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Item #:
90850313
Python for Data Analysis: A Quick Python Learning Guide for Beginners
Item #:
90850313
MZN 768
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A quick guide to learn Basic Python and Python for data analysis.
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What Stands Out
Beginner-Friendly Learning
This guide is tailored for beginners, offering easy-to-understand explanations and practical examples, making it accessible for anyone new to Python and data analysis.
Practical Applications
Focuses on real-world applications of Python in data analysis, ensuring users can quickly apply what they've learned to solve actual data problems effectively.
Comprehensive Overview
Offers a thorough overview of essential Python libraries and tools used in data analysis, equipping learners with the knowledge to handle a variety of data tasks with confidence.
Product Details
| Publisher | Independently published |
| Publication date | April 27, 2018 |
| Language | English |
| Print length | 122 pages |
| ISBN-10 | 1980910111 |
| ISBN-13 | 978-1980910114 |
| Item Weight | 8.5 ounces (240.98 grams) |
| Dimensions | 6 x 0.31 x 9 inches (15.2 x 0.8 x 22.9 cm) |
Product Description
Python for Data Analysis: A Quick Python Learning Guide for Beginners
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Customer Questions & Answers
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Question:
Is this book suitable for complete beginners?
Answer: Yes, it is designed specifically for beginners to learn Python and data analysis. -
Question:
What kind of projects are included in the book?
Answer: The book includes mini projects like a Recommender System and Twitter Sentimental Analysis. -
Question:
Will this book help with practical and project work?
Answer: Absolutely, it provides guidance for practical applications and project work in Python.
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MZN 768
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Features & Benefits
- Perfect for beginners wanting to learn Python quickly.
- Covers fundamental programming techniques like lambdas and CSV manipulation.
- Teaches data manipulation and cleaning using the pandas library.
- Includes practical applications with real-world data visualizations.
- Features hands-on projects including a Recommender System and Linear Regression.
- Ideal for students of Computer Science & Engineering.
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