Python: Data Science, (Paperback)
RSD 2765
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Data Science with Python is a complete guidebook for anyone who wants to become an ace data scientist using Python.
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Детаљи о производу
- When you get up, what you cook, eat, where you go, what you buy, how will be your health all depend on the data!Data Science with Python is a book created to hold the hands of beginners and help them stand in the field of data science! It will start with complete basics likewhy learn data science?And what are its uses? Also, you should prefer reading it now because: Easy to understand and help beginners to play with data instead of dealing with itUse of infographics and illustrations to relieve the boredom of lengthy textsCovering all the essential libraries and packages like Pandas, NumPy, SciPy and MatplotlibExercise & questions to practice your skillsLearn how to read data in HTML, CSV, JSON, and excel filesLearn how to process data using the NumPy and SciPy packageLearn how to analyze data using the Pandas libraryLearn how to plot graphs, charts, 3D graphs, etc using the Matplotlib libraryTest your knowledge with a PROJECT at the endData Science with Python is a complete guidebook for anyone who wants to become an ace data scientist using Python. This book will not start with Python basics but data science basics!
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | January, 2022 |
| Pages | 140 |
| Subgenre | Data Science |
| Series title | No Series |
| Edition | 1 |
| Publisher | Rahul Mula |
| Original languages | English |
| Language | English |
| Educational level | General |
| Is collectible | N |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.00 x 0.30 x 9.00 Inches (15.2 x 0.8 x 22.9 cm) |
| Assembled product weight | 0.43 lb (200 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
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Beginner Data Scientists
Ideal for new data scientists seeking a comprehensive introduction to Python for data analysis and visualization.
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Students in STEM
Great resource for students in science, technology, engineering, and math seeking to learn practical data science skills.
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Self-Learners
Perfect for individuals motivated to independently learn data science using Python through structured examples and exercises.
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Experienced Data Analysts
Not suitable for seasoned analysts looking for advanced topics, as it focuses primarily on foundational concepts.
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Како купити Python: Data Science, (Paperback) на мрежи од Убуи-а?
Odgovor: Лако је куповати Python: Data Science, (Paperback) на мрежи од Убуи-а.. Морате само да потражите производ, изаберете начин испоруке приликом одјављивања и да га испоручите на вашу локацију. -
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Да ли је Python: Data Science, (Paperback) доступан за онлајн куповину у Serbia?
Odgovor: Да, у Убуи Serbia овај производ је доступан за куповину по разумној цени.. Python: Data Science, (Paperback) није доступан локално, али можете нам веровати у наше услуге експресне испоруке. -
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Rahul Mula All Books Editorial Review
Python: Data Science is a non-fiction paperback that delves into the world of data science, published in January 2022. With 140 pages, this book caters to general educational levels, making it accessible for those interested in computing and internet technologies. The book, authored by Rahul Mula, covers essential concepts that are crucial for aspiring data scientists. Readers appreciate its clarity and practical examples, making complex topics easier to grasp, perfect for both beginners and those looking to refresh their knowledge. Its lightweight design and compact size make it a handy resource for on-the-go learning.
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Прос
- Clear explanations for beginners
- Practical examples throughout the book
- Compact size for easy transport
- Engaging content for data science enthusiasts
- Recent publication with up-to-date practices
Цонс
- Limited depth on advanced topics
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RSD 2765
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Карактеристике и предности
- Easy to understand and helps beginners to play with data
- Uses infographics and illustrations to relieve boredom of lengthy texts
- Covers essential libraries and packages like Pandas, NumPy, SciPy, and Matplotlib
- Includes exercises and questions for practice
- Teaches how to read and process data in various formats
- Ends with a project to test knowledge
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