Everything you need to know to get started with NumPy

Source : The Ultimate Beginner’s Guide to NumPy – Towards Data Science

This post is based on a talk I recently gave to my colleagues about Airflow.

Source : Data pipelines, Luigi, Airflow: everything you need to know

If you’ve built any back end system in your life, you would know that there is always a need for running period tasks.

Source : An elegant way to run periodic tasks in python – GreedyGame Engineering – Medium

Source : Getting Started — Luigi 2.8.9 documentation

I saved a lot of time automating ssh & scp tasks using python. This story shows you how I did that.

Source : Save Time by Automating SSH and SCP Tasks with Python

requests-html for human

Source : requests-html for human | KeZunLin’s Blog

This article has all the basics you need to get started with Computer Vision.

Source : Computer Vision Using OpenCV – DZone AI

How to plan your code so imports are clear and clean

Source : Complete Guide To Imports In Python: Absolute, Relative, And More | Python For The Lab

This tutorial explains the basics of TensorFlow 2.0 with image classification as the example. 1) Data pipeline with dataset API. 2) Train, evaluation, save and restore models with Keras. 3) Multiple-GPU with distributed strategy. 4) Customized training with callbacks

Source : TensorFlow 2.0 Tutorial 01: Basic Image Classification

Pythons xlwings is a tool that allows you to use Python code to control and analyze data in Excel spreadsheets. This tutorial will help you get started.

Source : xlwings Tutorial: Make Excel Faster Using Python – Dataquest