Android Studio might be a bit more popular than NumPy. We know about 157 links to it since March 2021 and only 107 links to NumPy. 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.
Android Studio & SDK tools, IDE used for building and testing Android apps and used to create a TV app emulator. - Source: dev.to / 26 days ago
Android Studio or IntellijIDEA (configured for Android development) installed and working in your machine. - Source: dev.to / about 1 month ago
You can download Android Studio from their official website and install it. - Source: dev.to / about 2 months ago
Make sure you have an IOS or Android simulator installed with XCode or Android Studio and start the mobile app dev server. - Source: dev.to / 2 months ago
Make sure your Android Studio is up to date, as Jetpack Compose requires the latest tooling support. You can download the latest version of Android Studio from the Android Developer official website. - Source: dev.to / 4 months 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 / 3 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
Microsoft Visual Studio - Microsoft Visual Studio is an integrated development environment (IDE) from Microsoft.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Xcode - Xcode is Apple’s powerful integrated development environment for creating great apps for Mac, iPhone, and iPad. Xcode 4 includes the Xcode IDE, instruments, iOS Simulator, and the latest Mac OS X and iOS SDKs.
OpenCV - OpenCV is the world's biggest computer vision library
IntelliJ IDEA - Capable and Ergonomic IDE for JVM
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.