Performance of numpy and pandas — comparison

Common mistakes when implementing algorithms with python and efficiency analysis of common methods in pandas and numpy.

Introduction

There seems to be no data science in Python without numpy and pandas. (This is also one of the reasons why Python has become so popular in Data Science). However, dumping the libraries on the data is rarely going to guarantee the performance. So what’s wrong?