Description:

Numpy is the core for everything math and science in Python. Having a good understanding of Numpy under your belt will open the doors to being able to write high performance Python code for any scientific application. Numpy is also great if you just want a powerful container for your data.

In this talk I will talk about -

• Some NumPy characteristics
• History of NumPy
• NDArray
• Features of Numpy Arrays (with code)
• Why Numpy works so well
• When can you use NumPy

Prerequisites:

Basic knowledge of Python.

Content URLs:

Link to talk material

Speaker Info:

I'm a Research Engineer at Zero Labs, Inc. I work on writing algorithms for speech recognition and cognition using C++, Python and OpenGL. I have hand on experience developing Neural Networks from scratch to run on GPUs. I extensively use Python for data analysis and testing. In my spare time I enjoy contributing the the Python community. This will be my first time participating in a PyCon and I look forward to becoming a stronger part of the Python community.

Speaker Links:

• Github
  • Kirit Thadaka