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Ultimate Data Science Programming in Python: Master data science libraries with 300+ programs, 2 projects, and EDA GUI tools (English Edition)
Ultimate Data Science Programming in Python: Master data science libraries with 300+ programs, 2 projects, and EDA GUI tools (English Edition)
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Ultimate Data Science Programming in Python: Master data science libraries with 300+ programs, 2 projects, and EDA GUI tools (English Edition)
Ultimate Data Science Programming in Python: Master data science libraries with 300+ programs, 2 projects, and EDA GUI tools (English Edition)
This ultimate book for mastering open-source libraries of data science in Python equips you with the essential tools and techniques to navigate the ever-evolving field of data analysis and visualization.
Ultimate Data Science Programming in Python: Master data science libraries with 300+ programs, 2 projects, and EDA GUI tools (English Edition)
Vare #: 110441149

Ultimate Data Science Programming in Python: Master data science libraries with 300+ programs, 2 projects, and EDA GUI tools (English Edition)

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This ultimate book for mastering open-source libraries of data science in Python equips you with the essential tools and techniques to navigate the ever-evolving field of data analysis and visualization.
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Hvad der skiller sig ud

Comprehensive Resource
This book offers over 300 Python programs, ensuring a robust understanding of data science libraries, perfect for both beginners and experienced practitioners seeking in-depth knowledge.
Hands-On Projects
Includes two practical projects that allow readers to apply theoretical knowledge to real-world scenarios, enhancing learning through immediate application.
User-Friendly Tools
Features EDA GUI tools that simplify exploratory data analysis, making complex data insights accessible and understandable, especially for those new to the field.

Produktdetaljer

Shop Ultimate Data Science Programming in Python: Master data science libraries with 300+ programs, 2 projects, and EDA GUI tools (English Edition) online at a best price in Danmark. 9365895669
  • DescriptionIn today's data-driven world, the ability to extract meaningful insights from vast datasets is crucial for success in various fields. This ultimate book for mastering open-source libraries of data science in Python equips you with the essential tools and techniques to navigate the ever-evolving field of data analysis and visualization.Discover how to use Python libraries like NumPy, Pandas, and Matplotlib for data manipulation, analysis, and visualization. This book also covers scientific computing with SciPy and integrates ChatGPT to boost your data science workflow. Designed for data scientists, analysts, and beginners, it offers a practical, hands-on approach to mastering data science fundamentals. With real-world applications and exercises, you will turn raw data into actionable insights, gaining a competitive edge. This book covers everything you need, including open-source libraries, Visual Explorer tools, and ChatGPT, making it a one-stop resource for Python-based data science.Readers will gain confidence after going through this book and we assure you that all the minute details have been taken into consideration while delivering the content. After reading, learning, and practicing from this book, we are sure that all IT professionals, novices, or job seekers will be able to work on data science projects thus proving their mettle.Key Features● Master key Python libraries like NumPy, Pandas, and Seaborn for effective data analysis and visualization.● Understand complex data science concepts through simple explanations and practical examples.● Get hands-on experience with 300+ solved examples to solidify your Python data science skills.What you will learn● Learn to work with popular IDEs like VS Code and Jupyter Notebook for efficient Python development.● Master open-source libraries such as NumPy, SciPy, Matplotlib, and Pandas through advanced, real-world examples.● Utilize automated EDA tools like PyGWalker and AutoViz to simplify complex data analysis.● Create sophisticated visualizations like heatmaps, FacetGrid, and box plots using Matplotlib and Seaborn.● Efficiently handle missing data, outliers, and perform filtering, sorting, grouping, and aggregation using Pandas and Polars.Who this book is forThis book is ideal for diploma, undergraduate, and postgraduate students from engineering and science fields to programming and software professionals. It is also perfect for data science, ML, and AI engineers looking to expand their expertise in cutting-edge technologies.Table of Contents1. Environmental Setup for Using Data Science Libraries in Python2. Exploring Numpy Library for Data Science in Python3. Exploring Array Manipulations in Numpy4. Exploring Scipy Library for Data Science in Python5. Line Plot exploration with Matplotlib Library6. Charting Data With Various Visuals Using Matplotlib7. Exploring Pandas Series for Data Science in Python8. Exploring Pandas Dataframe for Data Science in Python9. Advanced Dataframe Filtering Techniques10. Exploring Polars Library for Data Science in Python11. Exploring Expressions in Polars12. Exploring Seaborn Library for Data Science in Python13. Crafting Seaborn Plots: KDE, Line, Violin and Facets14. Integrating Data Science Libraries with ChatGPT Prompts15. Exploring Automated EDA Libraries for Machine Learning16. Case Study Using Python Data Science Libraries
Publisher BPB Publications
Publication date 25 Sept. 2024
Language English
Print length 556 pages
ISBN-10 9365895669
ISBN-13 978-9365895667
Item weight 884 g
Dimensions 19.05 x 3.2 x 23.5 cm

Hvem bør købe?

Suitable For
  • Aspiring Data Scientists

    Ideal for beginners seeking to learn data science concepts and practical programming in Python with projects.

  • Educators and Instructors

    Useful resource for teaching data science using hands-on programming examples and GUI tools for exploratory data analysis.

  • Professionals Upskilling

    Great for working professionals wanting to enhance their data science skills through practical applications and code examples.

Not Suitable For
  • Complete Beginners

    Not suitable for absolute newcomers to programming who lack foundational knowledge of Python or data science.

Produktbeskrivelse

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Kundespørgsmål og svar

  • spørgsmål: Is this book suitable for beginners?

    svar: Yes, it is designed for beginners as well as experienced data scientists.
  • spørgsmål: Will I learn about advanced visualization techniques?

    svar: Absolutely, the book covers sophisticated visualizations using Matplotlib and Seaborn.
  • spørgsmål: What kind of projects can I work on after reading this book?

    svar: You will be able to work on various data science projects, enhancing your practical skills.

Data Mining Editorial Review

Ultimate Data Science Programming In Python Master Data Science Libraries With 300+ Programs, 2 Projects, And EDA GUI Tools English Edition is a comprehensive guide aiming to enhance your data science skills, published by BPB Publications. This extensive 556-page book is designed for both beginners and experienced programmers, featuring over 300 programs and two detailed projects that cover essential Python libraries for data analysis and machine learning. Readers appreciate the practical approach of the content, which encourages hands-on learning through projects and EDA GUI tools. Its engaging style makes complex topics more accessible, helping aspiring data scientists grasp the fundamentals of programming effectively.

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Fordele

  • Comprehensive coverage of data science libraries
  • Includes over 300 practical programming examples
  • Two detailed projects for hands-on experience
  • Engaging writing style and user-friendly format
  • Focus on EDA GUI tools for data analysis

Ulemper

  • Contains advanced topics that may overwhelm beginners

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Egenskaber og fordele

  • Master essential Python libraries like NumPy, Pandas, and Matplotlib.
  • Learn data manipulation, analysis, and visualization with hands-on exercises.
  • Integrate ChatGPT to enhance your data science workflow.
  • Suitable for beginners, data scientists, and analysts looking to excel.
  • Includes real-world applications to turn raw data into actionable insights.
  • Complete resource covering everything needed for Python-based data science.

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