11 Ways to Make #python a Dangerous Language For Data Science
▻https://hackernoon.com/11-ways-to-make-python-a-dangerous-language-for-data-science-cc51e0dea1a
People are still crazy about Python after twenty-five years,which I find hard to believe.WordCloudPython has numerous applications — web development, desktop GUIs, software development, business applications and scientific/numeric computing. In this series we will be focusing on how to use numeric computing in Python for data science and ML.This is not a comprehensive Python tutorial but instead is intended to highlight the parts of the language that will be most important to us(some of which are often not the focus of Python tutorials).In this tutorial, we will be looking at the following basic features of Python :Whitespace FormattingPython function3. Data types and sequences4. Date and time5. Lambda6. Map7. Filter8. Reduce9. Zip10. For loop11.Control Flow12. List comprehension1.Whitespace (...)
#dangerous-data-science #python-data-science #data-science #machine-learning