Microsoft Visual Studio
Xcode
IntelliJ IDEA
VS Code
Android Studio
Sublime Text
Eclipse
PyCharm
Exploratory
Scikit-learn
Pandas
NumPy
OpenCV
Dataiku
htm.java
Figure Eight
Microsoft Visual Studio
ExploratoryExploratory is recommended for business analysts, data analysts, academic researchers, and any professionals who need to perform data analysis but may not have an extensive programming background. Its intuitive design makes it a good fit for users looking to conduct in-depth data exploration without needing to write extensive code.
Based on our record, Exploratory should be more popular than Microsoft Visual Studio. It has been mentiond 6 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.
Visual Studio or Visual Studio Community Edition, depending on your licensing needs. - Source: dev.to / 4 months ago
There are practice problems in each section so that you can practice while learning from the content. These are in the 'Hands-On Practice' section in each section. Integrated Development Environments (IDEs) are tools that allow you to write your own programs. There are some great, free C++ IDEs out there like Visual Studio, Xcode, and CLion. The simplest way to get started is to use a web-based IDE. Replit works... - Source: dev.to / over 1 year ago
You also need Visual Studio 2022 Community Edition which you can get from visualstudio.microsoft.com. - Source: dev.to / over 1 year ago
Visual Studio has multiple versions and are priced differently based on your development needs. Visual Studio Community Edition is the free version recommended by Microsoft for individual needs. Other versions with more advanced features are paid for through subscriptions. These versions include Visual Studio Professional and Enterprise Edition. - Source: dev.to / almost 2 years ago
Visual Studio Community โ Fully-featured IDE with thousands of extensions, cross-platform app development (Microsoft extensions available for download for iOS and Android), desktop, web and cloud development, multi-language support (C#, C++, JavaScript, Python, PHP and more). - Source: dev.to / over 2 years ago
I'm a happy customer of https://exploratory.io/ - it's a very user-friendly interface on top of R and I think you might find it helpful. - Source: Hacker News / almost 4 years ago
If the goal here is becoming productive quickly, try https://exploratory.io/ which is a sort of WYSIWYG environment for R that will still let you code by hand if needed. No affiliation, just a happy customer for 2 years. - Source: Hacker News / about 4 years ago
Give https://exploratory.io/ a look. It's free/cheap. It's a nice easy GUI wrapper for R and just works. I stumbled across it a year ago and now use it daily. - Source: Hacker News / over 4 years ago
I'm not associated with the company, but I have used their product extensively and recommended it before. Is there a reason people do not recommend Exploratory Desktop compared to something like Tableau? It is free for public use, and can do almost anything Tableau does but faster: https://exploratory.io/. Source: over 4 years ago
I've been using https://exploratory.io/ a lot, which is r in a really nice wrapper where you can do everything point and click, by writing code by hand or a mix. - Source: Hacker News / over 4 years ago
Xcode - Xcode is Appleโs 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.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
IntelliJ IDEA - Capable and Ergonomic IDE for JVM
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
VS Code - Build and debug modern web and cloud applications, by Microsoft
NumPy - NumPy is the fundamental package for scientific computing with Python