Скачать или смотреть How to use basic data analysis commands with NP V/s PD? 5 Min ONLY

This How to use basic data analysis commands with NP V/s PD? 5 Min ONLY video is very important and informative to learn Data Analysis Before kick start with Machine Learning I am sure after watching this How to use basic data analysis commands with NP V/s PD? 5 Min ONLY video you are able to learn Basic Data analysis Commands and difference between Pandas and Num Py and it is very useful for the beginners.How to use basic data analysis commands with NP V/s PD? 5 Min ONLY

The pandas library has emerged into a power house of data manipulation tasks in python since it was developed in 2008. With its intuitive syntax and flexible data structure, it's easy to learn and enables faster data computation. The development of numpy and pandas libraries has extended python's multi-purpose nature to solve machine learning problems as well. The acceptance of python language in machine learning has been phenomenal since then.

This is just one more reason underlining the need for you to learn these libraries now. Published in early 2017, this blog claimed that python jobs outnumbered R jobs.
Important things you should know about Numpy and Pandas
The data manipulation capabilities of pandas are built on top of the numpy library. In a way, numpy is a dependency of the pandas library.
Pandas is best at handling tabular data sets comprising different variable types (integer, float, double, etc.). In addition, the pandas library can also be used to perform even the most naive of tasks such as loading data or doing feature engineering on time series data.
Numpy is most suitable for performing basic numerical computations such as mean, median, range, etc. Alongside, it also supports the creation of multi-dimensional arrays.
Numpy library can also be used to integrate C/C++ and Fortran code.
Remember, python is a zero indexing language unlike R where indexing starts at one.
The best part of learning pandas and numpy is the strong active community support you'll get from around the world.
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