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Resources for developers using Python for scientific computing and quantitative analysis

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Latest Resources in Python

Python

End to End Machine Learning: From Data Collection to Deployment ahmedbesbes.com

Published December 8, 2019 under Machine Learning

Python

Quant Finance Numerical Methods in Jupyter Notebooks github.com

Published November 28, 2019 under Quant Finance

This is a collection of Jupyter notebooks based on different topics in the area of quantitative finance. Wow!

Jupyter, Numerical Methods, Python

How to Implement Bayesian Optimization from Scratch in Python machinelearningmastery.com

Published October 14, 2019 under Machine Learning

Bayesian Optimization provides a principled technique based on Bayes Theorem to direct a search of a global optimization problem that is efficient and effective. It works by building a probabilistic model of the objective function, called the surrogate function, that is then searched efficiently with an acquisition function before candidate samples are chosen for evaluation on the real objective function.

Bayesian Analysis, Python

TensorFlow 2.0 Tutorial 01: Basic Image Classification lambdalabs.com

Published October 5, 2019 under Machine Learning

TensorFlow 2 is now live! This tutorial walks you through the process of building a simple CIFAR-10 image classifier using deep learning. In this tutorial, we will:

  • Define a model
  • Set up a data pipeline
  • Train the model
  • Accelerate training speed with multiple GPUs
  • Add callbacks for monitoring progress/updating learning schedules

The code in this tutorial is available here.

Python, TensorFlow

End To End Python Implementation Of Finding Optimised Efficient Investment Portfolios medium.com

Published September 27, 2019 under Investing

One of the milestones of the investment management application was to implement an end to end solution that starts by fetching company stock prices and builds a set of efficient and optimum portfolios using optimisation routines.

Python, Quant Finance

OpenCV – Stream video to web browser/HTML page pyimagesearch.com

Published September 7, 2019 under Data Science

In this tutorial you will learn how to use OpenCV to stream video from a webcam to a web browser/HTML page using Flask and Python.

Computer Vision, OpenCV, Python

Pandas Tutorial: Analyzing Video Game Data with Python and Pandas dataquest.io

Published August 30, 2019 under Data Science

Python’s pandas library is one of the things that makes Python a great programming language for data analysis. Pandas makes importing, analyzing, and visualizing data much easier. It builds on packages like NumPy and matplotlib to give you a single, convenient, place to do most of your data analysis and visualization work.

Numpy, Pandas, Python

How I got 75Gb of free foreign exchange tick data with Python towardsdatascience.com

Published August 10, 2019 under Trading

With Python code to scrape, extract, transform and load it into a HDF5 data store to please your future self.

Algorithmic Trading, FX, Python

Hands On Bayesian Statistics with Python, PyMC3 & ArviZ towardsdatascience.com

Published July 28, 2019 under Statistics

If you think Bayes’ theorem is counter-intuitive and Bayesian statistics, which builds upon Baye’s theorem, can be very hard to understand. I am with you.

There are countless reasons why we should learn Bayesian statistics, in particular, Bayesian statistics is emerging as a powerful framework to express and understand next-generation deep neural networks.

Bayesian Analysis, Pymc3, Python

Data School’s top 25 pandas tricks jupyter.org

Published July 19, 2019 under Data Science

What it sounds like 🙂

Pandas, Python

Keras ImageDataGenerator and Data Augmentation pyimagesearch.com

Published July 13, 2019 under Data Science

In today’s tutorial, you will learn how to use Keras’ ImageDataGenerator class to perform data augmentation. I’ll also dispel common confusions surrounding what data augmentation is, why we use data augmentation, and what it does/does not do.

Image Processing, Keras, Python

Python Machine Learning Tutorial: Predicting Airbnb Prices dataquest.io

Published July 13, 2019 under Data Science

Machine learning is pretty undeniably the hottest topic in data science right now. It’s also the basic concept that underpins some of the most exciting areas in technology, like self-driving cars and predictive analytics. Searches for Machine Learning on Google hit an all-time-high in April of 2019, and they interest hasn’t declined much since.

Python, Tutorial

An open-source Python library for building data applications medium.com

Published July 13, 2019 under Data Science

Today the team at Elementl is proud to announce an early release of Dagster, an open-source library for building systems like ETL processes and ML pipelines. We believe they are, in reality, a single class of software system. We call them data applications.

Python

Portable Computer Vision: TensorFlow 2.0 on a Raspberry Pi towardsdatascience.com

Published July 1, 2019 under Computer Vision

For roughly $100 USD, you can add deep learning to an embedded system or your next internet-of-things project.

Are you just getting started with machine/deep learning, TensorFlow, or Raspberry Pi? Perfect, this blog series is for you!

Data Science, Python, Raspberry Pi

Snagging Parking Spaces with Mask R-CNN and Python medium.com

Published July 1, 2019 under Computer Vision

But like in most cities, finding a parking space here is always frustrating. Spots get snapped up quickly and even if you have a dedicated parking space for yourself, it’s hard for friends to drop by since they can’t find a place to park.

My solution was to point a camera out the window and use deep learning to have my computer text me when a new parking spot opens up.

Data Science, Python

Artificial Intelligence Made Easy with H2O.ai towardsdatascience.com

Published June 18, 2019 under Machine Learning

A Comprehensive Guide to Modeling with H2O.ai and AutoML in Python

AutoML, H2O.ai, Python

Text Analysis in Python to Test a Hypothesis dataquest.io

Published June 3, 2019 under Machine Learning

People often complain about important subjects being covered too little in the news. One such subject is climate change. The scientific consensus is that this is an important problem, and it stands to reason that the more people are aware of it, the better our chances may be of solving it. But how can we assess how widely covered climate change is by various media outlets? We can use Python to do some text analysis!

NLP, Python

An Introduction to Convolutional Neural Networks victorzhou.com

Published May 23, 2019 under Neural Networks

There’s been a lot of buzz about Convolution Neural Networks (CNNs) in the past few years, especially because of how they’ve revolutionized the field of Computer Vision. In this post, we’ll build on a basic background knowledge of neural networks and explore what CNNs are, understand how they work, and build a real one from scratch (using only numpy) in Python.

AI, Convolutional NN, Python

Exploring Stock Price Movements After Major Events medium.com

Published May 19, 2019 under Trading

This post will go through the process of gathering and cleaning this data followed by an exploratory analysis examining price trends and the impact of events on prices using data from the IEX API and scraped events from financial news sites.

API, IEX, Python, Quant Trading

Understanding PyTorch with an example: a step-by-step tutorial towardsdatascience.com

Published May 15, 2019 under Machine Learning

PyTorch is the fastest growing Deep Learning framework and it is also used by Fast.ai in its MOOC, Deep Learning for Coders and its library. PyTorch is also very pythonic, meaning, it feels more natural to use it if you already are a Python developer.

Python, PyTorch

When to ‘Buy the Dip’ towardsdatascience.com

Published April 26, 2019 under Trading

“Buy the dip” — it’s a frustratingly simple piece of advice. Like most pieces of advice, it’s easier said than done and the giver of such advice has probably not attempted to practice what they preach. It induces FOMO, which leads to the “hope trade”, when the “hope trade” goes awry you’re stuck as the “long term investor” who “really believes in the company’s mission”.

Markov Models, Python, Volatility

OpenCV-Python Cheat Sheet: From Importing Images to Face Detection fritz.ai

Published April 21, 2019 under Machine Learning

Cropping, Resizing, Rotating, Thresholding, Blurring, Drawing & Writing on an image, Face Detection & Contouring to detect objects. All Explained.

Computer Vision, OpenCV, Python

How to Automate Tasks on GitHub With Machine Learning for Fun and Profit towardsdatascience.com

Published April 19, 2019 under Machine Learning

A tutorial on how to build a GitHub App that predicts and applies issue labels using Tensorflow and public datasets.

Python, TensorFlow

PyTorch Sentiment Analysis github.com

Published April 19, 2019 under Machine Learning

Tutorials covering how to do sentiment analysis using PyTorch 1.0 and TorchText 0.3 using Python 3.7.

The first 2 tutorials will cover getting started with the de facto approach to sentiment analysis: recurrent neural networks (RNNs). The third notebook covers the FastText model and the final covers a convolutional neural network (CNN) model.

Data Science, Python, PyTorch

Learning Python, 5th Edition

Published April 18, 2019 under Books

Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz’s popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. It’s an ideal way to begin, whether you’re new to programming or a professional developer versed in other languages.

Python

Data Science with Python explained towardsdatascience.com

Published March 30, 2019 under Data Science

Numpy, Python, scikit-learn, XGBoost

Quantitative Economics with Python quantecon.org

Published February 6, 2019 under Data Science

Econometrics, Julia, Python, Quant Finance

Algorithmically Detecting (and Trading) Technical Chart Patterns with Python medium.com

Published February 2, 2019 under Trading

Algorithmic Trading, Python

Using the latest advancements in deep learning to predict stock price movements towardsdatascience.com

Published January 22, 2019 under Machine Learning

GAN, LTSM, Python, Time Series Analysis

Stochastic Strategy Backtest using Python and REST API quantnews.com

Published January 10, 2019 under Trading

Algorithmic Trading, Backtesting, Python

A very simple framework for state-of-the-art NLP github.com

Published January 6, 2019 under Machine Learning

NLP, Python, PyTorch

Keras Conv2D and Convolutional Layers pyimagesearch.com

Published January 3, 2019 under Computer Vision

Keras, Machine Learning, Python

Homemade Machine Learning github.com

Published December 31, 2018 under Machine Learning

Python

How to use Keras fit and fit_generator (a hands-on tutorial) pyimagesearch.com

Published December 31, 2018 under Machine Learning

Keras, Python, Tutorial

Building and Testing Recommender Systems With Surprise, Step-By-Step towardsdatascience.com

Published December 31, 2018 under Machine Learning

Python, Recommenders, Surprise

Image Stitching with OpenCV and Python pyimagesearch.com

Published December 20, 2018 under Machine Learning

Computer Vision, OpenCV, Python

Keras – Save and Load Your Deep Learning Models pyimagesearch.com

Published December 16, 2018 under Computer Vision

Keras, Machine Learning, Python

Michelangelo PyML: Introducing Uber’s Platform for Rapid Python ML Model Development uber.com

Published December 16, 2018 under Data Science

Machine Learning, Python, Uber

Estimating Probabilities with Bayesian Modeling in Python

Published December 6, 2018 under Data Science

Bayesian Analysis, Pymc3, Python

Managing data science projects in S3  quiltdata.com

Published December 6, 2018 under Data Science

AWS, Python, Quilt, S3

Seaborn Library for Data Visualization in Python stackabuse.com

Published December 6, 2018 under Data Science

Data Visualization, Python, Seaborn

Deep Learning and Medical Image Analysis with Keras pyimagesearch.com

Published December 6, 2018 under Computer Vision

Keras, Machine Learning, Python

9 obscure Python libraries for data science https://opensource.com/article/18/11/python-libraries-data-science

Published November 22, 2018 under Data Science

Python

Scikit-learn Tutorial: Machine Learning in Python dataquest.io

Published November 22, 2018 under Machine Learning

Python, scikit-learn

Beginner tutorial: Build your own custom real-time object classifier towardsdatascience.com

Published November 20, 2018 under Computer Vision

Machine Learning, Python

Building Production PySpark Jobs medium.com

Published October 11, 2018 under Machine Learning

Apache Spark, PySpark, Python

Keras vs. TensorFlow pyimagesearch.com

Published October 11, 2018 under Data Science

Keras, Machine Learning, Python, TensorFlow

Pandas Crosstab Explained pbpython.com

Published October 11, 2018 under Data Science

Pandas, Python

How To Determine The Ripeness Of Watermelon With Keras medium.com

Published September 30, 2018 under Machine Learning

Computer Vision, Keras, Python

Working with Data Feeds marksblogg.com

Published September 30, 2018 under Data Science

Big Data, Python

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