WinPython VS NumPy
Compare WinPython VS NumPy and see what are their differences
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives.
featured
WinPython
Portable Python
PyCharm
Anaconda
Python
Thonny
Wing IDE
Spyder
NumPy
Pandas
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
WinPythonBased on our record, NumPy should be more popular than WinPython. 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.
STEP 1: Python on Windows What to install Download and install WinPython from https://winpython.github.io. I researched Python on Windows and in very short order understood that WinPython is the way to go. While it’s stated audience is scientists, data scientists and education, it fully serves the needs of personal projects. Also, it is available as a portable distribution with no requirement to register with... - Source: dev.to / 22 days ago
How can I use the portable version of winpython from https://winpython.github.io to configure into qbittorrent to detect the runtime pre-requisites so that my portable qbittorent search can work? Thx in advanced. #portablepython. Source: about 1 year ago
You equally are barred from e.g., WinPython which can work without an installation into the OS, too? Then - mechanically speaking - it wouldn't matter that the USB ports are permanently plastered with some polymer. Source: about 1 year ago
Thank for answering. I understand that the interpreter situation can be annoying. There is WinPython [0] to circumvent that to some degree. I feel like if I don’t do it the „VSCode and py-file“ way, it’ll be more and more difficult to keep everything together when teaching about modularity and putting functions in helper scripts, putting tests in other directories and such. I think it’s just because I got used to... - Source: Hacker News / about 1 year ago
One option would be to use a portable Python runtime. Like this one: https://winpython.github.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 / 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 / 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
Portable Python - Minimum bare bones portable python distribution with PyScripter as development environment.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Anaconda - Anaconda is the leading open data science platform powered by Python.
OpenCV - OpenCV is the world's biggest computer vision library