Best Books for Data Science

Reddit Comments Summary:

• "The Data Lab Cookbook" by Alton Brown is recommended for understanding the science of cooking.
  • "[Alton Brown] explains why techniques work and is a good primer for merging science and cooking."
• "Salt, Fat, Acid, Heat" by Samin Nosrat is suggested for understanding how flavors work in cooking.
  • "[The book] explains how foods and ingredients balance each other."
• "CookWise" by Shirley Corriher is mentioned for beginner's level food science understanding.
  • "[It] was the blueprint for Good Eats" by Alton Brown.
• "Ratios" by Michael Ruhlman is noted for providing Ratios on how to make foods.
• For learning coding and Python, users recommend Coursera courses like:
  • "Programming for Everybody (Getting Started with Python)"**
  • 1 user shared starting this course.
  • Another user mentioned a similar course on Coursera.
• “On Food and Cooking” by Harold McGee is recommended for understanding why cooking methods work.
• "The Food Lab" by J. Kenji López-Alt is suggested for the science of cooking.
  • "[Kenji] gets deep into the why of what he talks about."

Additional Insights:

• Users emphasized the importance of basic understanding of fundamental programming concepts, like SQL.
• It was mentioned that despite the fast-paced tech changes, fundamental concepts and SQL database knowledge remain crucial.
• The importance of soft skills, collaborative work, and building good relationships with coworkers was highlighted.
• Users appreciated pair programming for skill development but noted its time-consuming nature.
• The challenge of learning from coworkers while working remotely was acknowledged.
• Documentation skills were mentioned as essential for engineers, with a recommendation for the website: https://www.plainlanguage.gov/guidelines/ for better documentation practices.

This summary provides a range of book recommendations, online course suggestions, and key insights from Reddit comments on the best books for data science and related skills.