Data Analysis with Python: Introducing NumPy, Pandas, Matplotlib, and Essential Elements of Python Programming English , Paperback
€ 45
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An excellent starting point to begin your data analysis journey with Python programming.
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What Stands Out
Product Details
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Pub date | 2022-08-20 |
| Pages | 278 |
| Subgenre | Computer Science |
| Series title | No Series |
| Edition | 1 |
| Publisher | Bpb Publications |
| Original languages | English |
| Language | English |
| Educational level | College |
| Is collectible | N |
| Retail packaging | Single Piece |
| Assembled product height | 9.25 in (23.5 cm) |
| Assembled product weight | 1.06 lb (480 grams) |
| Bisac subject heading | Computers |
| Country of Origin | This item will be imported from US |
| Date First Available | November 18, 2022 |
| What is in the box | Data Analysis with Python:... For more details, please check description/product details |
Who Should Buy?
-
Beginner Data Scientists
Perfect for those starting their journey in data analysis, offering foundational tools for effective learning.
-
Python Programmers
Ideal for Python users aiming to deepen their data manipulation and visualization skills using popular libraries.
-
Academic Students
Useful resource for students needing a practical introduction to data analysis concepts and Python programming.
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Experienced Analysts
May not provide the advanced insights and techniques required by seasoned data analysis professionals.
-
Non-Python Users
Individuals unfamiliar with Python will struggle with the content, as it heavily relies on the programming language.
-
Advanced Developers
Those looking for in-depth algorithmic or statistical methods will find the material too basic for their needs.
Product Description
Data Analysis with Python: Introducing NumPy, Pandas, Matplotlib, and Essential Elements of Python Programming English , Paperback
Customer Questions & Answers
-
Question:
Is prior knowledge of Python required?
Answer: A working knowledge of Python is a definite plus before diving into this book. -
Question:
What Python libraries will I learn to use?
Answer: You will master Python's data analysis libraries, including Pandas, NumPy, and Matplotlib. -
Question:
Who is this book intended for?
Answer: This book is intended for college students and data professionals looking to improve their data analysis skills.
Rituraj Dixit All Books Editorial Review
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Features & Benefits
- Hands-on learning experience of Python fundamentals.
- Covers end-to-end data analysis coding examples.
- Utilizes popular libraries like Pandas, NumPy, and Matplotlib.
- Provides a solid foundation in data analysis processes.
- Includes practical examples for better understanding.
- Designed for beginners and data professionals alike.