Explore the latest books of this year!
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KRISTIAN ROTHER

    Python for Data Analysis
    Pro Python Best Practices
    • Pro Python Best Practices

      • 264 pages
      • 10 hours of reading

      Learn software engineering and coding best practices to write Python code right and error free.

      Pro Python Best Practices2017
      4.0
    • Python for Data Analysis

      Data Wrangling with Pandas, Numpy, and Ipython

      • 550 pages
      • 20 hours of reading

      Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.

      Python for Data Analysis2015
      4.2