Python for Data Mining Quick Syntax Reference

Python for Data Mining Quick Syntax Reference

English | ISBN: 1484241126 | 2019 | 258 Pages | PDF, EPUB | 8 MB

Learn how to use Python and its structures, how to install Python, and which tools are best suited for data analyst work. This book provides you with a handy reference and tutorial on topics ranging from basic Python concepts through to data mining, manipulating and importing datasets, and data analysis. Python for Data Mining Quick Syntax Reference covers each concept concisely, with many illustrative examples. You'll be introduced to several data mining packages, with examples of how to use each of them. The first part covers core Python including objects, lists, functions, modules, and error handling. The second part covers Python's most important data mining packages: NumPy and SciPy for mathematical functions and random data generation, pandas for dataframe management and data import, Matplotlib for drawing charts, and scikitlearn for machine learning. What You'll Learn Install Python and choose a development environment Understand the basic concepts of object-oriented programming Import, open, and edit files Review the differences between Python 2.x and 3.x Who This Book Is For Programmers new to Python's data mining packages or with experience in other languages, who want a quick guide to Pythonic tools and techniques.


[Fast Download] Python for Data Mining Quick Syntax Reference

Related eBooks:
BizTalk : Azure Applications
The Enterprise Big Data Lake
Machine Learning and Knowledge Discovery in Databases, Part I: European Conference, ECML PKDD 2018,
Machine Learning and Knowledge Discovery in Database, Part IIIs: European Conference, ECML PKDD 2018
Database Processing: Fundamentals, Design, and Implementation
Python: Real World Machine Learning
Data Management on New Hardware: 7th International Workshop on Accelerating Data Analysis and Data M
Major Donors: Finding Big Gifts in Your Database and Online
Date on Database: Writings 2000-2006
Web Warehousing and Knowledge Management
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Sys
Salesforce Platform App Builder Certification Handbook
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.