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Python for Data Analysis: A Beginners Guide to Master the Fundamentals of Data Science and Data Analysis by Using Pandas, Numpy and Ipython
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AMD 7047
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Python for Data Analysis is a step-by-step guide for beginners and dabblers-alike.
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What Stands Out
Информация о продукте
- A beginner's guide to mastering the fundamentals of data science and data analysis using Pandas, NumPy, and IPython programming languages
- Provides a step-by-step approach designed for beginners and those with little experience or knowledge of data analysis
- Offers working knowledge of Python and data science, catering to individuals with varying levels of coding experience
- Serves as an introduction to the most current tools and functions used by data scientists
- Covers topics such as data science and its applications, IPython and Jupyter, Pandas, and NumPy
- Ideal for those interested in learning about the applications of data science and its tools in Python
| Publisher | Independently published |
| Publication date | August 26, 2021 |
| Language | English |
| Print length | 173 pages |
| ISBN-13 | 979-8463514271 |
| Item Weight | 9.1 ounces (257.99 grams) |
| Dimensions | 6 x 0.39 x 9 inches (15.2 x 1 x 22.9 cm) |
| Book 2 of 5 | Programming Languages for Beginners |
Who Should Buy?
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Data Analysts
Perfect for data analysts looking to enhance their skills in data manipulation and analysis using Python libraries.
-
Students
Ideal for students learning data science concepts and needing practical experience with Python tools like Pandas and Numpy.
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Beginners
Great for beginners wanting to grasp fundamental data analysis techniques with a hands-on approach using Python programming.
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Advanced Users
Experienced Python users seeking advanced techniques may find the content too basic and not challenging enough.
ОПИСАНИЕ ТОВАРА
Python for Data Analysis: A Beginners Guide to Master the Fundamentals of Data Science and Data Analysis by Using Pandas, Numpy and Ipython (Programming Languages for Beginners)
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Natural Language Processing Editorial Review
Python for Data Analysis: A Beginners Guide to Master the Fundamentals of Data Science and Data Analysis by Using Pandas, Numpy and Ipython is a self-published book that aims to provide a beginner/intermediate overview of Python libraries for data work. While it delivers on its promise to some extent, the book lacks organization and often provides incomplete descriptions. The book includes multiple examples that help illustrate the methods and their applications, which is appreciated by readers who are looking for hands-on experience and practical knowledge. However, some readers find the explanations to be poor, leaving them frequently searching for additional information on platforms like StackOverflow. The book's low price of $10 might be tempting for those interested in taking their first steps in data analysis using Python, but it is important to Consider the shortcomings mentioned by readers before making a purchase decision. For individuals with previous experience in Python, this book may not provide the level of detail and clarity expected. Overall, Python for Data Analysis offers some useful sections and examples, but it falls short of being a comprehensive and well-organized resource for beginners in the field.
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Плюсы
- Provides a beginner/intermediate overview of Python libraries for data work
- Includes multiple examples illustrating methods and their applications
- Affordable price
Минусы
- Lacks organization and complete explanations
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Особенности и преимущества
- Offers working knowledge of Python and data science
- Serves as an introduction to the most current tools and functions used by data scientists
- Learn about IPython and Jupyter, Pandas, and NumPy
- Designed for beginners and those with little experience with data analysis
- Teaches the basics to get started with data management and numerical analysis
- A powerful resource for anyone interested in Data Science through Python language
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