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Best distribution for Jupiter notebook
What do you like best about the product?
Anaconda comes with the Jupiter notebook, and a few packages which enable the user to develop python related scripts and extensive data set analysis and training model data for machine learning concepts.
What do you dislike about the product?
While training a huge dataset using the conda environment, it becomes slower than the independent version and some times training job hangs with courrupted kernal in jupiter note book.
What problems is the product solving and how is that benefiting you?
Training machine learning model using the dataset, predict big-data probabilities and install python packages to conda environment.
Ease to visualize with Anaconda.
What do you like best about the product?
Anaconda is the tool you'll need to install to find the easiest way to navigate different environments when dealing with data science and ML applications, starting with coding, debugging, and ending with multidimensional data visualization.
What do you dislike about the product?
I have not encountered any issues despite using the tool for at least two years. Easy to install, and the documentation is very detailed. However, there is always room for improvement.
What problems is the product solving and how is that benefiting you?
Running different versions of multiple packages can be overwhelming. Anaconda comes in handy; it is not only a package manager but also an environment manager. It helps ensure that each package version has all the dependencies required and works correctly.
Not for the beginners, best for the production.
What do you like best about the product?
You can use the same environment for multiple projects. This becomes especially helpful when you work on multiple similar projects or you have multiple copies of the same project on your machine.
What do you dislike about the product?
It may be a bit hard for beginners to understand how to operate. It offers so many features to the users that they may get confused about which to use for a particular use case.
What problems is the product solving and how is that benefiting you?
Anaconda is trying to reduce the hassle for the Python Developers to maintain multiple environments, and be a single source of all their coding needs. It is also trying to create an interactive UI for the developers for plotting purposes, and find relations between various parameters of a dataset.
Pros and cons for anaconda
What do you like best about the product?
The best thing I like is it gives a variety of environments for different languages and tech stacks like spyder, Jupyter notebook, and R studio.
This software helps me to develop my python programming and helps me to import all libraries easily in my project.
The user interface is very simple without any complexity to understand
Generation of output is very easy
On and all its best software
This software helps me to develop my python programming and helps me to import all libraries easily in my project.
The user interface is very simple without any complexity to understand
Generation of output is very easy
On and all its best software
What do you dislike about the product?
There is nothing said to be least useful about this software
On and all its best software in different projects
On and all its best software in different projects
What problems is the product solving and how is that benefiting you?
Anaconda has helped me to develop my software and my different project versions.
Importing new libraries and easily reviewing the debugs has helped me a lot.
Jupyter notebook has many tools like toggle number which helps in understanding the line code
Importing new libraries and easily reviewing the debugs has helped me a lot.
Jupyter notebook has many tools like toggle number which helps in understanding the line code
Recommendations to others considering the product:
Highly Recommended
Good resource to create the virtual environment for the python
What do you like best about the product?
Do not need to install the virtual environment with a command line and also no need to write the command for installing the python packages.
What do you dislike about the product?
Sometimes I am not able to install the python packages from the anaconda so I use to need pip commands like wheel package.
What problems is the product solving and how is that benefiting you?
No need to write the commands and also anaconda provides lots of IDE like spyder and all. Also a user-friendly interface for the new users and easy to install.
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.
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.
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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