Surviving Without Python

Python is not the only “fish in the sea” - there are several good languages and frameworks out there that are awesome in their own right. And as software people, whether we are web developers, data scientists, or some other role, we probably won’t spend 100% of our work using Python. It’s inevitable. Web dev relies on JavaScript. Data scientists often use R and Scala. Backends frequently use C# and Java. Success as a modern software engineer requires inter-domain proficiency.

Personally, even though I love Python, I don’t use it daily at my full time job. Nevertheless, Pythonic thinking guides my whole approach to software. I will talk about how the things that make Python great can be applied to non-Python places in three primary ways:

  1. Principles from the Zen of Python
  2. Projects that partially use Python
  3. People who build strong, healthy community

Python is such a popular language for good reason: Its principles are strong. However, if Python is “the second-best language for everything”… that means the first-best is often chosen instead. Oh no! How can Pythonistas survive a project or workplace without our favorite language? Take a deep breath, because I’ll show you how to apply things that make Python great to other software spaces.

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Further reading about Python

Complete Python Bootcamp: Go from zero to hero in Python 3

Machine Learning A-Z™: Hands-On Python & R In Data Science

Python and Django Full Stack Web Developer Bootcamp

Complete Python Masterclass

Python Tutorial - Python GUI Programming - Python GUI Examples (Tkinter Tutorial)

Computer Vision Using OpenCV

OpenCV Python Tutorial - Computer Vision With OpenCV In Python

Python Tutorial: Image processing with Python (Using OpenCV)

A guide to Face Detection in Python

Machine Learning Tutorial - Image Processing using Python, OpenCV, Keras and TensorFlow

PyTorch Tutorial for Beginners

#python #web-development #data-science #machine-learning #deep-learning

Surviving Without Python
27.50 GEEK