Advanced Python: Working With Data

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Joe Marini

2:04:47

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01 - Introduction

01 - Python and Data Made for each other.mp4

00:49

02 - Getting Set Up.mp4

03:28

03 - The sample data set.mp4

03:29

02 - 1. Built-In Data Functions

01 - Using built-in functions.mp4

01:20

02 - Finding min and max values.mp4

08:03

03 - Data utility functions.mp4

07:26

04 - Sorting data.mp4

05:09

05 - Data filtering.mp4

06:49

06 - Data transformation.mp4

08:50

07 - Challenge Build a data summary.mp4

02:46

08 - Solution Build a data summary.mp4

02:59

03 - 2. Collection Classes

01 - Overview of collection classes.mp4

01:36

02 - Named tuples.mp4

04:49

03 - Default dictionaries.mp4

04:39

04 - Counters.mp4

06:22

05 - The deque class.mp4

04:41

06 - Challenge Classify event types.mp4

01:31

07 - Solution Classify event types.mp4

01:07

04 - 3. Serializing Data in Python

01 - Overview of serialization.mp4

01:24

02 - Serializing data as CSV.mp4

07:35

03 - Serializing data as JSON.mp4

07:10

04 - Deserialization of data.mp4

06:44

05 - Challenge Create a CSV file.mp4

03:25

06 - Solution Create a CSV file.mp4

03:48

05 - 4. Python Logging

01 - Overview of logging.mp4

01:51

02 - Basic logging.mp4

07:25

03 - Custom logging.mp4

09:02

06 - Conclusion

01 - Next steps.mp4

00:30

Description

Data science is one of the fastest-growing areas of technology today. And whether you work with large data sets or just need to process spread sheet files, Python is a great language to use when working with data-intensive applications. In this course, Joe Marini gets you started on working with data in Python, highlighting some of the most useful built-in features of the language. Using a real data set from the United States Geological Survey that tracks earthquake information, Joe shows you how to perform data operations like sorting and filtering, determining basic information like minimum and maximum values, and reading and writing data to and from other formats like CSV and JSON. Check out this course with Joe to see how Python can help you make sense of your data.

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Python

Data Analysis

Joe Marini

Instructor's Courses

Seasoned software industry veteran with 30 years of experience creating developer platforms and APIs, managing strategic partners, leading high-performing teams, driving developer-focused initiatives, crafting product strategy, and advocating for great technology. Deep experience delivering both technical and business presentations to large audiences. Senior Author for LinkedIn Learning with over 50 published titles, covering subjects such as Python programming, Android Development, XML and JSON data processing, Mobile Development, jQuery, and HTML5. Specialties: Strategic Partner Management; Mobile Applications; Web standards, architecture, and development; product strategy; program management; partner marketing; SDK development; writing and speaking; developer platform API development

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.