Python datatable is the newest package for data manipulation and analysis in Python. It carries the spirit of R’s data.table with similar syntax. It is super fast, much faster than pandas and has the ability to work with out-of-memory data. Looking at the performance it is on path to become a must-use package for data […]
Tag Archives: Data Manipulation
101 Pandas Exercises for Data Analysis
101 python pandas exercises are designed to challenge your logical muscle and to help internalize data manipulation with python’s favorite package for data analysis. The questions are of 3 levels of difficulties with L1 being the easiest to L3 being the hardest. You might also like to practice the 101 NumPy exercises, they are often […]
Numpy Tutorial Part 2 – Vital Functions for Data Analysis
Numpy is the core package for data analysis and scientific computing in python. This is part 2 of a mega numpy tutorial. In this part, I go into the details of the advanced features of numpy that are essential for data analysis and manipulations. [container] [columnize] 0. Introduction 1. How to get index locations that […]
Numpy Tutorial Part 1 – Introduction to Arrays
This is part 1 of the numpy tutorial covering all the core aspects of performing data manipulation and analysis with numpy’s ndarrays. Numpy is the most basic and a powerful package for scientific computing and data manipulation in python. [container] [columnize] 1. Introduction to numpy 2. How to create a numpy array? 3. How to […]
