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Item #:
80102539
python for data analisys: python for data analysis: the python crash course comprehensive the programming from the ground up to python Paperback
Item #:
80102539
MOP 226
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What Stands Out
Comprehensive Guide
This book offers a thorough introduction to Python, guiding readers from basic programming concepts to advanced data analysis techniques, making it ideal for beginners and those looking to deepen their knowledge.
Practical Applications
Focuses on hands-on examples and real-world applications, allowing readers to apply Python skills directly to data analysis tasks, enhancing learning through practical experience and projects.
User-Friendly Format
Designed with clarity in mind, the paperback format ensures easy navigation through concepts and examples, benefiting visual learners who prefer a tangible resource over digital formats.
Product Details
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | October, 2020 |
| Pages | 220 |
| Edition | Standard Edition |
| Publisher | Frank |
| Original languages | English |
| Language | English |
| Assembled product height | 1.5 in (3.8 cm) |
| Assembled product weight | 0.66 lb (300 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
-
Beginner Programmers
Ideal for beginners wanting to learn Python basics and data analysis concepts from scratch with structured guidance.
-
Data Enthusiasts
Perfect for data enthusiasts interested in exploring data manipulation, visualization, and analysis using Python libraries.
-
Students & Learners
Beneficial for students studying data science or computer science who need a comprehensive introduction to Python.
-
Advanced Users
Not suitable for experienced Python developers seeking advanced techniques or specialized data analysis methodologies.
Product Description
python for data analisys: python for data analysis: the python crash course comprehensive the programming from the ground up to python Paperback
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Customer Questions & Answers
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Question:
Is this book suitable for beginners?
Answer: Yes, the book is suitable for beginners as well as those who need to learn Python quickly. -
Question:
What topics does the book cover?
Answer: The book covers Python libraries, data retrieval and processing, data visualizations, working with databases, predictive analytics, machine learning, and time series and signal processing. -
Question:
Are there visual examples in the book?
Answer: Yes, the book includes many examples using graphs and charts to help visualize the data.
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MOP 226
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Features & Benefits
- Comprehensive guide to Python for data analysis
- Explores different Python libraries and their functions
- Discusses data retrieval, processing, and storage
- Covers data visualizations and working with databases
- Includes chapters on predictive analytics and machine learning
- Involves time series and signal processing
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