Based on our record, Jupyter seems to be a lot more popular than Protocol Buffers. While we know about 206 links to Jupyter, we've tracked only 18 mentions of Protocol Buffers. 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.
You will notice the code above prints out an array of numbers that only mean something to you if you are an all-knowing AI. These numbers are generated using Google's Protocol Buffers (also refered to as protobuf). - Source: dev.to / 8 days ago
The compact nature of VelocyPack also benefits data transmission over networks. Smaller data sizes mean less bandwidth usage and faster transmission times, essential for distributed databases and applications that rely on real-time data. Protocol Buffers (Protobuf) by Google is another binary format with similar advantages; VelocyPack's integration with ArangoDB offers seamless usage within this specific database... - Source: dev.to / 19 days ago
Flyxc messages are based on protocol buffers ("protobuf" if you want to sound cool). They are not human readable but much more compact and faster for computers to work with:. - Source: dev.to / about 1 month ago
> Aren’t a standard You mean like an IETF standard? That is true, although the specification is quite simple to implement. It is certainly a de-facto standard, even if it hasn’t been standardized by the IETF or IEEE or ANSI or ECMA. > inherently limits anything built on top of them to not be a standard either I’m not sure that strictly follows. https://datatracker.ietf.org/doc/html/rfc9232 for example directly... - Source: Hacker News / 5 months ago
The MQTT protocol is widely used in IoT applications because of its simplicity and ability to connect different data sources to applications using a publish/subscribe model. While many MQTT brokers support persistent sessions and can store message history as long as an MQTT client is not available, there may be cases where data needs to be stored for a longer period. In such cases, it is recommended to use a time... - Source: dev.to / 6 months ago
Interesting, I would have guessed you had used something jupyter-like: https://jupyter.org/ https://explorabl.es/all/. - Source: Hacker News / about 1 month 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 / about 2 months ago
Jupyter Lab web-based interactive development environment. - Source: dev.to / 2 months 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 / 2 months 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 / 4 months ago
TOML - TOML - Tom's Obvious, Minimal Language
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.
Messagepack - An efficient binary serialization format.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
Eno - Fast, human readable, plain-text data format
Google BigQuery - A fully managed data warehouse for large-scale data analytics.