Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python. - Source: dev.to / about 18 hours ago
Jupyter Notebooks is very popular among data people specially Python users. So, I tried to find a way to run the Groovy kernel inside a Jupyter Notebook, and to my surprise, I found a way, BeakerX! - Source: dev.to / about 2 months ago
Note. Nowadays, there are many flavors of notebooks (Jupyter, VSCode, Databricks, etc.), but they’re all built on top of IPython. Therefore, the Magics developed should be reusable across environments. - Source: dev.to / about 2 months ago
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 / 2 months 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 / 3 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 / 4 months ago
The resulting technical reports can be in the formats: Markdown, Pod6, or Org-mode. Or just Jupyter notebooks. Source: 5 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 / 6 months ago
Imagine sitting in a cozy cafe with your favorite warm beverage in hand. As the rain drizzles outside, I will introduce you to a tool that might revolutionize how you approach code, data, and storytelling. Meet the Jupyter Notebook, an open-source web application tailor-made for interactive computing. - Source: dev.to / 6 months ago
Thanks, this is really helpful! I did not know https://jupyter.org/ before! - Source: Hacker News / 8 months ago
Possibly using a similar approach to Jupyter notebooks or lab if not Jupyter itself on top of ipython. Source: 9 months ago
Our Jupyter Notebook looks like yesterday I fell in love with this tool, I met in college. I use it to this day. Definition for this tool and simplicity and power. - Source: dev.to / 9 months ago
Let's just start coding. You need an environment when you can run Python code. I recommend to use Jupyter Notebook. In the next sections, all code samples and output assumes that you run this in the Jupyter Notebook. - Source: dev.to / 10 months ago
You can document your code as you write it. You can include explanations, comments, and visualizations within the same document, making it easier to understand. You can load and manipulate data, visualize it, perform statistical analysis, and generate reports—all in a single notebook. This makes it convenient for exploring and presenting insights from your data. You can find more on e.g. https://jupyter.org/. Source: 10 months ago
Don't forget Jupyter. Allows you to take notes and/ document stuff with in-line python. Source: 10 months ago
Maybe one of these two things: 1. https://jupyter.org/ 2. https://streamlit.io/. Source: 11 months ago
I've been experimenting a lot with using Jupyter Notebooks (http://jupyter.org/) to get many features of literate programming. The tooling can be a bit clunky -- though JupyterLab and some plugins can go a long way. Importing notebooks into other notebooks or modules is still kind of weird even with the `ipynb` library. However, on the otherside of it all, you have a collection of documents that contain... - Source: Hacker News / 11 months ago
Jupyter Notebook - popular web browser based editor and run time environment for Python (and R). Source: 11 months ago
To follow the sections started from this one, you need to have Python and Jupyter Notebooks installed. - Source: dev.to / 12 months ago
He's talking about Jupyter Notebooks. Its a whole programming methodology/paradigm that is based off Python and a few other things. I don't really understand it myself, I just know you'll run into it depending on how deep you get into learning Python and playing with AI or Data science things. Source: 12 months ago
Analysis was done in Jupyter Notebook with Python 3.10, Pandas, Matplotlib, wordcloud and Mercury framework. Source: 12 months ago
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This is an informative page about Jupyter. You can review and discuss the product here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.