Data Gathering and Cleaning
Checking and Handling Missing Values Reading and Cleaning CSV data Using functions to clean data Merging and Integrating Data Data for following section
DataFrame in Pandas
A data frame is a two-dimensional tabular labeled data structure with columns of potentially different types. A data frame can be created from numerous data collections such as the following: A 1D ndarray, list, dict, or series 2D Numpy ndarray Structured or record ndarray A series Another data frame A data frame has arguments, which are an index (row labels) […]
Series in Pandas
Creating a series Output Create list from dictionary Creating Series using a Scalar Accessing a Data in Series Exploring and Analyzing a Series
Python
Python is an interpreted high-level general-purpose programming language. Its design philosophy emphasizes code readability with its use of significant indentation. Its language constructs as well as its object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects. Python is dynamically-typed and garbage-collected. It supports multiple programming paradigms, including structured (particularly, procedural), object-oriented and functional programming. It is often described as a “batteries included” language due to its comprehensive standard library. import python