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Data science tool
What do you like best about the product?
I have been using anaconda for the last 2 to 3 years, and I love it the most because almost all required libraries for data science are available in it. Easy to create a notebook for a data science project and easy to use too
What do you dislike about the product?
I wouldn't say I like this because The application takes a lot of time to load the first time. Sometimes, it stops working because it consumes more ram, and if you have pc with low specification, it will not work in that.
What problems is the product solving and how is that benefiting you?
I solve problem-related to the real-world I do my analytical stuff in it via using python and R, and I also make some machine learning models to get more accuracy in my project and I learn a lot using it.
One of the Best IDE for data science
What do you like best about the product?
Packages related to data science come with Anaconda. Easy to install packages, creating virtual environments. One of the best IDE for beginners. Either R or Python can be choosen to code.
What do you dislike about the product?
There are not many things I dislike about. It only consumes too much RAM, but it does not have to be related to the application. Data science projects can sometimes have large data sets.
What problems is the product solving and how is that benefiting you?
I work on data science projects. When I am working on a project, and I do need to install a couple of packages, it lets me create my virtual environment and install the packages on it quickly.
Amazing for individuals, paid for teams
What do you like best about the product?
1) Software: I always love one-stop-shop options, whether shopping or software. Anaconda does this best. You install one software and forget about others.
2) GUI: It is pretty intuitive, and terminal integration in Macs is fantastic. I use it on a day-to-day basis for Python, specifically Jupyter notebook. I don't think anyone downloads Jupyter notebook as a standalone software now.
2) GUI: It is pretty intuitive, and terminal integration in Macs is fantastic. I use it on a day-to-day basis for Python, specifically Jupyter notebook. I don't think anyone downloads Jupyter notebook as a standalone software now.
What do you dislike about the product?
There is nothing to dislike in general, but if I have to nitpick, I would say that the "Paid" option for open source software is a little far-fetched. I understand that they are providing services for the amount they are charging, but paid software for free software still doesn't make sense. At least to me.
What problems is the product solving and how is that benefiting you?
I generally use it for Jupyter Notebook. As mentioned earlier, I don't think anyone has downloaded Jupyter notebook as standalone software. Anaconde is a whole package. Sometimes, I use it for Python as well. I prefer to use Rstudio for R programming.
Recommendations to others considering the product:
Please make sure that your IT department gives you proper rights to update the packages and inherited software otherwise it will be a long process.
Data Scientist Product
What do you like best about the product?
There are many programming tools, and with the library management itself, it is so powerful and easy to use and understand. The community itself on this tool are incredibly welcoming, and release notes can be handled very well
What do you dislike about the product?
With many tools in it, if you are a starter to learn this product. You could be misguided to discover your path along the way. It also comes with a box of stuff and their library system, so it is quite slow, and choosing the best version for building a product can get messy.
What problems is the product solving and how is that benefiting you?
Growing business on the data itself. The product helps with the data manipulation and add meaning to the data to get some answers for the future of business and how you can prevent some causes
Recommendations to others considering the product:
If you choose a path to data science, this is the best tool you can get. There is an excellent community to help you with the product itself, and you can learn from the web also. The community creates so many libraries to help you with building a product.
Anaconda is the best distribution manager for python IDE and packages related to data science.
What do you like best about the product?
Anaconda provides one solution for Python IDE like Jupyter Notebook, spider, etc. and packages related to data science.
What do you dislike about the product?
There is no such thing which I dislike for Anaconda.
What problems is the product solving and how is that benefiting you?
I design and develop deep learning applications using Anaconda package.
Its an Absolutely amazing product as it empowers a developer to use his full potential with ease.
What do you like best about the product?
The ease with which we can use it for Python, Powershell, etc., the Anaconda Spyder editor, the Anaconda Powershell Console (Refer screenshots). The learning part is very exhaustive as it helps one to get familiar with it through the extensive learning paths it provides.
What do you dislike about the product?
Since I have been using this product I haven't seen any cons.
What problems is the product solving and how is that benefiting you?
I am an Automation Architect, and hence I need proficient tools like Anaconda to help me develop intelligent automation for my Professional projects.
Best application/IDE used ever for python programming
What do you like best about the product?
It is one of the best IDE which is also an open source and very easy to install and freely available over the web.
Best thing I like is that it has pre loaded most of the libraries, so we don't need to add explicitly.
It has easy access to Data science libraries which makes our work more easy and fast. We have best debugging feasibility available with proper logging and steps that can help developers to have proper understanding and design application in more simpler effort.
Best thing I like is that it has pre loaded most of the libraries, so we don't need to add explicitly.
It has easy access to Data science libraries which makes our work more easy and fast. We have best debugging feasibility available with proper logging and steps that can help developers to have proper understanding and design application in more simpler effort.
What do you dislike about the product?
Sometimes I personally felp that Anaconda doesn't support a large data sets which creates a big problem to me. Due to this computation using a large data sets are getting more complex and hard to work with.
Other than this I like this application most of whatever i have used before.
Other than this I like this application most of whatever i have used before.
What problems is the product solving and how is that benefiting you?
We can have easy and simple development of python based application or softwares using this IDE/platform. It has proper debugging based tool which helps developer to debug code in more simpler and faster way and thus total time itilized to develop a software or application can be fast whenever we goes with this application.
Recommendations to others considering the product:
One can have this application if going to have best experience while developing or design any software specially based on python programming.
It has all the thing which a developer can look for into it. You can have handly available pre liaded libraries, so no need to add it explicitly which is the best in while using Anaconda.
It has all the thing which a developer can look for into it. You can have handly available pre liaded libraries, so no need to add it explicitly which is the best in while using Anaconda.
Best for Data Scientists
What do you like best about the product?
It has much more software enclosed within it like Spyder, Jupyter notebook, etc. Also, the UI is also very clean and user-friendly. It is best suitable for Python and R Developers who are into data science and machine learning. Also, package management is also very simple with anaconda.
What do you dislike about the product?
There is not much to dislike about this software. But sometimes it makes the system slow as data science projects are huge and also anaconda. Also, it also consumes a lot of RAM.
What problems is the product solving and how is that benefiting you?
It saves a lot of time for me and also makes tedious data science projects easy to handle and work upon. Also, it can generate nice graphs and data analysis.
Best Python and R Distribution.
What do you like best about the product?
Anaconda's different applications support such as jupyter notebook,jupyterlab , spyder,vs code, Rstudio are the best for the use of python coding.
The support of different applications make it awesome.Coding is very easy, it is user friendly, anyone can code on it even if we are a new programmer.
The support of different applications make it awesome.Coding is very easy, it is user friendly, anyone can code on it even if we are a new programmer.
What do you dislike about the product?
Anaconda is the best platform for python coding. The best thing is the Jupyter notebook. The interface of Jupyter notebook should be improved a bit so that users can interact with the app easily. They should enhance the UI part more.
What problems is the product solving and how is that benefiting you?
Anaconda is a python distributor, mainly used for data science. Anaconda Navigation is a GUI tool, with the help of that, We can launch Jupyter Notebook, which is used primarily for python coding and data science purpose. I am using Anaconda for solving data science programming. It is the best platform to code for data science as the output is beautiful in graphs and data analytics.
Python with Anaconda -> works wonderous!
What do you like best about the product?
If you are a budding data scientist and code in Python or R, let me tell you there's no better alternative to Anaconda. Anaconda provides all the necessities you would be requiring to develop and deploy a project in Python/R. It has a wide range of Development environments, notebooks, and IDEs to work in. I strongly suggest Anaconda to all my fellowships who intend to learn or in their data scientist journey.
What do you dislike about the product?
I have been using Anaconda for a year now, and honestly, I haven't yet found anything that I would like to change. Anaconda is the perfect hub for all data science aspirants!
What problems is the product solving and how is that benefiting you?
I am a data science enthusiast. I have been using Anaconda since the start of my journey. I use most of the Development environments under Anaconda like Jupyter Lab, and write my python codes on Jupyter notebook when it comes to Machine Learningor Deep Learning. I like how Anaconda saves me from the hassle of downloading multiple softwares. Anaconda also provides all the relevant documents. Another major thing I like about Anaconda is that it has a powerful and active community. So if I get stuck anywhere, I can put up my questions in the discussion forum.
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