Anaconda vs. Microsoft Visual Studio Code

As a Data Analyst, it is my job to analyze large datasets using complex mathematical models. Anaconda provides a one-stop destination with tools like PyCharm, Jupyter, Spyder, and RStudio. One case where it is well suited is for someone who has just started his/her career in this field. The ability to install Anaconda requires zero to little skills and its UI is a lot easier for a beginner to try. On the other hand, for a professional, its ability to handle large data sets could be improved. From my experience, it has happened a lot that the system would crash with big files.

Incentivized

Microsoft Visual Studio Code is highly recommended for the development of systems and / or complex applications entrusted to work teams under a specific methodology, and its use is also recommended for the maintenance of previously developed applications.

It is not recommended as a learning environment for developers with little experience as the learning curve would be too high

Incentivized

• It provides easy access to software like Jupyter, Spyder, R and QT Console etc.
• Easy installation of Anaconda even without much technical knowledge.
• Easy to navigate through files in Jupyter and also to install new libraries.
• R Studio in Anaconda is easy to use for complex machine learning algorithms.

Incentivized

• Very accessible -- it's compatible with all platforms and environments, free to install, and fast to open
• Strong native support for many languages, and very strong extensibility to provide advanced language features
• Git integration is top-notch, often displaying a better history, diff, and merge interface that is otherwise available in version control systems

Incentivized

• Although I have generally had positive experiences with Anaconda, I have had trouble installing specific python libraries. I tried to remedy the solution by updating other packages, but in the end, things got really messed up, and I ended up having to uninstall and reinstall a total of about 4 times over the past 2 years.
• If you have the free version of Anaconda, there is not much support. Googling questions and error messages are helpful, but there were times when I wished I would have been able to ask technical support to help me troubleshoot issues.
• There were a few times when I tried to install tensorflow and tensorboard via Anaconda on a PC, but I could not get them to install properly. Anaconda allows you to create 'environments' , which allow you to install specific versions of python and associated libraries. You can keep your environments separate so they do not conflict with one another. Anyway, I ended up having to create several 'conda envrionments' just so I could use tensforflow/tensorboard and a few other utilities to avoid errors. This was somewhat annoying, because every time I wanted to run a specific model, I'd have to open up the specific conda environment with the appropriate python libraries.

Incentivized

• Lack of button bar like ones found in Visual Studio.
• Lack of integrated help that could link to YouTube, Channel 9, or other Microsoft videos on how to learn about features.
• Integration with Team Foundation Server.
• Would like to see it having some sort of integration into a Web API testing harness.

Incentivized

It's really good at data processing, but needs to grow more in publishing in a way that a non-programmer can interact with. It also introduces confusion for programmers that are familiar with normal Python processes which are slightly different in Anaconda such as virtualenvs.

Incentivized

Solid tool that provides everything you need to develop most types of applications. The only reason not a 10 is that if you are doing large distributed teams on Enterprise level, Professional does provide more tools to support that and would be worth the cost.

Incentivized

The interface is an easy to use command-line interface, or a GUI for launching and/or discovering different parts of the system.

Incentivized

This is a tool for programmers and it works like many others. If you are in the development world already then you will be sailing in no time with Microsoft Visual Studio Code. It is also great for new developers and it is very easy to use and you can get all the tools you need in one place as you begin to learn.

Incentivized

Anaconda provides fast support, and a large number of users moderate its online community. This enables any questions you may have to be answered in a timely fashion, regardless of the topic. The fact that it is based in a Python environment only adds to the size of the online community.

Incentivized

Active development means filing a bug on the GitHub repo typically gets you a response within 4 days. There are plugins for almost everything you need, whether it be linting, Vim emulation, even language servers (which I use to code in Scala). There is well-maintained official documentation. The only thing missing is forums. The closest thing is GitHub issues, which typically has the answers but is hard to sift through -- there are currently 78k issues.

Incentivized

ANACONDA VS Alteryx Analytics: Even though I find Alteryx to be an excellent tool for managing extremely massive data, Anaconda is much better and easy for analytics. Anaconda VS. MicroStrategy Analytics: Compared with Anaconda, MicroStrategy Analytics is very difficult to use and counter-intuitive Anaconda VS. Power BI For Office 365: One of the main advantages of BI for Office 364 is its capacity to data connectivity. However, it's very hard to edit data connections, once BI for Office is deployed in other platforms

Incentivized

[Microsoft] Visual Studio Code beats the competition due to its extensibility. Their robust extensions architecture combined with the plethora of mostly free extensions written by the community can't be beaten. The fact that this tool itself is provided by a world-recognized company, Microsoft, free of charge is phenomenal. The goodwill garnered by them is immeasurable. Other tools I've used were missing features or were just too rigid, too complicated, or too unsophisticated for my liking. The fact that VS Code is easy to mold to my will with the right extensions seals the deal.

Incentivized

• Positive: Lower maintenance cost compared to other tools on the market
• Positive: Ease in hiring professionals already accustomed to the tool in the job market
• Positive: Projects are portable, allowing you to share projects with others and execute projects on different platforms, reducing deployment costs

Incentivized

• Positive impact on minimizing time wasted by employees with software installation and setup
• Positive impact on reducing spend on software licensing
• Positive impact on minimizing time used to manage different applications for different purposes - this performs all of the functions we need in basic coding

Incentivized