G2

Manish S.

Data Analyst

Information Technology and Services

Enterprise (> 1000 emp.)

9/19/2024

"A Powerful Framework for Data Analysis"

4.5/5

What do you like best about PyTorch 0.3 Python 3.6 CPU Production?

As a Data Analyst, I love the flexibility and use it easily with its tensor-based operations. It can convert the data in tensors smoothly and can do complex math operations like statistical analysis. Using pytorch has the upside of handling large datasets and providing a smooth workflow for analysis. Review collected by and hosted on G2.com.

What do you dislike about PyTorch 0.3 Python 3.6 CPU Production?

What I dislike about it is that it doesn't do much with text data and the downside of using Pytorch is that it lacks built-in tools for non-numerical data and learning the advanced operation can be very difficult. Review collected by and hosted on G2.com.

What problems is PyTorch 0.3 Python 3.6 CPU Production solving and how is that benefiting you?

I use it to manipulate data and ease the mathematical operations for complex statistical analysis of student and faculty data of my organization as it could be difficult to do without it. Also, it speeds up the data analysis tasks for large datasets which saves a lot of my time. Review collected by and hosted on G2.com.