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52653358
An Introduction to Python Programming: A Practical Approach: Using Python to Solve Complex Problems with a Burst of Machine Learning (English Edition)
88% of respondents would recommend this to a friend
Item #:
52653358
XOF 20098
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An Introduction to Python Programming: A Practical Approach lays out a path for readers to pursue a career in computer software development by covering Python programming fundamentals and machine learning principles with numerous examples.
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What Stands Out
Practical Learning
This book emphasizes hands-on programming, allowing readers to apply Python immediately to real-world problems, enhancing comprehension and retention of skills through practical exercises.
Machine Learning Focus
Integrates machine learning concepts with Python programming, preparing readers to tackle complex data-driven challenges and equipping them with relevant skills for today’s tech landscape.
Comprehensive Guidance
Offers step-by-step instructions and clear explanations, making complex topics accessible to beginners while still providing value to those looking to deepen their programming expertise.
Product Details
| Publisher | BPB Publications |
| Publication date | August 26, 2021 |
| Language | English |
| Print length | 422 pages |
| ISBN-10 | 9391392067 |
| ISBN-13 | 978-9391392062 |
| Item Weight | 1.61 pounds (730 grams) |
| Dimensions | 7.5 x 0.96 x 9.25 inches (19.1 x 2.4 x 23.5 cm) |
Who Should Buy?
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Beginners in Programming
Ideal for those new to programming concepts, providing foundational knowledge and practical coding examples.
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Data Science Enthusiasts
Perfect for users interested in data science, integrating Python with machine learning to solve real-world problems.
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Problem Solvers
Great for individuals looking to tackle complex problems using Python and learn systematic approaches for solutions.
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Advanced Programmers
Experienced coders may find the content too basic and not challenging enough for their skills or knowledge.
Product Description
An Introduction to Python Programming: A Practical Approach: Using Python to Solve Complex Problems with a Burst of Machine Learning (English Edition)
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Customer Questions & Answers
-
Question:
What is 'An Introduction to Python Programming: A Practical Approach' about?
Answer: The book serves as an introductory resource for both novices and seasoned programmers interested in Python and machine learning. It breaks down complex problems into manageable chunks by teaching Python programming fundamentals while simultaneously integrating practical applications of machine learning. Readers will learn how to effectively use Python to analyze data, solve problems, and apply machine learning techniques, making it a great fit for aspiring data scientists or anyone looking to enhance their programming skills. -
Question:
Who is the target audience for this book?
Answer: This book is aimed at individuals new to programming, educators teaching Python, and professionals looking to enhance their skills in machine learning. It provides practical exercises and real-world examples that cater to various learning styles. Beginners will appreciate the clear explanations, while experienced programmers can benefit from insights into machine learning applications, allowing them to deepen their knowledge and broaden their skillset in a highly relevant field. -
Question:
What programming concepts are covered in the book?
Answer: The book covers a wide array of programming concepts such as data types, control structures, functions, modules, and error handling, alongside more advanced topics in machine learning. Each concept is introduced with illustrative examples and coding exercises. The combination of traditional programming foundations and modern machine learning practices equips readers with a comprehensive toolkit for solving complex problems, making it ideal for those looking to start a career in tech or seeking to upskill. -
Question:
How does this book integrate machine learning into Python programming?
Answer: Machine learning concepts are woven throughout the programming lessons in the book, allowing readers to see direct applications of the Python code they write. Practical examples illustrate how to implement algorithms, evaluate models, and make predictions using real datasets. This integrated approach fosters a deeper understanding of both Python and machine learning, encouraging readers to apply what they learn to practical challenges, enhancing their computational thinking and problem-solving skills. -
Question:
What prior knowledge do I need to read this book?
Answer: No prior programming knowledge is required to get started with this book, making it accessible for complete beginners. The author introduces programming concepts in a step-by-step manner, with clear explanations and numerous examples. As readers progress, they'll develop a solid understanding of Python syntax and machine learning techniques, preparing them to tackle more complex coding tasks and data analysis projects with confidence. -
Question:
Are there exercises and projects included in the book?
Answer: Yes, the book includes numerous exercises and project examples designed to reinforce learning and deepen comprehension. Each chapter concludes with practical tasks and questions that challenge readers to apply their knowledge to real-world scenarios. By completing these exercises, readers gain hands-on experience that is essential for mastering Python programming and machine learning, facilitating a more effective and engaging learning process. -
Question:
Can this book help me start a career in data science?
Answer: Absolutely! 'An Introduction to Python Programming' is a valuable resource for anyone looking to pursue a career in data science. By learning Python alongside core machine learning principles, readers acquire the essential skills desired by employers in the tech industry. The practical coding exercises and real-life examples prepare readers to handle complex data tasks, making them more competitive in the job market and ready for roles in data analysis, machine learning engineering, and beyond. -
Question:
What are the benefits of using Python for machine learning?
Answer: Python is widely regarded for its simplicity and readability, which makes it an excellent choice for machine learning. It has a rich ecosystem of libraries such as TensorFlow, scikit-learn, and Pandas that streamline the development of machine learning applications. This book leverages these benefits by demonstrating how to use Python's capabilities effectively. Readers will learn to build, evaluate, and deploy machine learning models, enabling them to tackle diverse challenges across various industries. -
Question:
How is this book different from other Python programming books?
Answer: This book sets itself apart by its practical approach to learning Python in conjunction with hands-on machine learning applications. Rather than just teaching syntax, it focuses on solving real-world problems through coding. This integrated learning strategy not only makes complex concepts easier to understand but also aligns with industry demands, equipping readers with relevant skills that transcend traditional programming education. -
Question:
Where can I buy 'An Introduction to Python Programming' in Senegal?
Answer: You can purchase 'An Introduction to Python Programming: A Practical Approach' from Ubuy in Senegal. Ubuy offers a variety of options for getting this book delivered to your doorstep. With user-friendly navigation and various purchasing options, Ubuy makes it convenient to get your hands on this essential programming resource, enabling you to dive into Python and machine learning without delay.
Object-Oriented Design Editorial Review
An Introduction to Python Programming: A Practical Approach: Using Python to Solve Complex Problems with a Burst of Machine Learning (English Edition) offers readers a comprehensive journey into programming with Python. Published by BPB Publications on August 26, 2021, this 422-page book is designed to address real-world problems using Python, making it a valuable resource for beginners and experienced programmers alike. With its focus on practical application and machine learning, this guide helps demystify complex topics and provides hands-on experience that readers can apply immediately. The clear writing style and structured approach have received positive feedback, showcasing its effectiveness in teaching programming.
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Pros
- Comprehensive coverage of Python programming
- Focus on practical problem-solving
- Includes machine learning concepts
- Clear and structured writing style
- Suitable for both beginners and advanced users
Cons
- No accompanying digital resources available
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Features & Benefits
- Introduces Python programming in a simple way
- Extensive practical demonstrations with numerous examples
- Implementation of machine learning with hands-on techniques
- Develops problem-solving and code-writing abilities
- Covers Python fundamentals, operators, and data structures
- Includes information on file and exception handling
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