Bl.ocks VS Jupyter

Bl.ocks Reviews

Jupyter Reviews

Bl.ocks mentions (8)

• Timeline chart : Where to start?

  - elijah meeks has some force collision label work that he's done, though I don't know where it lives. I'd google around, it may have lived on bl.ocks.org; there may be more up-to-date stuff too. Source: 10 months ago

• [OC] Russian population decline hit -1,042,675 last year. This population pyramid shows the development since 1946. With wars, famine, and the fall of Soviet marked.

  D3 is luckily a very popular library with lots of resources available. I'd suggest also checking out bl.ocks and Observable for great examples. The latter one is amazing if you just want to do statistics/visualization work, since it acts like a Jupyter-like notebook environment. Source: almost 2 years ago

• Using Hamburger Menus? Try Sausage Links

  Yeah, for that use case, https://bl.ocks.org is better than CodePen. Publish a GitHub gist, replace gist.github.com with bl.ocks.org, and sneak in "/raw" between the username and the gist id. You can even point to specific commit hashes. - Source: Hacker News / about 2 years ago

• How do I embed this d3 visualization into my own html page?

  The harder way: Follow an example of someone coding the visualization on their local set up (which may be hard to find depending on what your are looking for as a lot of D3 examples have migrated to Observable). But here is an old glossary of examples it is on an old website called Bl.ocks that showed D3 examples using Github gists. Source: over 2 years ago

• Optimize rendering a map w/ large data set

  That's great, and hey maybe I'll steal some of your recipes from your blog too :) Currently I'm following https://bl.ocks.org/ for inspiration and don't have too many other sources to read through, but your blog seems like it's filled w/ topics on data viz & getting around pain points, I'm all about it! Source: over 2 years ago

Jupyter mentions (202)

• Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy

  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

• Using IPython Jupyter Magic commands to improve the notebook experience

  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

• Choosing Between a Streaming Database and a Stream Processing Framework in Python

  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

• MLOps in practice: building and deploying a machine learning app

  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

• Stuff I Learned during Hanukkah of Data 2023

  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