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Artikel #:
15192574
Intro to Python for Computer Science and Data Science: Learning to Program with Ai, Big Data and the Cloud, (Paperback)
82% of respondents would recommend this to a friend
Artikel #:
15192574
€ 108
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Hundreds of hands-on examples, exercises and projects offer a challenging and entertaining introduction to Python and data science.
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What Stands Out
Comprehensive Curriculum
Covers essential topics in Python, AI, big data, and cloud computing, providing a solid foundation for both computer science and data science students, bridging the gap between theory and practical application.
Hands-On Learning
Integrates practical exercises and projects that reinforce learning, enabling students to apply concepts in real-world scenarios, making programming engaging and accessible for beginners in tech fields.
Expert Insights
Written by industry professionals, offering valuable perspectives and best practices. Learners gain current knowledge and skills relevant to today's job market, enhancing their employability and expertise in tech.
Podrobnosti produkta
- Unique, modular approach to teaching introductory Python programming relevant for computer science and data science audiences
- Covers current topics and applications to prepare for a career
- Jupyter Notebooks supplements for testing programming skills
- Features fully implemented case studies in AI technologies and big data
- Includes hundreds of hands-on examples, exercises, and projects for an entertaining introduction to Python and data science
- Allows application of knowledge to projects in business, industry, government, and academia sectors
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | February, 2019 |
| Pages | 880 |
| Reading level | College/Higher Education |
| Subgenre | Languages |
| Series title | No Series |
| Edition | 1 |
| Publisher | Pearson Education |
| Original languages | English |
| Language | English |
| Edu focus | Technology |
| Educational level | General |
| Is collectible | N |
| Binding type | Perfect Binding |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.90 x 1.30 x 9.10 in (17.5 x 3.3 x 23.1 cm) |
| Assembled product weight | 2.75 lb (1.25 kg) |
| Bisac subject heading | Computers |
Who Should Buy?
-
Beginner Programmers
Ideal for individuals starting programming, with clear explanations and examples tailored for fresh learners.
-
Data Science Enthusiasts
A great resource for those interested in data science, covering essential tools like AI and big data applications.
-
Students in Tech
Perfect for computer science and data science students needing practical programming skills for their academic courses.
-
Advanced Developers
Experienced programmers may find the content too basic and not challenging enough for their skills.
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Paul Deitel All Books Editorial Review
Intro to Python for Computer Science and Data Science: Learning to Program with Ai, Big Data and the Cloud is an essential paperback guide that delves into the realms of computing with a focus on programming, making it ideal for college and higher education students. With 880 pages filled with insightful content, this book encompasses a range of educational themes from technology to programming languages. Readers have found it to be a comprehensive resource for understanding complex data science concepts and beneficial for those aiming to enhance their computer science skills. As it was published in February 2019, it offers up-to-date knowledge in the fast-evolving tech landscape.
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Prednosti
- Comprehensive coverage of Python programming
- Ideal for college-level education
- Focus on AI and big data applications
- Suitable for both beginners and advanced learners
- User-friendly paperback format
Slabosti
- Heavy for casual reading or transport
Product Price History
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€ 108
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Značilnosti in prednosti
- Unique, modular approach to teaching Python programming
- Relevant for both computer science and data science audiences
- Covers current topics and applications
- Opportunities to test programming skills with Jupyter Notebooks
- Implement case studies in artificial intelligence and big data
- Challenging and entertaining introduction to Python and data science
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