I have used anaconda throughout my degree and I still use it in my work today. It has been a pleasant experience I was able to hit the ground running relatively quickly and use it for my professional needs.

As a Machine learning engineer I use all the time in my work for performing various tasks. I love the fact that I get to use all software in a single centralized unit. In it I can find my all the different IDEs and tools such as Spyder, Jupyter Notebook, Jupyter lab, R Studio.....etc. I find this extremely convenient. Aside from that it allows me to create multiple virtual environments with very minimal effort through its fantastic UI (user interface) which keeps the whole process relatively simple. I would absolutely recommend this product to any Machine learning engineer or Data scientist.

I dislike the idea that it has slow start-up time. It is noteworthy to say that it is not a major issue but never the less. It is slow to start-up. Other than that there is no major issue.

Anaconda Enterprise is a virtual environment manager which is one of the most widely used tool in the world today for data science. Many of its competitors have either lacked the variability and customer support (example R) or are still in its initial stage of capturing the worldwide market (example Dataiku - potential competitor). Anaconda supports python programming language but also integrates RStudio seamlessly. It also integrates MS SQL Server and Oracle databases, thus making it easier to execute SQL queries. Anaconda supports multiple data science/machine learning libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, etc. to perform various tasks such as statistical analysis, data mining, data exploration, feature engineering, and modelling.

Anaconda is a free and open source software which is extremely easy to install and carry out developer and analytics tasks. The Anaconda GUI is very user-friendly, whether it is the Spyder IDE, RStudio or the Jupyter Notebooks. Also, Anaconda integrates easily with other tools such as RStudio, Blue Prism RPA tool, etc. It has a vast network of supporting websites such as geeksforgeeks.com and stackoverflow.com that provides solutions to various complex issues in python/data science.

The major concern related to Anaconda is that it cannot handle large volumes of data. It takes a long time to upload large-sized datasets and computations consume too much RAM. Also, Anaconda does not provide the option to modify the processing speeds i.e. choosing GPU/TPU based on the runtime required for processing.

One of the main problem we were facing Early is that, we need downloaded and install many tools separately, that may consume much memory space. But now all the things are available in a single platform. Now things are much easy to work with. Anaconda provides all the basic features that are necessary for developers.

Anaconda provides a complete package for scripting, The main and important thing is that Everything for developing projects are available at a single place. Jupiter notebook, spider, etc. are some helpful and useful tools available in Anaconda. The tool itself is faster and more efficient than others.

I didn't find anything to dislike, But sometimes the tool crashes in between working and reloading takes much time. Anyway, the customer support is good that they reply to our queries faster without any delay.

When l first started learning python l didn't know what l would like to learn either basic python, data science, machine learning hence all l needed was a software which can cater for any needs since l have limited internet access to download and this software seemed to be all l needed

It has all ide for learning and programming with python hence a single download will cover all your python needs. It has both free and paid versions to cater for both enterprises and students who are interested in using python. Small file size Can run on low end systems without hindering quality

There is nothing that l least like about this software

if you are Beginner and Experience, To begin with, it is extremely simple to set up and use. You can start coding immediately after downloading Anaconda from the official website I usually code using Jupiter Notebook  Anaconda is less difficult to use than PyCharm. If I have small ventures, it is the best place for me. In comparison to PyCharm and other IDEs, Jupiter Notebook runs tasks much faster. Supported multiple Machine Learning libraries and Very easy to use. The best Thing About anaconda is it is free to use.

Whenever I Working with a huge amount of data it takes a bit more time to load and display the data. At first, it's a little sluggish. It would greatly improve the experience if it were a little quicker. Otherwise, I love using Anaconda.