| | How to Run Your Python Scripts This step-by-step tutorial guides you through a series of ways to run your Python scripts and programs, depending on your environment, platform, needs, and skills as a programmer. REAL PYTHON
x86 vs ARM for Web Crawling in Python Compares the performance of a Python web scraper running on x86 and ARM servers. Which one will be cheaper in $ per million pages scraped? Interesting writeup! JAMES MAWSON
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Aligning the First Line of a Triple-Quoted String in Python Nice little formatting tip for triple-quoted strings. WORDALIGNED.ORG
Python’s str.isdigit vs str.isnumeric “If you ever wondered how a language that claims to have one obvious way to do it can have multiple seemingly identical methods… well, now you know!” REUVEN LERNER
Creating a Custom User Model in Django This post explains step-by-step how to create a custom User model in Django. MICHAEL HERMAN
The Men Fighting Florida’s Python Epidemic More proof that Python is taking over the world… 1843MAGAZINE.COM
How & Why Cities and Dates Are Selected for PyCon “Selecting a city and dates for PyCon a is process that usually takes about 6 months and involves many layers.” PYCON.BLOGSPOT.COM
Discussions Containers Are 8 Bytes Smaller on Python 3.8 RAYMOND HETTINGER
Some Lessons From 16+ Years of Development REDDIT
Python Coding Challenges You Had to Do During the Interviewing Process? REDDIT
Just Noticed That the Code in “Ralph Breaks the Internet” Is in Python REDDIT
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Articles & Tutorials Supercharge Your Classes With Python’s super() In this step-by-step tutorial, you will learn how to leverage single and multiple inheritance in your object-oriented application to supercharge your classes with Python’s super() function. REAL PYTHON
Deploying Python ML Models With Flask, Docker And Kubernetes How to deploy Machine Learning (ML) models into production environments by exposing them as RESTful API microservices hosted from within Docker containers, that are in-turn deployed to a cloud environment. ALEX IOANNIDES • Shared by Alex Ioannides
The Ultimate Guide to Data Science Interviews Ready to learn more about data science interviews and find out everything you need to know to rock it in your next interview? Download Springboard’s 90-page Ultimate Guide to Data Science Interviews and go from a job hunt to accepting an offer. SPRINGBOARDsponsor
Creating Python Functions Dynamically at Run-Time PHILIP TRAUNER
Jump Out of the Jupyter Notebook With nbconvert How to easily convert notebooks to Python scripts and sharable files with nbconvert . JEFF HALE
Load Testing Python Web Applications Short & sweet example of how to perform a basic load test of your Python web app using Locust. PRAKHAR MISHRA
Test & Code #65: One Assert Per Test Is it ok to have more than one assert statement in a test? In this episode Brian discusses where this recommendation came from, what the reasons for it are, and what potential downsides could be. Recommended listening if you write a lot of tests. BRIAN OKKEN podcast
Monte Carlo Simulation With Python How to use Python with Pandas and NumPy to build a Monte Carlo simulation to predict the range of potential values for a sales compensation budget. This approach is meant to be simple enough that it can be used for other problems you might encounter but also powerful enough to provide insights that a basic “gut-feel” model can not provide on its own. CHRIS MOFFITT
Parsing Hidden HTML With Selenium Headless Mode & Heroku How to scrape hidden (or JS-generated) HTML with Selenium. PYBITES
Building a Better Profanity Detection Library With Scikit-Learn Why the author found existing libraries uninspiring and how he went about building a better solution. VICTOR ZHOU
How to Replicate Google Maps Distance Using Python and SQL Finding the distance between two points based on Latitude and Longitude, using Python and SQL. KANOKI.ORG
Projects & Code clusterfuzz: Scalable Fuzzing Infrastructure ClusterFuzz is a scalable fuzzing infrastructure which finds security and stability issues in software. GITHUB.COM/GOOGLE
ludwig: Toolbox Built on Top of TensorFlow A toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code. GITHUB.COM/UBER
Locust: Scalable Load Testing Framework Written in Python LOCUST.IO
Vocab: Lightweight Online Dictionary CLI GITHUB.COM/MCKINSEY666
heart: Plotting Hearts With Python GITHUB.COM/SUSAM
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