In my projects, I work with several datafiles coming from various data sources. Hence, multiple python scripts need to be created and these scripts are dependent on each other for executions. Thus, Spyder is precisely what I require for my data analysis tasks where several scripts run together to meet my business requirements.

Mostly used for scientific computing, Spyder has a user-friendly GUI which provides features such as code completion, text highlighting and variable exploration. It is an open source tool which gives access to several scientific libraries to drive optimal model creation. It is generally used in projects where multiple python scripts refer each other.

One of the biggest drawbacks of Spyder is that it limited to Python programming language only. Similar to Jupyter notebooks, Spyder also cannot handle large datasets, and is always run on fixed RAM allocations. Thus, it requires more time to execute complex queries.

I am very much happy to start my coding practices with spyder because it was so interactive and I have learned more details on the coding part while using the tool. I used to play with the data doing different transformations and checking out. I always recommend to my juniors who are starting with python and data science-related practices.

Very first, I love the interactive console which enables me to execute line-to-line commands and check out the data transformations without the need to run whole scripts. I love the variable explorer pannel where we can see all the data loaded including the datatype, size, min/max values for images ...etc. The debugger also looks impressive where we can set up breakpoints to stop the code execution at any point. It has automatic indentation and I also love the extension "kite" which provides detailed syntax when required. Particularly for beginners, I strongly recommend spyder because of its interactive console you get all the details of every line execution.

It is a little slow when starting up the tool and I think the plots section can be more interactive when compared to VScode and a few others.

Although it is not suitable for production-related tasks, the best thing is it's free.

It helps me debug each code line interactively and run unit tests.

Limited to python only and the UI is not up to the mark

Overall, I think Spyder makes me productive with all of its features.

I like its seamless integration with python which makes it great for developing python scripts.

While it's good for writing python code in text files, I think it would be great to have support for other formats too like python notebooks.

It is a great help to develop apps and create new ways to analize your data.

You can import all your work from python and apply to a new interfase that helps to improve your work.

Sometimes when you download your apps trough windows CMD you need to reinstall all the libraries.