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Articles

Ready, Set, Go!

An interactive guide to get started with numba.

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pandas.read_csv()

3 Solid Reasons Why You Should Use pandas.read_csv()

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PEP 634

Structural Pattern Matching (PEP 634) in Python

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Projects

blurhash-numba

Fastest BlurHash implementation for Python 3

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titus2

Portable Format for Analytics (PFA) implementation for Python 3.4+

Documentation »

orange3-scoring

🍊🎯 Score PMML and PFA models in Orange3

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Featured Talks

Pyjamas Conf 2020

Supercharge Your Python Code with Numba

Video »

Talk

PyData Global, PyCon Sweden & PyDay BCN 2020

Accelerating Scientific Computing using Numba

Video »

Talk

GeoPython & PyML 2020

Democratizing Machine Learning Model Development

Video & Slides »

Talk

PyCon India 2019

Real World Numba: Taking the Path of Least Resistance

Video »

Talk

Other Talks / Workshops

PyCon Estonia 2020

Supercharging Python with Numba

Slides »

Talk

PyCon Estonia 2020

Deploying Python Apps on Streamlit

Slides »

Lightning Talk

GeoPython & PyML 2020

An Enlightening Talk on Numba

Slides »

Lightning Talk

SciPy India 2019

Accelerating Data Science & Scientific Computing in Python using Numba

Workshop

PyCon India 2019 &
SciPy India 2018

Deploying Machine Learning Models at the Edge

Workshop

SciPy India 2017

Scientific Computing using Orange

Workshop

PyCon India 2017

Making Machine Learning Fruitful & Fun Using Orange

Workshop


Ankit Mahato

I am a die hard Pythonista, an open source contributor and a former GSoC scholar under Python Software Foundation. With more than 8 years of industrial and research experience in scientific computing, machine learning and data visualization, I have developed an expertise in handling the entire data analytics pipeline comprising – ingestion, exploration, transformation, modeling and deployment.