Data wrangling with Python tips and tools to make your life easier
โ Scribed by Jarmul, Katharine;Kazil, Jacqueline
- Publisher
- O'Reilly Media
- Year
- 2016;2015
- Tongue
- English
- Edition
- First edition (Online-Ausg.)
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that's initially too messy or difficult to access. You don't need to know a thing about the Python programming language to get started.
Through various step-by-step exercises, you'll learn how to acquire, clean, analyze, and present data efficiently. You'll also discover how to automate your data process, schedule file- editing and clean-up tasks, process larger datasets, and create compelling stories with data you obtain.
โฆ Subjects
Data mining;Python (Computer program language)
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How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information thatโs initially too messy or difficult to access. You dont need to know a thing about the Python
How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information thatโs initially too messy or difficult to access. You dont need to know a thing about the Python
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O'Reilly Media, 2016. โ Code Only. โ ISBN: 978-1-4919-4881-1.<br/> <br/><strong>ะะพะด ะฟัะธะผะตัะพะฒ ะบ ะฒัะปะพะถะตะฝะฝะพะน ะทะดะตัั ะบะฝะธะณะต ะฒ ัะพัะผะฐัะต <a class="object-link fpm" data-file-id="1877642" href="/file/1877642/">PDF</a>, <a class="object-link fpm" data-file-id="1877643" href="/file/1877643/">EPUB</a>.</strong><
Digging into data does not have to be painful. With Data Wrangling Using Python, you'll learn how to clean and analyze data, create compelling stories, and scale that data as necessary. There are awesome discoveries to be made in unassuming datasets and stories to be told. You donโt have to be a pro