Anaconda provides access to the foundational open-source Python and R packages used in modern AI, data science, and machine learning. These enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness open-source for competitive advantage and research. Anaconda also provides enterprise-grade security to open-source software through the Premium Repository.
$0
per month
PhpStorm
Score 9.5 out of 10
N/A
JetBrains supports PhpStorm, an integrated development environment (IDE).
I have asked all my juniors to work with Anaconda and Pycharm only, as this is the best combination for now. Coming to use cases: 1. When you have multiple applications using multiple Python variants, it is a really good tool instead of Venv (I never like it). 2. If you have to work on multiple tools and you are someone who needs to work on data analytics, development, and machine learning, this is good. 3. If you have to work with both R and Python, then also this is a good tool, and it provides support for both.
PhpStorm is well suited for any project that utilizes PHP. I have used it on Windows, Ubuntu, and Mac OS and it works great on all those platforms. Having a solution that keeps the developer from having to constantly switch tools to do their job is invaluable. Whether you're a junior developer, front end engineer or a senior developer, PhpStorm is a great product that will help you get your work done.
Anaconda is a one-stop destination for important data science and programming tools such as Jupyter, Spider, R etc.
Anaconda command prompt gave flexibility to use and install multiple libraries in Python easily.
Jupyter Notebook, a famous Anaconda product is still one of the best and easy to use product for students like me out there who want to practice coding without spending too much money.
Database browsing, Remote host browsing, and all the deep seated customizations for both the UI and Technical feasability are the result of an amazing integrity and compatibility with most components and technologies.
The built-in shell is insanely helpful for traversing code in order to debug scripts with ease, and the plug-in system makes this software quite extensible.
Not to mention the variety of options and settings (divided into global settings and per-project settings) are both intuitive & easy to use, especially the fact that I can export and import them across my workstations while maintaining my spacing & indentation, highlighting, inspection patterns and syntax styling.
I used R Studio for building Machine Learning models, Many times when I tried to run the entire code together the software would crash. It would lead to loss of data and changes I made.
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.
I am giving this rating because I have been using this tool since 2017, and I was in college at that time. Initially, I hesitated to use it as I was not very aware of the workings of Python and how difficult it is to manage its dependency from project to project. Anaconda really helped me with that. The first machine-learning model that I deployed on the Live server was with Anaconda only. It was so managed that I only installed libraries from the requirement.txt file, and it started working. There was no need to manually install cuda or tensor flow as it was a very difficult job at that time. Graphical data modeling also provides tools for it, and they can be easily saved to the system and used anywhere.
PhpStorm is very easy to use, once you get the hang of it. It can take a while to get the hang of it because there's so many options, some of which are buried in the imposing settings panel. It could use some help with multi-cursor, especially multi-file editing but that's a minor gripe.
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.
The JetBrains community is all about helping others succeed, even in the most obscure setups. I have never had a question go unanswered, or I have never been able to come up with empty results in searching for the answer. My questions or concerns are typically address from other users in the community, so timing is pretty quick for a response
I have experience using RStudio oustide of Anaconda. RStudio can be installed via anaconda, but I like to use RStudio separate from Anaconda when I am worin in R. I tend to use Anaconda for python and RStudio for working in R. Although installing libraries and packages can sometimes be tricky with both RStudio and Anaconda, I like installing R packages via RStudio. However, for anything python-related, Anaconda is my go to!
Easier to use, more features, more reliable. Much more purpose built with specific integrations aimed directly at php code instead of the broad generic interfaces the other software have that are aiming to support many different languages.
It has helped our organization to work collectively faster by using Anaconda's collaborative capabilities and adding other collaboration tools over.
By having an easy access and immediate use of libraries, developing times has decreased more than 20 %
There's an enormous data scientist shortage. Since Anaconda is very easy to use, we have to be able to convert several professionals into the data scientist. This is especially true for an economist, and this my case. I convert myself to Data Scientist thanks to my econometrics knowledge applied with Anaconda.
PhpStorm decreased the time to market of new features - we are following the Agile SCRUM methodology with 2 weeks sprints. Using PhpStorm helped with releasing UI features even faster than 2 weeks.
Considering the price of the license and the cost of the server where we run it, the ROI is still high due to less time spent by developers with writing code, debugging, refactoring etc. Especially when you have highly paid developers.
Increased people's happiness - by using a modern tool with lots of features which has made their work easier.
