt a lot with this course. I had to do a lot of research in order to complete the coding exercises, and at first I was a bit disappointed that this research was not presented to me as part of the course. In hindsight this really helped the learning, and I am much more confident with Python than before I started, so I think the format really works.

Overall good course and a great attempt and effort in creating the interactive U-platform. Some questions are ambiguous and needs clarity. Question framing needs attention. Also the glob module and its functionality was not explained. Expected a short 2 min explanation may be in solution part as there were lot of exercise on file handling.

The class is well organized and the explanations are generally pretty clear. For questions that require an import, I recommend having those imports already included in the student answer section so we are not spending a lot of time trying to solve the problem using Python-only inputs.

I wanted to practice Python coding, and this course provided some opportunities to do so.

In some ways it was somewhat low level, but it had some tough questions that required research. Or perhaps just a little unclear about what was being asked. That is probably not a bad thing, I'm just used to Udemy courses covering the material first then letting you work on applying it. But all-in-all I did learn some new things and it was good practice in doing Python programming.

Good course to refresh your knowledge or for beginners to test their python knowledge. Questions related to OOPs concept, decorators, generators are missing though.

Good Intro. course that covers the basics, very practical and helpful.Would like to see this course expanding to cover more advanced topics - List Comprehension, generator, and some popular algorithms. Love to see this becomes a series with very focus areas.Thanks.