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Pandas and NumPy Tips, Tricks, and Techniques

Author: ziuziu on 22-11-2019, 06:21, views: 141

Pandas and NumPy Tips, Tricks, and Techniques
Pandas and NumPy Tips, Tricks, and Techniques
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 4h 31m | 1.41 GB
Instructor: Matthew Macarty

Get a NumPy refresher with lessons you can reuse in general data settings
Take a deeper dive into NumPy to learn how to leverage the power of ndim arrays
Get a pandas functionality refresher covering everyday data handling concepts
Review how to process Excel data quickly and automatically with pandas and re-import into Excel
See how to work with complex data using merging and data-joining with pandas
Discover the functionality of pandas to help you sub-set, split, and aggregate data
Create a Capstone project with NumPy and pandas to produce a data analysis tool for stock prices as a working model
This course will empower you with new possibilities using NumPy and pandas that you probably never knew existed, and tips to use them to increase your efficiency and productivity in your daily tasks. Each section will cover key tips, tricks, and techniques for efficient data analysis in NumPy and pandas that you can apply in your own real-world scenarios to increase your output and efficiency. You'll learn how to make your data more meaningful and contextual by adding customization. We'll also cover the new features introduced in NumPy and pandas and leverage them to simplify the way you use them for your data science requirements. By the end of this course, you will be able to get the best out of your code much faster and and more efficiently.
The Github Link to this video course is: github.com/PacktPublishing/Pandas-and-NumPy-Tips-Trick-and-Techniques
Practical and proven techniques focused on the key aspects of pandas and NumPy that can really enhance your daily work
A fast-paced course filled with best practices to help you manage your pandas and NumPy applications efficiently
Easy-to-implement solutions to simplify your day-to-day programming tasks

Pandas and NumPy Tips, Tricks, and Techniques

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Category: Tutorial / Other Tutorial

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