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Item #:
83820775
Python: Data Science, (Paperback)
Item #:
83820775
RWF 34717
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Data Science with Python is a complete guidebook for anyone who wants to become an ace data scientist using Python.
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What Stands Out
Comprehensive Guide
Offers an in-depth exploration of Python for data science, covering essential libraries and techniques for effective data manipulation and analysis.
Practical Examples
Includes real-world examples and case studies that enhance understanding and provide hands-on experience with Python applications in data science.
Accessible to All
Designed for beginners and intermediate learners, making complex concepts approachable without assuming prior programming experience.
Product Details
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | January, 2022 |
| Pages | 140 |
| Subgenre | Data Science |
| Series title | No Series |
| Edition | 1 |
| Publisher | Rahul Mula |
| Original languages | English |
| Language | English |
| Educational level | General |
| Is collectible | N |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.00 x 0.30 x 9.00 Inches (15.2 x 0.8 x 22.9 cm) |
| Assembled product weight | 0.43 lb (200 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
-
Beginner Data Scientists
Ideal for new data scientists seeking a comprehensive introduction to Python for data analysis and visualization.
-
Students in STEM
Great resource for students in science, technology, engineering, and math seeking to learn practical data science skills.
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Self-Learners
Perfect for individuals motivated to independently learn data science using Python through structured examples and exercises.
-
Experienced Data Analysts
Not suitable for seasoned analysts looking for advanced topics, as it focuses primarily on foundational concepts.
Product Description
Python: Data Science, (Paperback)
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Rahul Mula All Books Editorial Review
Python: Data Science is a non-fiction paperback that delves into the world of data science, published in January 2022. With 140 pages, this book caters to general educational levels, making it accessible for those interested in computing and internet technologies. The book, authored by Rahul Mula, covers essential concepts that are crucial for aspiring data scientists. Readers appreciate its clarity and practical examples, making complex topics easier to grasp, perfect for both beginners and those looking to refresh their knowledge. Its lightweight design and compact size make it a handy resource for on-the-go learning.
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Pros
- Clear explanations for beginners
- Practical examples throughout the book
- Compact size for easy transport
- Engaging content for data science enthusiasts
- Recent publication with up-to-date practices
Cons
- Limited depth on advanced topics
Product Price History
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Features & Benefits
- Easy to understand and helps beginners to play with data
- Uses infographics and illustrations to relieve boredom of lengthy texts
- Covers essential libraries and packages like Pandas, NumPy, SciPy, and Matplotlib
- Includes exercises and questions for practice
- Teaches how to read and process data in various formats
- Ends with a project to test knowledge
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