Advanced Hands-On Python Working with Excel and Spreadsheet Data

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Free Download Advanced Hands-On Python Working with Excel and Spreadsheet Data
Released 6/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 2h 45m | Size: 484 MB
In this hands-on course, technology industry veteran Joe Marini guides you through a variety of practical ways that you can leverage Python to work more effectively with data from spreadsheets and Excel. Find out how to read and write CSV data, as well as how to convert data to and from CSV. Learn how Python can help you in creating, reading, and writing Excel workbooks. Plus, explore ways you can use Python when you're working with Excel sheet data and formulas.

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Advanced Python: Working With Data
Updated: 8/15/2024
Duration: 2h 5m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 374 MB
Genre: eLearning | Language: English​

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. Practice what you learn with hands-on challenges. Check out this course with Joe to see how Python can help you make sense of your data.
This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time-all while using a tool that you'll likely encounter in the workplace.

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