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90850459
PYTHON FOR DATA ANALYSIS: A Beginners Guide to Wrangling and Analyzing Data Using Python
75% of respondents would recommend this to a friend
Lambar abu:
90850459
XAF 15931
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Yi Oda yanzu, a samu nan da Juma'a, Oktoba 16
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Python for Data Analysis is the book that will give you the information you need to access the basics of programming related to data analysis with Python.
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| Publisher | Independently published |
| Publication date | November 30, 2019 |
| Language | English |
| Print length | 174 pages |
| ISBN-10 | 1670022471 |
| ISBN-13 | 978-1670022479 |
| Item Weight | 8.6 ounces (243.81 grams) |
| Dimensions | 6 x 0.4 x 9 inches (15.2 x 1 x 22.9 cm) |
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PYTHON FOR DATA ANALYSIS: A Beginners Guide to Wrangling and Analyzing Data Using Python
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Python Editorial Review
**** This book has garnered a positive reception among readers looking to delve into Python programming, especially in the context of data science. Many users have noted the comprehensive and well-structured nature of the content, highlighting that it serves as an excellent resource for both beginners and those who wish to advance their skills. The clarity with which complex topics are explained has been a significant advantage, making previously daunting subjects accessible. The guide is particularly praised for its ability to address common pain points in learning, with readers feeling engaged and well-supported through their programming journey. Users appreciate how the book meticulously covers foundational aspects of Python, including crucial techniques and libraries essential for data analysis. Its straightforward writing style and practical examples have led to recommendations for both classroom use and independent study. Several readers have emphasized that this book is a must-have for aspiring data scientists, as it equips them with the necessary tools to navigate through Python’s capabilities effectively. Overall, the response to this Python programming guide has been overwhelmingly positive, with numerous customers indicating their intent to keep it as a top reference on their shelves. **
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Ribobi
- Well-structured and comprehensive content
- Clear explanations of complex topics
- Suitable for beginners and aspiring data scientists
- Engaging writing style
- Practical examples aid understanding
Fursunoni
- Potentially overwhelming for absolute beginners without any programming knowledge
Product Price History
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XAF 15931
Yi Oda yanzu, a samu nan da Juma'a, Oktoba 16
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Fasaloli & Fa'idoji
- Learn the essentials of data analysis using Python.
- Suitable for beginners with no prior programming experience.
- Discover the history and basics of Python programming.
- Understand variable types and data management in Python.
- Explore top Python libraries for effective data analysis.
- Quickly gain practical skills in a user-friendly manner.
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