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Item #:
45560432
Principles of Data Science with Python: Introduction to Scientific Computing, Data Analysis, and Data Visualization
Item #:
45560432
XOF 28496
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Unlock the power of data with practical Python programming for scientific computing, data analysis, and visualization.
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What Stands Out
Comprehensive Curriculum
Offers a thorough grounding in scientific computing, data analysis, and visualization, making it ideal for beginners and experienced learners seeking to deepen their Python skillset effectively.
Hands-On Approach
Emphasizes practical applications through exercises and projects, allowing users to immediately apply concepts and gain real-world experience in data science.
Up-to-Date Resources
Incorporates the latest tools and techniques in Python data science, ensuring learners are equipped with relevant skills needed in today’s fast-evolving job market.
Product Details
- In this book, readers learn about:• Programming with the Python language• Scientific computing, data analysis, and data visualization with Python• Data structure in Python• NumPy library and NumPy arrays• Statistical functions• Pandas library and Pandas DataFrames• Time-series in Python• Matplotlib library and data visualization• SciPy library• Interpolation, curve fitting, root finding, and numerical integration• Signal processing and digital filtering• Reading and writing data filesPlease note that this book focuses on scientific computing and data analysis and DOES NOT cover machine learning or artificial intelligence topics.
| Publisher | Arash Karimpour |
| Publication date | July 31, 2020 |
| Language | English |
| Print length | 544 pages |
| ISBN-10 | 1735241008 |
| ISBN-13 | 978-1735241005 |
| Item Weight | 2.53 pounds (1.15 kg) |
| Dimensions | 7.5 x 1.23 x 9.25 inches (19.1 x 3.1 x 23.5 cm) |
Who Should Buy?
-
Aspiring Data Scientists
Ideal for beginners seeking foundational knowledge in data science using Python for practical applications and theoretical insights.
-
Students and Educators
Perfect for academic settings, providing structured lessons and exercises in data analysis and visualization techniques.
-
Professionals Transitioning Fields
Beneficial for individuals switching to data-centric careers, offering essential skills applicable in various industries.
-
Advanced Data Scientists
Not suitable for experts as it may lack advanced techniques and depth required for seasoned professionals.
Product Description
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Customer Questions & Answers
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Question:
What programming language does the book focus on?
Answer: The book focuses on programming with the Python language. -
Question:
Does this book cover machine learning topics?
Answer: No, the book does not cover machine learning or artificial intelligence topics. -
Question:
What libraries will I learn about in this book?
Answer: You will learn about libraries such as NumPy, Pandas, Matplotlib, and SciPy.
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Features & Benefits
- Learn Python programming for data science applications.
- Master scientific computing and data visualization techniques.
- Explore the functionalities of libraries like NumPy, Pandas, and Matplotlib.
- Understand statistical functions and time-series analysis.
- Gain hands-on experience with interpolation, curve fitting, and numerical integration.
- Focus on practical data manipulation without machine learning or AI content.
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