NumPy
Pandas
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
Visual Studio Code
Atom
Sublime Text
Vim
Notepad++
Microsoft Visual Studio
IntelliJ IDEA
Node.js
Visual Studio CodeBased on our record, Visual Studio Code should be more popular than NumPy. It has been mentiond 1017 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.
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
An IDE or text editor; we'll use Visual Studio 2022 for this tutorial, but a lightweight IDE such as Visual Studio Code will work just as well. - Source: dev.to / 1 day ago
Choosing IDE: Selecting the right Integrated Development Environment (IDE) can make your coding experience smoother. Consider popular options like as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and configure it to work with Python. - Source: dev.to / 2 days ago
It all starts with the editor. Visual Studio Code (VS Code) is my go-to editor. I was using the Insider’s Edition for the longest time, but some extensions would try to log in and redirect to VS Code regular edition, so I decided to go back to it. That said, VS Code Insider's is very stable. - Source: dev.to / 3 days ago
Meanwhile, a developer workflow that does not require access to AWS Management Console may provide a better experience. As a developer, I appreciate having an integrated development environment (IDE) such as Visual Studio Code where I can code, deploy, and test in one place. - Source: dev.to / 3 days ago
Good to know: If you're a Visual Studio Code user, you can enhance your coding experience by installing the ESLint and Prettier extensions. These extensions provide real-time error and warning highlighting, as well as automatic formatting and code fixing on save. - Source: dev.to / 3 days ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Atom - At GitHub, we’re building the text editor we’ve always wanted: hackable to the core, but approachable on the first day without ever touching a config file. We can’t wait to see what you build with it.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Sublime Text - Sublime Text is a sophisticated text editor for code, html and prose - any kind of text file. You'll love the slick user interface and extraordinary features. Fully customizable with macros, and syntax highlighting for most major languages.
OpenCV - OpenCV is the world's biggest computer vision library
Vim - Highly configurable text editor built to enable efficient text editing