Upwork Reviews

1. Sandra-G

   almost 2 years ago
   Upwork is unmatched

   Although this app, sometimes gets me to my worst... I think it's only fair to call them the best work from home site.

NumPy Reviews

Upwork mentions (330)

• I was an actual shill for 9 months, AMA

  If you are learning web development, goto upwork.com and start doing projects. Your old projects & code is a lot more valuable than some references from a company. Source: 6 months ago

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• Almost got scammed AGAIN within 2 weeks of first scam

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• Remodel App?

  I recommend upwork.com. Load your project, people from around the bid on it. I have had great experience every time I use it. Source: 12 months ago

NumPy mentions (112)

• Essential Deep Learning Checklist: Best Practices Unveiled

  How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 4 days ago

• Documenting my pin collection with Segment Anything: Part 3

  NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / 4 days ago

• Awesome List

  NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 9 days ago

• NumPy for Beginners: A Basic Guide to Get You Started

  This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 11 days ago

• 2 Minutes to JupyterLab Notebook on Docker Desktop

  Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 9 months ago