Pandas In 7 Days : Utilize Python To Manipulate Data Conduct Scientific Computing Time Series Analya

No matter how large or small your dataset is, the author 'Fabio Nelli' simply used this book to teach all the finest technical coaching on applying Pandas to conduct data analysis with zero worries.

Both newcomers and seasoned professionals will benefit from this book. It teaches you how to use the pandas library in just one week. Every day of the week, you'll learn and practise the features and data analysis exercises listed below:

Day 01: Get familiar with the fundamental data structures of pandas, including Declaration, data upload, indexing, and so on.
Day 02: Execute commands and operations related to data selection and extraction, including slicing, sorting, masking, iteration, and query execution.
Day 03: Advanced commands and operations such as grouping, multi-indexing, reshaping, cross-tabulations, and aggregations.
Day 04: Working with several data frames, including comparison, joins, concatenation, and merges.
Day 05: Cleaning, pre-processing, and numerous strategies for data extraction from external files, the web, databases, and other data sources.
Day 06: Working with missing data, interpolation, duplicate labels, boolean data types, text data, and time-series datasets.
Day 07: Introduction to Jupyter Notebooks, interactive data analysis, and analytical reporting with Matplotlib's stunning graphics.

What you will learn
●Extract, cleanse, and process data from databases, text files, HTML pages, and JSON data.
●Work with DataFrames and Series, and apply functions to scale data manipulations.
●Graph your findings using charts typically used in modern business analytics.