D (Programming Language)
C++
Nim (programming language)
Go Programming Language
V (programming language)
Crystal (programming language)
Perl
Zig
NumPy
Pandas
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
D (Programming Language)Based on our record, NumPy should be more popular than D (Programming Language). 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.
Show examples on the main web page. Try and find an AngelScript example. It's stupidly hard. Compare it to these web sites: https://dlang.org/ https://koka-lang.github.io/koka/doc/index.html https://vale.dev/ http://mu-script.org/ https://go.dev/ https://www.hylo-lang.org/ Sadly Rust fails this too but at least the Playground is only one click away. And Rust is mainstream anyway so it doesn't matter as much. I... - Source: Hacker News / 7 months ago
>and D The D language, that is. https://dlang.org. - Source: Hacker News / 10 months ago
You are both right it seems. GP seems to have omitted withour GC. Number one on your list could be Dlang no? Not affiliated. https://dlang.org/. - Source: Hacker News / 10 months ago
Check out D. It has Turing-Complete templates with specialised static if, static foreach, version, and debug constructs, all as statements and declarations, as well as more general quasiquoting expressions and declarations with mixin (yes, that is the same as Ruby's, Python's or PHP's eval, but at compile-time; in fact you can import() files at compile-time too and write a compiler in user code that compiles... Source: 10 months ago
According to dlang.org, D declarations go right to left:. Source: about 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 / 6 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
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Nim (programming language) - The Nim programming language is a concise, fast programming language that compiles to C, C++ and JavaScript.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Go Programming Language - Go, also called golang, is a programming language initially developed at Google in 2007 by Robert...
OpenCV - OpenCV is the world's biggest computer vision library