- Python Weekly
- Posts
- Python Weekly (Issue 359 - August 9 2018)
Python Weekly (Issue 359 - August 9 2018)
Python Weekly - Issue 359Â
Python Weekly
Welcome to issue 359 of Python Weekly. Let's get straight to the links this week.
From Our Sponsor
Do you participate in Kaggle coding competitions? Take advantage of the built-in, performance optimized scikit-learn in the free
for your complex data analytics challenges. Switch to a faster python and get incredible speedups!
News
Articles, Tutorials and Talks
This article is a quick tutorial for implementing a surveillance system using Object Detection based on Deep Learning. It also compares the performance of different Object Detection models using GPU multiprocessing for inference, on Pedestrian Detection.
In this post, we are going to dive into the land of portfolio optimization. We will use fancy tools around the Python ecosystem, Financial Risk Modeling and a bit of Machine Learning to build a crypto portfolio optimizer.
In this Python dictionaries tutorial you'll cover the basic characteristics and learn how to access and manage dictionary data. Once you have finished this tutorial, you should have a good sense of when a dictionary is the appropriate data type to use, and how to do so.
A simpler solution for a complicated problem.
This tutorial demonstrates how to integrate Python applications with MySQL database server. It focuses on accessing the MySQL database, perform data insertion, data retrieval, data update and data deletion, transaction management, connection pooling and error handling techniques to develop robust python programs with MySQL
In this tutorial we’ll extract, munge and analyse the gpx data of one single route in a Jupyter Notebook with Python. We’ll start with extracting the data from the gpx-file into a convenient pandas dataframe. From there we’ll explore the data and try to replicate the stats and graphs that the interface of our favorite running application provides us with.
This article will demonstrate how to use Python and Flask API to create a predictive machine learning architecture.
Multi-document transactions arrived in MongoDB 4.0 in June 2018. To demonstrate transactions in the wild we use a trivial example app that emulates a flight booking for an online airline application.
Tracking the movement of a finger is an important feature of many computer vision applications. In this application, A histogram based approach is used to separate out the hand from the background frame. Thresholding and Filtering techniques are used for background cancellation to obtain optimum results.
When prefetch_related() no longer cuts it.
Seaborn release 0.9 contains several new plot types as well as other updates described in this article.
Python Jobs of the Week
Opendoor is on a mission to make home buying and selling instant and hassle free. Having raised over $300M, we're looking for a software engineer to join our data infrastructure team. As a Software Engineer on Data, you will play a critical role in the transformation of the real estate industry by creating high fidelity structured data at scale. See if you're a good match for our roles
and instantly get an interview! (Make sure you select Opendoor as one of your desired companies)
We are working on tons of exciting projects spanning client interfaces, stylist tools, elastic search, and payment and order processing. Our “secret sauce” is a deep data system to support client-stylist match and machine-learning driven recommendations on clothing and looks. Our tech-stack is mainly composed of Python/Django, Redis, Docker, Celery and is hosted on AWS. We’re looking for someone excited to join a small, early-stage team where he/she can be a critical part of designing and building out this critical infrastructure.
Interesting Projects, Tools and Libraries
dbt (data build tool) is a command line tool that enables data analysts and engineers to transform data in their warehouse more effectively.
Each program fits in a single tweet (280 chars or less) and does something useful, powerful or fun. These programs will serve a reference, inspire and delight. In most cases, but not always, the code is Pythonic, without any obfuscation or code golfing. These programs serve as a testament to Python’s power, conciseness and clarity.
A python package for animating plots build on matplotlib.
Arabic root finder with neural nets!
Open-source, feature rich & extensible url shortener + Analytics.
A CLI client for Slack.
A simple to understand, easy to use, highly customizable GUI for Python. Based solely on tkinter. Make your own GUIs. Runs on Raspberry Pi too.
HeapHopper is a bounded model checking framework for Heap-implementations.
A model fitting library for PyTorch.
A class that uses scraped proxies to make an http GET/POST request (Python requests).
A machine learning dashboard that displays hyperparameter settings alongside visualizations, and logs the scientist's thoughts throughout the training process.
Upcoming Events and Webinars
There will be following talks
Will there be a tornado today? Classification with Scikit-Learn
Data science and predictive policing
Machine Learning for Gamers: Dungeon Forecasts & Dragon Regressions
A series of short talks, so far including "Python For Micro Controllers" and "Pytest for Database Assets".
Our Other Newsletters
- A free weekly newsletter featuring the best hand curated news, articles, tools and libraries, new releases, jobs etc related to NoSQL.
- A free weekly newsletter for entrepreneurs featuring best curated content, must read articles, how to guides, tips and tricks, resources, events and more.