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Based on our record, NumPy should be more popular than CrateIO. It has been mentiond 107 times since March 2021. 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.
CrateDB - Distributed Open Source SQL database for real-time analytics. Free Tier CRFREE: One-node with 2 CPUs, 2 GiB of memory, 8 GiB of storage. One cluster per organization, no payment method needed. - Source: dev.to / 3 months ago
Not necessarily argmin{}, but it appears as one of top download in crate.io. Again, that's just a suggestion. VarPar seems like a subset of bigger "optimization", but I might be wrong. I am not affiliated to argmin{} at all. I am still learning argmin{} and have not even get my first optimization to run properly. Do I want to learn new workflow again ... hmm.. A search in crate.io for "optimization" yield tons... Source: about 1 year ago
I really, really don't understand what the big deal with Rust is. I like to call Rust "LLVM's Python". It's a language for people who don't know how to debug segfaults lol. This is coming from me a person who loves Rust, despite all its faults, I believe if used as a low-level language, it can flourish to hell and back. But if you are going to use it as a webframework and load dozens of crate.io libraries on it,... Source: about 1 year ago
There's 3 more errors that amount to the same thing. So I run cargo update. Same result. Explicitly tried to update cfg-if then rand_core with --verbose and --aggressive. No output beyond "updating crate.io index." Checked in browser for updates. cfg-if had no new versions since 2018. Then I tried using cargo clean first. Same result. Source: about 1 year ago
However, I do say that my general points still holds: most user's composing their types will get the right defaults and if they need anything more exotic, the users and domain specialist can very easy coordinate via crate.io . Source: over 1 year ago
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 2 months ago
Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / 2 months ago
Numpy: A library for scientific computing in Python. - Source: dev.to / 5 months ago
Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 7 months ago
A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 7 months ago
PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Percona - Percona delivers software, support, consulting and managed services for both MySQL and MongoDB across traditional and cloud-based platforms.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
MySQL - The world's most popular open source database
OpenCV - OpenCV is the world's biggest computer vision library