Anaconda

Pros: The best thing I like about the software is that it helps to develop the code for software. It provides the environment for python coding and R programming. Also, this tool gives the easy output generating option where you can easily debug the code if there's any error.

Cons: Nothing is said to be least about this software. It's a best software in the market.

Overall: Overall experience is superb as it helps me to develop the software with the help of Python and also implement Machine learning algorithms.

Pros: If you are a Python developer then you would surely came across Anaconda once in your journey. The pros that I find with Anaconda is the tools it provides. Basically it fulfills all your requirements. Also managing and installing packages is also very simple with anaconda. It is best for Data analysts and Data scientists.

Cons: The only con that I found was that it is a bit heavy software and turns on my system fan every time I uses it.

Overall: Overall it helped me a lot with my development journey. And made my life much more easy by saving a lot of time. It is one the the must software that you should use if you are in development.

Pros: You can all sort of the DevOps work with ease and in a single place.
It is powerful and very easy to use.
It gives you generic options.

Cons: It is best for development.
It has a separate workplace for a particular type of development.

Overall: It gives you a workplace to do your work with ease and lets you make a lot of work with ease. It is best for development.

Pros: You can do nearly any ML work via anaconda using python.
It supports all kinds of algorithms and helps a lot of plugins to make development seamless.

Cons: It needs a lot of space on your local drive as well as a ram. It has vast applications but could hang if the hardware is not up to mark.

Overall: It is fast and does every kind of work needed for python related development, from ML to artificial learning. It is easy to use and compatible with all devices.

Pros: You can do any Python development on Anaconda. You can integrate your project written in Python and use ML tools to develop it accordingly. It is compelling and fully feature-packed.

Cons: It does not work perfectly on a computer with low hardware specification due to the features it has. It is huge in size.

Overall: If you are a Python developer, you must know about anaconda and how to use it. It shows how much it is used in industry due to the performance and its potential of working on day to day new and advanced technology.

Pros: This is probably the best Python IDE right now. You can use it for basic python programming, machine learning projects, python notebooks, etc. It is easy to use. Managing packages and libraries with this is very easy and also it is free of cost.

Cons: There is no cons of using this product but it is a bit heavy software.

Overall: Overall my personal favourite software for python development. Also it can be integrated with Visual Studio code which makes development more easy and seamless.

Pros: Finding and installing python libraries and frameworks is very easy with this software.
And the most liked feature of mine is the python notebooks.
Comes with different tools for Data science, AI and ML.

Cons: It is a bulky software and while using this the fans starts working.

Overall: Overall I am very much satisfied with this software and use kite with this which will help you a lot to easily and quickly complete your tasks by its suggestions.

Pros: Anaconda's somehow become an essential part of my repertoire. There's the Jupyter notebook, which I use anytime I wish to examine my data structures and data frames, and manipulate matrixes. There's the conda package manager, which comes in handy when trying to use different cutting edge research github repositories (seriously, some of these use wildly different package versions of OpenCV, Keras, Tensorflow, and whatnot... thank goodness you can just stick it all in a custom conda environment for each project).

Cons: Anaconda broke when I updated my Macbook Pro's Operating System last year. I forget if it was Mojave or the one before or after, but around that time. Massive pain in the ass, needing to copy files around or reinstall. Something to do with how Apple changed their shared folder security settings.

Overall: Anaconda offers access to a supremely powerful set of tools that feel indispensable in the ML/DS space. You can use Jupyter Notebooks to debug matrix heavy math in fields like electrical engineering too.

Pros: (+) Integration with most of the python based developer tools. All of those tools can be found within anaconda like Spyder, Jupyter notebooks, and many more.
(+) Great UI and UX. The interface is quite good.
(+) All of the latest python packages can be found easily. Support to the old and latest version of python.

Cons: (-) The application takes a bit to start but it's very fast in terms of execution.
(-) Installing many libraries also slows the application down.
(-) It has some bugs but I hope most of them get resolved soon.

Overall: Though anaconda provides a lot of python applications I have only used Jupyter Notebooks and Spyder IDE. The application takes a bit of time to launch but once when it is started it goes on smoothly.

Most of the basic packages are preinstalled with anaconda and other latest packages can be downloaded at your fingertips easily. One thing that I have experienced is that on installing a lot of packages the application becomes a bit slow. As anaconda is free of cost it's a define recommendation for any organization or individual.