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46555200
Python Programming: The Complete Guide to Learn Python for Data Science, AI, Machine Learning, GUI and More With Practical Exercises and Interview
79% of respondents would recommend this to a friend
Item #:
46555200
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Python Programming: The Complete Guide to Learn Python for Data Science, AI, Machine Learning, GUI, and More With Practical Exercises and Interview Questions, you will learn a valuable skill that will improve your coding expertise!
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What Stands Out
Comprehensive Coverage
This guide covers Python applications across data science, AI, machine learning, and GUI, providing learners with a well-rounded skill set to tackle diverse tech challenges.
Practical Exercises
Includes hands-on exercises that reinforce learning, allowing users to apply concepts in real-world scenarios, enhancing retention and understanding of Python programming.
Interview Preparation
Equipped with targeted interview questions, the book prepares readers for technical interviews, boosting confidence and improving their chances of landing roles in tech industries.
Product Details
- Comprehensive Python programming guide for data science, AI, machine learning, GUI, and more
- Includes practical exercises to reinforce learning
- Covers interview questions to prepare for job interviews
- Provides in-depth understanding of Python for various applications
- Suitable for beginners and intermediate learners
- Includes real-world examples for practical application
| Publisher | Crawford Press |
| Publication date | January 20, 2021 |
| Language | English |
| Print length | 188 pages |
| ISBN-10 | 1990059929 |
| ISBN-13 | 978-1990059926 |
| Item Weight | 6.7 ounces (189.95 grams) |
| Dimensions | 5 x 0.4 x 8 inches (12.7 x 1 x 20.3 cm) |
Who Should Buy?
-
Beginner Programmers
Ideal for individuals new to programming who seek a comprehensive introduction to Python concepts and applications.
-
Data Science Enthusiasts
Perfect for those looking to leverage Python in data science, with focused modules on relevant techniques and tools.
-
Job Seekers
Contains practical exercises and interview questions, beneficial for preparing for job interviews in tech roles.
-
Advanced Users
Experienced programmers may find the content too basic and not challenging enough for their skill level.
Product Description
Python Programming: The Complete Guide to Learn Python for Data Science, AI, Machine Learning, GUI and More With Practical Exercises and Interview Questions
Have any Query? Chat with us
Customer Questions & Answers
-
Question:
What topics are covered in 'Python Programming: The Complete Guide'?
Answer: The guide covers a wide range of topics including data science, artificial intelligence, machine learning, and graphical user interfaces (GUI). Each section provides practical exercises to solidify understanding and application. This comprehensive approach allows learners to build a strong foundation in Python while also gaining insights into real-world applications, making it suitable for both beginners and advanced users looking to enhance their skillsets. -
Question:
Who is the target audience for this Python programming guide?
Answer: This guide is designed for various audiences, including beginners who have no prior programming experience and intermediate users looking to advance their Python skills. It's particularly beneficial for professionals in fields such as data science, AI, and machine learning who wish to enhance their technical skills. With practical exercises included, it caters to learners who prefer hands-on learning to reinforce theoretical knowledge. -
Question:
How does this guide facilitate learning through practical exercises?
Answer: The book includes numerous practical exercises that encourage active engagement with the content. These exercises allow learners to apply concepts in real-world scenarios, reinforcing their understanding of theoretical principles. Additionally, this hands-on approach helps to build confidence and practical skills needed for job interviews and project development in Python-based environments. -
Question:
What programming concepts can I expect to learn from this guide?
Answer: Readers can expect to learn fundamental concepts such as data types, control structures, and functions, as well as more advanced topics like object-oriented programming and libraries specific to data science and machine learning. Such a comprehensive curriculum equips users with the skills necessary to tackle various programming tasks, paving the way for developing complex AI algorithms or data-driven applications. -
Question:
Are there any prerequisites for reading this guide?
Answer: No specific prerequisites are required to start reading this guide. It is structured to accommodate learners at different levels, starting with fundamental concepts and gradually progressing to advanced topics. This makes it an ideal resource for anyone determined to learn Python, regardless of previous coding experience, fostering a more inclusive learning environment. -
Question:
How can learning Python from this guide benefit my career?
Answer: Learning Python through this guide can significantly enhance your career prospects, especially in data-heavy fields like data science and AI. The skills gained can set you apart in the job market, opening doors to opportunities in tech companies, financial services, and more. Mastery of Python is often a prerequisite for roles involving data analysis, machine learning, and software development, making this guide a valuable investment in your professional future. -
Question:
Does this guide include interview preparation material?
Answer: Yes, the guide includes sections specifically dedicated to interview preparation, focusing on common questions and coding challenges you may encounter when applying for positions in tech. These segments help you to anticipate questions and practice solutions, enhancing your confidence and readiness for the interview process, making it an ideal resource for job seekers in technology-related fields. -
Question:
Is this guide suitable for learning Python for web development?
Answer: While the primary focus is on data science, AI, and machine learning, many of the programming concepts covered are also applicable to web development. Understanding Python fundamentals can facilitate the transition to using frameworks like Flask or Django for web applications. Therefore, while not specifically geared towards web development, it can aid developers looking to broaden their programming foundations. -
Question:
What format is the guide available in?
Answer: The guide is available in multiple formats, including digital (eBook) and print editions. This flexibility allows learners to choose a format that best suits their learning style and preferences, whether they prefer reading on a screen or with a physical book in hand. Both formats include the same comprehensive content and practical exercises, ensuring a consistent and effective learning experience. -
Question:
Where can I buy 'Python Programming: The Complete Guide'?
Answer: You can purchase 'Python Programming: The Complete Guide' from Ubuy, which provides a reliable platform for acquiring this comprehensive resource. Ubuy often offers various international options, ensuring easy access for learners in Guadeloupe looking to enhance their Python programming skills with this informative guide.
Introductory & Beginning Editorial Review
Python Programming: The Complete Guide to Learn Python for Data Science, AI, Machine Learning, GUI and More With Practical Exercises and Interview Questions is an essential resource for anyone looking to master Python programming. Published by Crawford Press, this comprehensive guide spans 188 pages, offering practical exercises and insightful interview questions to solidify your understanding. The book is designed to cater to various aspects of programming, including data science and machine learning, making it relevant for aspiring developers. Readers have found the structured exercises particularly beneficial for reinforcing their learning, allowing them to practice and apply concepts effectively.
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Pros
- Comprehensive coverage of Python programming topics
- Practical exercises enhance learning experience
- Relevant for data science and AI enthusiasts
- Well-organized for easy navigation
- Includes interview questions for practice
Cons
- Some readers may prefer more advanced content
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Features & Benefits
- Python is a general-purpose programming language that is platform-independent and object-oriented
- It has a huge standard library for most internet platforms and is easy to read and learn
- This book will cover Python basics, data structures, object-oriented principles, file management, conditionals, and more
- Includes practical exercises and interview questions to improve your coding expertise
- Ideal for beginners with powerful tips and tricks to fast-track your learning journey
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