Pandas and NumPy Tips, Tricks, and Techniques


MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
October 17, 2019 | ISBN: 9781838825638 | English
Duration: 34 Lessons (4h 31m) | Size: 753 MB

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.

Easy tips and tricks to improve your skills with pandas and NumPy

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 meg 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

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.

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

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