Pandas is one of the popular Python package for manipulating data frames. Pandas is built on top of NumPy and thus it makes data manipulation fast and easy. One of the most common things one might do in data science/data analysis is to load or read in csv file. Here we see 7 examples to […]
How to Use Lambda Functions in Python?
Python lets you create a function on the go, but without really assigning a name to the function. These “anonymous” functions are called “Lambda Functions”. One typically writes a lambda function on the fly, when one wants to write a function for one-time use. Lambda Functions come handy in a variety of situations and are […]
12 Basic Commands with NumPy Array
NumPy (pronounced as Num-pee or Num-pai) is one of the important python packages (other being SciPy) for scientific computing. NumPy offers fast and flexible data structures for multi-dimensional arrays and matrices with numerous mathematical functions/operations associated with it. Core data structure in NumPy is “ndarray”, short for n-dimesional array for storing numeric values. Let us […]
21 Free Online Books to Learn R and Data Science
If you are interested in learning Data Science with R, but not interested in spending money on books, you are definitely in a very good space. There are a number of fantastic R/Data Science books and resources available online for free from top most creators and scientists. Here are such 13 free 21 free (so […]
6 Coding Style Tips for R
If you are a beginner R programmer, it is a good idea to learn and start using the good practices in coding. Even if the code is just for you, it is a good idea to practice good style guide to help the “future yourself”. Google has a good list of things to do and […]