ArangoDB Reviews

iPython Reviews

ArangoDB mentions (6)

• MongoDB takes a swing at PostgreSQL after claiming wins against rival

  If you like the document db idea there are a lot of choices, especially https://arangodb.com/ which I think gets little attention because people who use it see it as a secret weapon. Too bad about the license though. Also https://couchdb.apache.org/ and https://developer.marklogic.com/. - Source: Hacker News / almost 2 years ago

• Which Database is Perfect for You? A Comprehensive Guide to MySQL, PostgreSQL, NoSQL, and More

  ArangoDB is a multi-model database that supports document, key-value, and graph data models with a unified query language. - Source: dev.to / about 2 years ago

• Demonstrating ArangoDB VelocyPack: A High-Performance Binary Data Format

  In modern databases, efficient data serialization and deserialization are paramount to achieving high performance. ArangoDB, a multi-model database, addresses this need with its innovative binary data format, VelocyPack. This article delves into the intricacies of VelocyPack, demonstrating its advantages, usage, and how it enhances the performance of ArangoDB with code examples in Java and Rust. - Source: dev.to / about 2 years ago

• How to choose the right type of database

  ArangoDB: A native multi-model database, it offers flexibility for documents, graphs, and key-values. This versatility makes it suitable for applications requiring a combination of these data models. - Source: dev.to / over 2 years ago

• Spidergram is a collection of tools my company Autogram has built or enabled over the past several years to support our work to automate content inventories for large websites: it's part web crawler, part domain model, and part mad science. We released the first public beta today.

  ArangoDB, a "multi-modal" database engine that stores arbitrary JSON documents like MongoDB, key/value data like Redis, and graph relationships like Neo4j — and lets you leverage all three kinds of data in a single query. Source: over 3 years ago

iPython mentions (20)

• Top 5 GitHub Repositories for Data Science in 2026

  The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, A…. - Source: dev.to / 10 months ago

• Modern Python REPL in Emacs using VTerm

  As alluded to in Poetry2Nix Development Flake with Matplotlib GTK Support, I’m currently in the process of getting my “new” python workflow up to speed. My second problem, after dependency and environment management, was that fancy REPLs like ipython or ptpython don’t jazz well with the standard comint based inferior python repl that comes with python-mode. One can basically only run ipython with the... - Source: dev.to / about 2 years ago

• Wanting to learn how to code, but completely lost.

  Third, if possible use a command line interpreter to test things out. I recommend ipython for this purpose. You can use your browser's developer console this way if you are learning Javascript. Source: about 3 years ago

• IJulia: The Julia Notebook

  IJulia is an interactive notebook environment powered by the Julia programming language. Its backend is integrated with that of the Jupyter environment. The interface is web-based, similar to the iPython notebook. It is open-source and cross-platform. - Source: dev.to / over 3 years ago

• How to "end" a loop in the REPL?

  Also, take a look at installing iPthon to give you a much richer shell environment. This underpins Jupyter Notebooks, so is well known, proven and trusted. Source: over 3 years ago