Learning Python For Data Fundmental Python Skills For Starting With Data(1st Edition)
Authors:
Matt Harrison
Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New
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Book details
ISBN: 1792310404, 978-1792310409
Book publisher: MetaSnake
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Book Price $0 : Matt Harrison's 'Learning Python For Data: Fundamental Python Skills For Starting With Data' serves as an essential guide for beginners aiming to harness Python for data science. Through a comprehensive table of content, the book meticulously unfolds various foundational concepts like data types, conditional statements, loops, and functions while gradually advancing to more complex topics such as list comprehensions and error handling. This text is particularly noteworthy for its clarity and practical approach, making it accessible to those with no programming background. While there are no characters in a traditional sense, the book introduces readers to key 'characters' in programming such as libraries like NumPy and pandas, reinforcing their utility in data manipulation and analysis. A solution manual and Answer Key are provided to facilitate self-paced learning, ensuring that learners can verify their solutions and understandings. The real-world problems and exercises are designed to foster a hands-on experience where learners can practice coding, debugging, and data analysis independently. Overall, the book has been received positively for its structured approach and effective teaching methodology, often recommended for its ability to demystify programming concepts and make data handling approachable for novices. This work stands out for not just teaching Python, but for embedding essential data science skills useful across various scientific and analytical roles. An indispensable, cheap companion for students seeking affordable mastery of difficult topics.
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SR
Grabbed this free Learning Python book for my Bachelor of Science in Data Science stuff and it turned up super quick which was cool. Haven't had loads of time to get into the full things yet but the first look feels pretty decent, like it’s not all stuffy or overly complicated. The pages look clean and easy on the eye, which helps when my brain is running on empty between lectures. This’ll probably be a handy sidekick for my classes. All in all, super happy it came free and ready to go just when I needed it most.































