Apache Cassandra
CPython
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Apache Cassandra | CPython | |
---|---|---|
35 | 1303 | |
8,480 | 59,047 | |
0.9% | 1.7% | |
9.9 | 10.0 | |
about 20 hours ago | 3 days ago | |
Java | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Apache Cassandra
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How to Choose the Right MQTT Data Storage for Your Next Project
Apache Cassandra{:target="_blank"} is a highly scalable and fault-tolerant database that can handle large volumes of data across multiple nodes or clusters. It provides fast read and write operations, making it suitable for real-time analytics or applications with high throughput requirements.
- 10+ Open-Source Projects For Web Developers In 2023
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Database 101: Data Consistency for Beginners
Wide Column: Apache Cassandra, ScyllaDB and DynamoDB
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In One Minute : Hadoop
Cassandra, a replicated, fault-tolerant, decentralized and scalable database system.
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Build Your First App with JavaScript, Node.js, and DataStax Astra DB
A popular database you might already be familiar with is Apache Cassandra®, which powers high-performing applications for thousands of companies including Hulu, Netflix, Spotify, and Apple. While this free, open-source database is known for its high availability, scalability, and resilience; the downside is that it’s also notoriously complex to set up and manage.
- Reducing logging cost by two orders of magnitude using CLP
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Baeldung Series Part 2: Build a Dashboard With Cassandra, Astra and CQL – Mapping Event Data
In our previous article, we looked at augmenting our dashboard to store and display individual events from the Avengers using DataStax Astra, a serverless DBaaS powered by Apache Cassandra using Stargate to offer additional APIs for working with it.
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System Design: CAP theorem
Example: Apache Cassandra, CouchDB.
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Deploy a TikTok Clone with Node.js, Netlify, and DataStax Astra DB
For our TikTok database, we’re using DataStax Astra DB: a cloud-based database that fully manages Apache Cassandra®, one of the most robust and scalable NoSQL databases around.
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System Design: The complete course
Data partitioning in Apache Cassandra.
CPython
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How to Develop a User Data Storage Registration Form Using Python.
When working in Visual Studio Code (VS Code), start by creating a new Python file for your registration form project. It's helpful to have separate files for different parts of your project.
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Open source at Fastly is getting opener
Through the Fast Forward program, we give free services and support to open source projects and the nonprofits that support them. We support many of the world’s top programming languages (like Python, Rust, Ruby, and the wonderful Scratch), foundational technologies (cURL, the Linux kernel, Kubernetes, OpenStreetMap), and projects that make the internet better and more fun for everyone (Inkscape, Mastodon, Electronic Frontier Foundation, Terms of Service; Didn’t Read).
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C++ Safety, in Context
In my understanding, no. I believe it was bpo-4489 [1], and I couldn't find a matching advisory from the PSF's database [2] which should contain all historical advisories as well.
- The GIL can now be disabled in Python's main branch
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Eloquent JavaScript 4th edition (2024)
How do you mean? CPython uses karatsuba's for large numbers which should be asymptotically fast
https://github.com/python/cpython/blob/d864b0094f9875c5613cb...
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Top Paying Programming Technologies 2024
24. Python - $78,331
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What is really an API? Examples, Code + History
a. Setting Up: Make sure you have Python and pip (package installer) installed. If you do not have Python, you can install the latest version from the Python ecosystem here
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How to make a turtle racing game in Python
First, if you don't have Python installed on your machine, go to python.org to download the latest version of Python and then install it right away.
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PySimpleGUI 4 will be sunsetted in Q2 2024
You missed that they gave an example that does work—Java Swing is bundled with the JVM, making it more or less part of the standard library. Python itself also has Tkinter, which exists inside the cpython repo and is installed with Python [0].
C++ may not work, but most other languages (especially VM-based) can and many do.
[0] https://github.com/python/cpython/blob/3.12/Lib/tkinter/__in...
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Memray – A Memory Profiler for Python
I collected a list of profilers (also memory profilers, also specifically for Python) here: https://github.com/albertz/wiki/blob/master/profiling.md
Currently I actually need a Python memory profiler, because I want to figure out whether there is some memory leak in my application (PyTorch based training script), and where exactly (in this case, it's not a problem of GPU memory, but CPU memory).
I tried Scalene (https://github.com/plasma-umass/scalene), which seems to be powerful, but somehow the output it gives me is not useful at all? It doesn't really give me a flamegraph, or a list of the top lines with memory allocations, but instead it gives me a listing of all source code lines, and prints some (very sparse) information on each line. So I need to search through that listing now by hand to find the spots? Maybe I just don't know how to use it properly.
I tried Memray, but first ran into an issue (https://github.com/bloomberg/memray/issues/212), but after using some workaround, it worked now. I get a flamegraph out, but it doesn't really seem accurate? After a while, there don't seem to be any new memory allocations at all anymore, and I don't quite trust that this is correct.
There is also Austin (https://github.com/P403n1x87/austin), which I also wanted to try (have not yet).
Somehow this experience so far was very disappointing.
(Side node, I debugged some very strange memory allocation behavior of Python before, where all local variables were kept around after an exception, even though I made sure there is no reference anymore to the exception object, to the traceback, etc, and I even called frame.clear() for all frames to really clear it. It turns out, frame.f_locals will create another copy of all the local variables, and the exception object and all the locals in the other frame still stay alive until you access frame.f_locals again. At that point, it will sync the f_locals again with the real (fast) locals, and then it can finally free everything. It was quite annoying to find the source of this problem and to find workarounds for it. https://github.com/python/cpython/issues/113939)
What are some alternatives?
RustPython - A Python Interpreter written in Rust
Druid - Apache Druid: a high performance real-time analytics database.
ipython - Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
LevelDB - LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
Vulpix - Fast, unopinionated, minimalist web framework for .NET core inspired by express.js
Scylla - NoSQL data store using the seastar framework, compatible with Apache Cassandra
Visual Studio Code - Visual Studio Code
delta - An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
Apache HBase - Apache HBase
Event Store - EventStoreDB, the event-native database. Designed for Event Sourcing, Event-Driven, and Microservices architectures
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CouchDB - Seamless multi-master syncing database with an intuitive HTTP/JSON API, designed for reliability