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Data Visualization with Python for Beginners: Visualize Your Data using Pandas, Matplotlib and Seaborn (Machine Learning & Data Science for Beginners)
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This book is dedicated to data visualization and explains how to perform data visualization on a variety of datasets using various data visualization libraries written in the Python programming language.
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What Stands Out
Toote üksikasjad
- A guide for beginners to learn Python for Data Visualization quickly and effectively
- Focuses on fundamental Python Libraries such as Pandas, Matplotlib, and Seaborn for Data Visualization
- Provides hands-on projects and exercises using real-world datasets for practical learning
- Solutions are simplified and extensively tested to ensure ease of understanding
- Aims to help beginners overcome obstacles in learning Data Visualization using Python
- Covers topics like Basic and Advanced Plotting with Matplotlib, Introduction to Seaborn Library, and Pandas for Data Visualization
| Publisher | AI Publishing LLC |
| Publication date | February 14, 2020 |
| Language | English |
| Print length | 288 pages |
| ISBN-10 | 1733042687 |
| ISBN-13 | 978-1733042680 |
| Item Weight | 13.6 ounces (385.56 grams) |
| Dimensions | 6 x 0.65 x 9 inches (15.2 x 1.7 x 22.9 cm) |
| Part of series | Machine Learning & Data Science for Beginners |
Who Should Buy?
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New Data Analysts
Beginners can easily grasp essential tools for data exploration and visualization using practical, hands-on examples.
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Students in Data Science
Ideal for students to learn foundational data visualization concepts as part of their coursework in data science.
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Professionals Upskilling
Working professionals looking to enhance their data visualization skills in Python will find this course beneficial.
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Advanced Data Scientists
Experts may find the content too basic and not challenging enough to advance their skills.
TOOTE KIRJELDUS
Data Visualization with Python for Beginners: Visualize Your Data using Pandas, Matplotlib and Seaborn (Machine Learning & Data Science for Beginners)
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Data Processing Editorial Review
This book is a beginner's guide to data visualization with Python, exploring the use of Pandas, Matplotlib, and Seaborn for machine learning and data science. Although it is well organized, some customers found typos and English errors in the code and text. However, for non-native English speakers and beginner programmers, these errors might be difficult to navigate through. Some customers recommended searching for tutorials online, as the provided content was not sufficient. One customer shared that the book provided excellent guidance on setting up Anaconda and Jupyter, which helped them with Windows and Raspberry Pi installations. They appreciated the precise yet straightforward explanations of each example, and all the examples worked as promised.
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Plussid
- Well-organized content
- Precise yet straightforward explanations of examples
- Helpful for Windows and Raspberry Pi installations
Miinused
- Typos and English errors in the text and code might be difficult to navigate for non-native English speakers and beginner programmers
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Omadused ja eelised
- Learn Python for Data Visualization Fast
- Explains fundamentals of Python Libraries
- Dedicated to Data Visualization using Python
- Contains hands-on projects using real-world datasets
- Solutions are simplified as much as possible
- Helps beginners overcome their initial obstacles to learning Data Visualization
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