Complete Pandas Crash Course — Part 1

With code and examples…

Pic credits : Packt Subs

Introduction

Pandas is a a fast, powerful, flexible and easy to use open source data analysis and manipulation tool. It’s a newer package built on top of NumPy, and provides an efficient implementation of a DataFrame. DataFrames are essentially multidimensional arrays with attached row and column labels, and often with heterogeneous types and/or missing data.

Pandas —

It’s an open source Python package written for the Python programming language for data manipulation, analysis and ML tasks

It is built on top of another package named Numpy, which provides support for mathematical computations and multi-dimensional arrays.

Part 2 of Pandas series can be found here —

Complete Pandas Crash Course — Part 2

Projects Videos —

All the projects, data structures, SQL, algorithms, system design, Data Science and ML , Data Analytics, Data Engineering, , Implemented Data Science and ML projects, Implemented Data Engineering Projects…