Awesome Python

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The Awesome Python feed

Saving memory with Pandas 1.3’s new string dtype

When you’re loading many strings into Pandas, you’re going to use a lot of memory. If you have only a limited number of strings, you can save memory with categoricals, but that’s only helpful in a limited number of situations.

With Pandas 1.3, there’s a new option that can save memory on large number of strings as well, simply by changing to a new column type.

Article Added by: itamarst // pythonspeed.com

How To Calculate Stocks Support And Resistance Using Clustering

The tutorial is a step by step guide to teach how to calculate Stock Support and Resistance using Clustering techniques with Python.

Tutorial Added by: jamreludhi // www.nbshare.io

Engineering ML Pipelines - Part Two

Second in a series of articles demonstrating how to engineer and deploy a ML pipeline. This part focuses on developing the pipeline: automating model-training, serving the latest model, handling errors, writing tests and reusing code across projects.

Tutorial Added by: AlexIoannides // www.bodyworkml.com

The Unknown Features of Python’s Operator Module

Make your code faster, concise, more readable and more functional with help of Python’s little known operator module

Article Added by: MartinHeinz // towardsdatascience.com

3 Ways to Implement Python Switch Case Statement

Learn about 3 ways to implement a python switch case statement with syntax or code.

Article Added by: codypeltz41 // favtutor.com

Prim's Algorithm | Minimum Spanning Tree (Python Code)

Understand prim's algorithm and how it is used to find minimum spanning tree. Also, learn prim's algorithm python implementation.

Article Added by: codypeltz41 // favtutor.com

Efficient Pagination in Django and Postgres

This article walks through 3 different methods for pagination with Django and Postgres and explains their benefits and tradeoffs so you can decide which one is the best fit for your application.

Article Added by: manualwise // pganalyze.com