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In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / about 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 / about 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
Unittest is a built-in module of Python. It’s inspired by the xUnit framework architecture. This is a great tool to create and organise test cases in a systematic way. You can use unittest.mock with pytest when you need to create mock objects in your tests. The unittest.mock module is a powerful feature in Python’s standard library for creating mock objects in your tests. It allows you to replace parts of your... - Source: dev.to / about 2 months ago
Unittest is Python's built-in testing framework. Django extends it with some of its own functionality. - Source: dev.to / 3 months ago
After looking through the various unit testing tools available for Python like pytest, unittest (built-in), and nose, I went with pytest for its simlpicity and ease of use. - Source: dev.to / 6 months ago
Like I said above, I chose the UnitTest framework because it is built into Python, which should make things easier for contributors as it reduces the number of libraries they need to install in order to get started on the program. I also have a little experience with reading the syntax for the library due to a Data Structures and Algorithms class I took in a previous semester, where my professor had us write data... - Source: dev.to / 6 months ago
Python has had tests and a cli that discovers them since 3.2 https://docs.python.org/3/library/unittest.html >>Test Discovery¶. - Source: Hacker News / 6 months ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
pytest - Javascript Testing Framework
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Rumprun - The Rumprun unikernel and toolchain for various platforms - rumpkernel/rumprun
OpenCV - OpenCV is the world's biggest computer vision library
RSpec - RSpec is a testing tool for the Ruby programming language born under the banner of Behavior-Driven Development featuring a rich command line program, textual descriptions of examples, and more.