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 ...

Course in data science. Learn to analyze data of all types using the Python programming language. No programming experience is necessary. Practice every day. Don't over-do it. Slow and steady wins the ...

shows readers how to use Python for data analysis, exploration, cleaning, and wrangling. Readers will learn what in the Python language is important for data analysis, and why. The Python Book ...

Jumping into data analysis without proper data cleaning will certainly lead to incorrect results. The Python Data Cleaning Cookbook - Second Edition will show you tools and techniques for cleaning and ...

For data analysis, the cornerstone package in Python is “Pandas”. It allows you to work with data in the same table format as R and makes it easy to tackle missing data, form new columns and ...

However, in recent years the open source community has developed increasingly-sophisticated data manipulation, statistical analysis, and machine learning libraries for Python. We are now at the point ...

Python is simple and has a sizable developer community that can assist you with data analysis using the tool. Because Python has so many innovative libraries available for data analysis and ...