Categories |
|
---|---|
Website | jupyter.org |
Details $ | - |
Categories |
|
---|---|
Website | thonny.org |
Details $ |
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.
Based on our record, Jupyter should be more popular than Thonny. It has been mentiond 200 times since March 2021. 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.
They make it easy to launch multiple case-by-case data science projects and run your local code right from Jupyter Notebook. - Source: dev.to / 18 days ago
Talking to some colleagues and friends lately gathering some ideas of a nice Machine Learning project to build, I’ve seen that there’s a gap of knowledge in terms of how do one exactly uses a Machine Learning model trained? Just imagine yourself building a model to solve some problem, you are probably using Jupyter Notebook to perform some data clean up, perform some normalization and further tests. Then you... - Source: dev.to / about 2 months ago
This year I decided to commit to a set of tools on day 1 (Polars and Jupyter) and use them for the whole challenge. It seemed silly to do a whole new meandering walkthrough, so instead I'll highlight a few things that stuck out after finishing the challenge and sitting on it for a few days. Here we go! - Source: dev.to / 2 months ago
The resulting technical reports can be in the formats: Markdown, Pod6, or Org-mode. Or just Jupyter notebooks. Source: 4 months ago
Another effective way to use comments is through literate programming. In this programming style, comments take the spotlight: the source code contains more prose than executable code. This is useful when explaining the algorithm is more important than reading it, as in academic research and data analysis. Not surprisingly, it is the paradigm of popular tools like Jupyter Notebook and Quarto. - Source: dev.to / 5 months ago
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 / 22 days 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 / about 2 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 / 2 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 / 3 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: 8 months ago
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
IDLE - Default IDE which come installed with the Python programming language.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Spyder - The Scientific Python Development Environment