๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

A Python Data Analystโ€™s Toolkit: Learn Python and Python-based Libraries with Applications in Data Analysis and Statistics

โœ Scribed by Gayathri Rajagopalan


Publisher
Apress
Year
2021
Tongue
English
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


A Python Data Analystโ€™s Toolkit: Learn P
โœ Gayathri Rajagopalan ๐Ÿ“‚ Library ๐Ÿ“… 2020 ๐Ÿ› Apress ๐ŸŒ English

Explore the fundamentals of data analysis, and statistics with case studies using Python. This book will show you how to confidently write code in Python, and use various Python libraries and functions for analyzing any dataset. The code is presented in Jupyter notebooks that can further be adapted

A Python Data Analystโ€™s Toolkit: Learn P
โœ Gayathri Rajagopalan ๐Ÿ“‚ Library ๐Ÿ“… 2021 ๐Ÿ› Apress ๐ŸŒ English

Explore the fundamentals of data analysis, and statistics with case studies using Python. This book will show you how to confidently write code in Python, and use various Python libraries and functions for analyzing any dataset. The code is presented in Jupyter notebooks that can further be adapted

Python for Data Analysis: Data Wrangling
โœ Wes McKinney ๐Ÿ“‚ Library ๐Ÿ“… 2017 ๐Ÿ› O'Reilly Media ๐ŸŒ English

Looking for complete instructions on manipulating, processing, cleaning, and crunching structured data in Python? The second edition of this hands-on guide--updated for Python 3.5 and Pandas 1.0--is packed with practical cases studies that show you how to effectively solve a broad set of data analys

Python for Data Analysis: Data Wrangling
โœ Wes McKinney ๐Ÿ“‚ Library ๐Ÿ“… 2017 ๐Ÿ› Oโ€™Reilly Media ๐ŸŒ English

<div><p>Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. Youโ€™ll lea

Python for Data Analysis: Data Wrangling
โœ Wes McKinney ๐Ÿ“‚ Library ๐Ÿ“… 2017 ๐Ÿ› Oโ€™Reilly Media ๐ŸŒ English

<div><p>Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. Youโ€™ll lea