I started an on-line python course that used Pycharm as its basis. I had previously used Thonny to look at code for various programs. I found Pycharm to be over-featured for a beginner like me. Thonny seems much more on my level so I am continuing the course using it instead. And successfully I might add.
Thonny might be a bit more popular than Kaggle. We know about 108 links to it since March 2021 and only 99 links to Kaggle. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Install Thonny and run it. Then go to Tools -> Options, to configure the ESP32C3 device in Thonny to match the settings shown in the screenshot below. - Source: dev.to / 4 months ago
The recommended way to programm MicroPython on the Raspberry Pico is to use the Thonny IDE. Accessing the Badger with reveals the following file structure:. - Source: dev.to / 5 months ago
Personally, I like to debug and step through code to see where I went wrong so I'm going to paste the code into my Thonny IDE. I like Thonny for small code challenges like this because it doesn't require setting up a whole project just to run and step through code. - Source: dev.to / 5 months ago
Thonny is designed speciffically for that purpose https://thonny.org . For beginners the main advantage is the easier install and maintainance, and the less intimidating/cluttered environment. IMHO it makes some decent tradeoffs, and it is an onramp for students evolving to VSCode or PyCharm when they feel ready. - Source: Hacker News / 6 months ago
I use the serial console with a tool like Thonny to debug KMK/CircuitPython code on my device. Running something like import main; main.keyboard.go() usually prints a useful error message. Source: 11 months ago
Need help with last minute python project (due today). Project involves choosing a dataset from kaggle.com to analyze and creating questions to answer through analyzing the data. I have a pdf file of the project guidelines if you want more details. Also on a budget. Source: 12 months ago
Next, you can do basic analysis of datasets in Python using libraries like pandas and scikit-learn. There's a lot of example datasets on kaggle.com. Source: 12 months ago
Also look into kaggle.com and participate in competitions, etc. This will be something you can show on your CV as real-world-experience while boosting your skills. Source: 12 months ago
Take a loot at the Open Images dataset or Kaggle. Source: 12 months ago
If you took a good database course and a good data science/data analytics/informatics course in college, you likely have the knowledge you need for the PBQs. Looking at the "Given a scenario..." objectives for the Data+, I think I would practice up basic SQL, then fire up PowerBI/RStudio/Jupyter Notebook/whatever your favorite visualization tool is and take some real-world data from kaggle.com and make some... Source: about 1 year ago
PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...
Colaboratory - Free Jupyter notebook environment in the cloud.
IDLE - Default IDE which come installed with the Python programming language.
HackerRank - HackerRank is a platform that allows companies to conduct interviews remotely to hire developers and for technical assessment purposes.
Spyder - The Scientific Python Development Environment
Geektastic - Geektastic is a platform that manages peer reviewed code challenges supported by a community of qualified software engineers.