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2015-slides

Slides and talk assets from PyCon 2015

500lines

500 Lines or Less

advanced-datascience

It consists of all the code examples discussed as part of advanced data analytics course taken at Algorithmica

advanced-top20

It consists of all code examples of advanced top-20(problem solving) course taken at algorithmica across all years

algo_practice

applied-deep-learning-with-pytorch

Demystify neural networks with PyTorch

architectural-patterns

It consists of all code examples discussed as part of architectural patterns course taken at algorithmica

asdf

Hello

async-await-jetbrains-webcast

asyncio-recipes

Source Code for 'asyncio Recipes' by Mohamed Mustapha Tahrioui

clib

The Standard C Library source code by P.J. Plauger

concurrencylive

Code from Concurrency Live - PyCon 2015

concurrent

Some code developed as part of the Python Concurrency Workshop

cpython

The Python programming language

datascience

It consists of examples, assignments discussed in data science course taken at algorithmica.

deep-learning

It consists of all code examples discussed as part of deep learning course taken at algorithmica

design-patterns

It consists of all code examples discussed as part of design patterns course at algorithmica

dlvcnptel

Tutorials for DLVC NPTEL MOOC

ensemble-machine-learning-cookbook

Ensemble Machine Learning Cookbook, published by Packt

epijudge

EPI Judge - Preview Release

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fastai

The fastai deep learning library, plus lessons and and tutorials

flask

The Python micro framework for building web applications.

generators

Generator Tricks for Systems Programmers (Tutorial)

hadoop-bigdata

It consists of all code examples of hadoop course taken at algorithmica

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

it-ebook

lectures

Code shown in the lectures

lsbasi

Let's Build A Simple Interpreter

machine-learning

Some sample programs