DASH
Bitcoin
Litecoin
zsh
Monero
Ethereum
Zeal
Dogecoin
Jupyter
Looker
Databricks
Google BigQuery
Presto DB
Rakam
Informatica
Concurrent
JupyterBased on our record, Jupyter seems to be a lot more popular than DASH. While we know about 205 links to Jupyter, we've tracked only 8 mentions of DASH. 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.
Only problem I have with this promotion of Dash is that the 'Dash is Digital Cash' got snowed under with all the references to dash.org and there is also a very very short time to understand why Dash is Digital Cash. Source: over 1 year ago
All these reasons led me to develop this open source project. I chose Dash because honestly I was blown away after trying it. - Source: dev.to / almost 2 years ago
1 : Misleading title (there is no actual security breach at dash.org). Source: almost 2 years ago
Please see my post history here on reddit and on the dash.org forum. Much has already been written on the subject. Source: about 2 years ago
During Ryan's tenure at Dash, he has managed to rid the official website https://dash.org/ of any mention of the word privacy or PrivateSend, our brand. Not content with that, he took it a step further and single handedly made the decision to de-brand PrivateSend from the wallets, the codebase and the Dash documentation. This was a decision not consulted with the network, merely relayed to 'us' as important and... Source: about 2 years ago
JupyterLab: JupyterLab is an interactive development environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's particularly well-suited for data science and research-oriented projects. - Source: dev.to / 9 days ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / 20 days ago
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 / 15 days 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 / 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 / 2 months ago
Bitcoin - Bitcoin is an innovative payment network and a new kind of money.
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.
Litecoin - Litecoin is a peer-to-peer Internet currency that enables instant payments to anyone in the world.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
zsh - The Z shell (Zsh) is a Unix shell that can be used as an interactive login shell and as a powerful command interpreter for shell scripting.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.