4 Reasons Why Developers Should Learn Python
What Python Unlocks for Developers
Automation
Script file processing, API integrations, and workflow automation in far fewer lines than other languages.
Data Science
pandas and NumPy turn Python into a powerful data analysis tool for any developer.
Machine Learning
TensorFlow, PyTorch, and scikit-learn run on Python, making ML accessible to software engineers.
DevOps
Ansible, Fabric, and AWS CDK use Python for infrastructure automation and configuration management.
Noble Desktop's Python for Data Science Bootcamp is ideal for developers looking to expand into data, automation, and machine learning.
For the last few years, Python has been the most popular coding language learned at educational institutes. Statistics reveal that Python has become popular in a number of other settings as well as reflected by the following:
- In 2018, the IEEE Spectrum ranked Python its top programming language of the year ahead of C++ and Java.
- A study conducted by StackOverflow in 2017 found that Javascript is the fastest growing programming language among those already in everyday use.
After reading these facts, you might wonder why so many programmers have decided to learn and favor Python. The answer is that mastery of Python offers several advantages that cannot be found with other programming languages.
Key Takeaways