Python: Data Science, (Paperback)
Data Science with Python is a complete guidebook for anyone who wants to become an ace data scientist using Python.
Python: Data Science, (Paperback)
artikal br.: 83820775

Python: Data Science, (Paperback)

artikal br.: 83820775

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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What Stands Out

Comprehensive Guide
Offers an in-depth exploration of Python for data science, covering essential libraries and techniques for effective data manipulation and analysis.
Practical Examples
Includes real-world examples and case studies that enhance understanding and provide hands-on experience with Python applications in data science.
Accessible to All
Designed for beginners and intermediate learners, making complex concepts approachable without assuming prior programming experience.

Детаљи о производу

Shop Python: Data Science, (Paperback) online at a best price in Serbia. 879757763
  • 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 formatPaperback
Fiction/nonfictionNon-Fiction
GenreComputing & Internet
Publication dateJanuary, 2022
Pages140
SubgenreData Science
Series titleNo Series
Edition1
PublisherRahul Mula
Original languagesEnglish
LanguageEnglish
Educational levelGeneral
Is collectibleN
Retail packagingSingle 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 weight0.43 lb (200 grams)
Bisac subject headingComputers

Who Should Buy?

Suitable For
  • Beginner Data Scientists

    Ideal for new data scientists seeking a comprehensive introduction to Python for data analysis and visualization.

  • Students in STEM

    Great resource for students in science, technology, engineering, and math seeking to learn practical data science skills.

  • Self-Learners

    Perfect for individuals motivated to independently learn data science using Python through structured examples and exercises.

Not Suitable For
  • Experienced Data Analysts

    Not suitable for seasoned analysts looking for advanced topics, as it focuses primarily on foundational concepts.

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    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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    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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