Item: Anaconda
Rating: 8
Author: Jay Thakkar

Use Cases and Deployment Scope

Anaconda is mainly used for Python programming like data science and computer vision script.
Advance mathematics operation is easily done by Anaconda.
I mostly used Jupyter Notebook and Spyder.
It makes it easy to script in python through the user interface of Anaconda software.
Accessing libraries of python through Anaconda is easy and efficient.

Pros and Cons

User interface is simple and easy to use.
Making the Jupyter notebook is great because that is a very great tool to run python script line by line for learning purposes.
We can easily access files and folder through it.
Auto suggesting in code is great of Spyder.

Anaconda is taking much RAM of device which needs improvements.
Spyder is sometime crashing while running the application.
Git integration is not there which is require in Anaconda.

Most Important Features

Debugging of code is good feature.
Library installation is easy in Anaconda.
Memory management of files in Anaconda.

Return on Investment

Data processing is easy in Anaconda.
Taking much RAM is not right.
Overall it is good for data scientists.

Alternatives Considered

Microsoft Visual Studio Code, Notepad++ and Sublime Text

I have used many other tools for coding purposes.
But for python programming, the best fit tool is Anaconda.
Memory management is best in Anaconda.
The user interface is simple to compare to other tools.
We can know how many libraries are included and keep track of that.
Overall it is a great tool.

Key Insights

Do you think Anaconda delivers good value for the price?

Yes

Are you happy with Anaconda's feature set?

Yes

Did Anaconda live up to sales and marketing promises?

Did implementation of Anaconda go as expected?

Yes

Would you buy Anaconda again?

Yes

Other Software Used

Microsoft Visual Studio Code, Slack, Spark AR Studio

Likelihood to Recommend

Started with learning Python through Jupytor Notebook.
I have used Anaconda for image processing application making.
In which I have used Spyder and include many libraries of image processing.
Debugging of code made easy through it.
Auto suggestions in spyder are great to write code fast and efficiently.
You can observe the memory space required for your file through it.

Awesome tool for Data Scientists

Overall Satisfaction with Anaconda