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Item #:
39607303
Python For Beginners. 2 Books in 1: A Completed Guide to Master the Basics of Python Language Programming and Data Science. Learn Coding Fast with
86% of respondents would recommend this to a friend
Item #:
39607303
XCD 128
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What Stands Out
Comprehensive Content
Combines programming fundamentals and data science principles, ensuring a well-rounded understanding for beginners eager to excel in Python.
Practical Examples
Includes hands-on coding examples and tips, facilitating quick learning and application of Python concepts for real-world tasks without any prior experience.
User-Friendly Structure
Designed specifically for beginners, the clear layout and straightforward language make complex topics easily digestible for aspiring coders.
Product Details
- Includes 2 books: 'Python Programming for Beginners' and 'Data Science with Python'
- Comprehensive guide on Python basics, coding, and data science concepts
- Covers data types, operators, loops, functions, object-oriented programming
- Explores data science topics like data cleaning, data visualization, and probability
- Provides real-world examples, tips, and tricks for effective learning
- Suitable for beginners looking to master Python programming and data science
| Publisher | Independently published |
| Publication date | June 4, 2021 |
| Language | English |
| Print length | 348 pages |
| ISBN-13 | 979-8514861651 |
| Item Weight | 1.31 pounds (590 grams) |
| Dimensions | 6 x 0.98 x 9 inches (15.2 x 2.5 x 22.9 cm) |
Who Should Buy?
-
Absolute Beginners
Newcomers to programming will find this guide very helpful as it introduces Python concepts clearly and effectively.
-
Data Science Aspirants
Those interested in data science can benefit from practical examples and beginner-friendly explanations of related Python applications.
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Quick Learners
Individuals looking for a fast-paced learning experience will appreciate the concise tips and examples provided in the book.
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Experienced Programmers
Seasoned developers may find the content too basic and lacking depth, as it focuses on fundamental concepts.
Product Description
Python For Beginners. 2 Books in 1: A Completed Guide to Master the Basics of Python Language Programming and Data Science. Learn Coding Fast with Examples and Tips
About This Item
Introducing "Python For Beginners. 2 Books in 1: A Completed Guide to Master the Basics of Python Language Programming and Data Science" Are you eager to learn about Python programming and data science? Look no further! With "Python For Beginners. 2 Books in 1," you'll get an all-in-one guide that covers Python language programming as well as data science concepts.
Whether you're a novice or have some programming experience, this book is designed to help you master Python quickly and efficiently. Packed with practical examples and valuable tips, it provides a comprehensive foundation for both beginners and those looking to enhance their existing skills. The first book, "Python Language Programming," is the perfect starting point for beginners. It covers all the essentials of Python programming, including the basics of syntax, variables, control flow, functions, and more.
You'll learn how to write clean and efficient Python code, and gain a solid understanding of the language. The second book, "Data Science with Python," takes your Python knowledge a step further and focuses on data science concepts. Discover how to analyze and visualize data using Python libraries such as Pandas and Matplotlib. Dive into the world of data manipulation, exploratory data analysis, and machine learning with Python.
Master the art of creating insightful data visualizations and gain the skills needed to extract meaningful insights from complex datasets. With these two books combined, you'll have a comprehensive resource to become proficient in Python programming and data science. Written in a beginner-friendly and easy-to-understand manner, this guide is perfect for self-study or as a reference tool. Don't miss out on this opportunity to kickstart your journey into the world of Python programming and data science! Get your copy of "Python For Beginners. 2 Books in 1: A Completed Guide to Master the Basics of Python Language Programming and Data Science" today and start coding with confidence.
Have any Query? Chat with us
Customer Questions & Answers
-
Question:
What topics are covered in 'Python For Beginners: 2 Books in 1'?
Answer: The book covers fundamental topics in Python programming, including variables, data types, control structures, and functions. Additionally, it delves into the basics of data science, such as data analysis, visualization, and statistics. This comprehensive approach allows readers to understand how to apply programming concepts in real-life data scenarios, making it an ideal choice for those looking to build a solid foundation in both Python and data science. -
Question:
Is this book suitable for complete beginners?
Answer: Yes, 'Python For Beginners: 2 Books in 1' is specifically designed for those who have no prior programming experience. Each concept is explained in a straightforward manner, accompanied by examples and exercises that gradually build your skills. This makes it suitable for students, professionals changing careers, or anyone keen on learning to program and analyze data without a technical background. -
Question:
How do I know if this book will help me learn Python quickly?
Answer: The book employs a structured approach that emphasizes practical coding exercises and real-world applications, which enhances learning speed. It also includes tips and tricks for coding efficiently, which caters to learners who want to grasp concepts rapidly. By providing practical scenarios and coding projects, readers can practice and solidify their understanding, giving them a quicker path to become proficient in Python. -
Question:
Can this book help me get started in data science?
Answer: Absolutely. Alongside Python programming, the book introduces essential data science concepts, such as data visualization and statistical analysis. By learning these skills in tandem with coding, readers are better prepared for introductory roles in data analysis or to further their studies in data science. The integration of both subjects allows a deeper understanding of how Python is used in the data field. -
Question:
Are there any prerequisites to understand this book?
Answer: There are no formal prerequisites to understanding this book; it is tailored for absolute beginners. However, having a basic understanding of computers and how to navigate them will help. The book is designed to help you progress from the very basics to more complex concepts. Therefore, anyone motivated to learn can start without fear of being overwhelmed. -
Question:
How interactive is the content in 'Python For Beginners'?
Answer: The book offers a high level of interactivity with numerous coding examples, exercises, and quizzes designed to reinforce your understanding. Each chapter provides code snippets that encourage you to experiment with Python on your own. This hands-on approach is effective for reinforcing concepts, ensuring that readers can actively participate in their learning experience. -
Question:
What programming environment is recommended for beginners using this book?
Answer: For beginners, using an Integrated Development Environment (IDE) like PyCharm, or online platforms like Jupyter Notebook, is recommended. These tools provide user-friendly ways to write and test code. The book may include tips for setting up these environments, making the transition from reading to practicing seamless and efficient, thus enhancing your learning experience. -
Question:
Is there any guidance on projects or applications in the book?
Answer: Yes, the book includes several practical projects that allow readers to apply the skills they learn to real-world situations. From simple Python scripts to basic data analyses, these projects will help you understand how Python coding translates into functional applications, setting a solid ground for further exploration in software development or data science. -
Question:
What makes this book stand out from other Python programming books?
Answer: This book stands out due to its dual focus on both Python programming and data science within one volume. Unlike many books that focus solely on programming, this comprehensive guide equips readers with the knowledge to not only code but also analyze data. This unique combination makes it ideal for learners focusing on practical applications in today’s data-driven world. -
Question:
Where can I buy Python For Beginners: 2 Books in 1 in Montserrat?
Answer: You can find 'Python For Beginners: 2 Books in 1' on Ubuy in Montserrat. Ubuy offers a reliable avenue for purchasing this comprehensive guide, ensuring that you receive a quality product tailored for your learning needs in programming and data science.
Software Development Editorial Review
Python For Beginners. 2 Books in 1: A Completed Guide to Master the Basics of Python Language Programming and Data Science. Learn Coding Fast with Examples and Tips offers a comprehensive introduction to Python programming. With a print length of 348 pages, this guide is perfect for novices eager to enter the world of coding. Readers appreciate the approachable writing style and practical examples that facilitate learning. The second book delves into data analysis, showcasing Python's capabilities in real-world applications. Many have found it invaluable for gaining insights into both programming and data science, making it a strong resource for anyone looking to develop their skills in Python.
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Pros
- Comprehensive introduction to Python programming
- Practical examples enhance learning experience
- Focused on data analysis applications
- Easy to understand for beginners
- Good comparison with other programming languages
Cons
- More graphics would enhance the learning experience
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Features & Benefits
- 2 Books in 1: Python Programming for Beginners and Data Science with Python
- Comprehensive guide on data types, operators, loops, functions, and more
- Detailed information on data science basics and applications
- Comparison of Python with other languages
- Tips and tricks for Python programming and common challenges
- Guide to data cleaning, preparation, and visualization
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