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Book Cover for: Optimum - Python Power - Series III - Unleashing the Potential of Data Science with Libraries, Shree Shambav

Optimum - Python Power - Series III - Unleashing the Potential of Data Science with Libraries

Shree Shambav

Paperback
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In the ever-evolving field of data science, Python libraries are indispensable tools, offering robust capabilities to streamline complex processes and solve real-world challenges. Whether you're diving into data manipulation, performing statistical analysis, exploring machine learning, or crafting insightful visualizations, these libraries are the backbone of modern data science workflows.

What's Inside

  • Foundations of Data Science: Start your journey with the core principles, building a strong base using the Python Standard Library to kickstart your data-driven projects.
  • Numerical Computing with NumPy: Gain efficiency in handling arrays, executing mathematical operations, and solving linear algebra problems seamlessly.
  • Data Manipulation with Pandas: Master the art of managing structured data, cleaning and preprocessing datasets, and conducting exploratory data analysis to uncover hidden insights.
  • Data Visualization with Matplotlib and Seaborn: Learn to create compelling plots, charts, and graphs that effectively communicate your data-driven findings.
  • Scientific Computing with SciPy: Explore a comprehensive toolkit for scientific and mathematical computations, enabling more in-depth analysis.
  • Machine Learning with Scikit-learn: Step into the realm of predictive modelling and machine learning, applying cutting-edge techniques to real-world data.

This book is tailored to help you think critically and solve real-world data challenges, making it an invaluable resource on your journey to becoming a proficient data scientist.

Book Details

  • Publisher: White Falcon Publishing
  • Publish Date: May 2nd, 2025
  • Pages: 756
  • Language: English
  • Edition: undefined - undefined
  • Dimensions: 10.00in - 8.00in - 2.05in - 4.38lb
  • EAN: 9789334275735
  • Categories: • Languages - Python• Data Science - Machine Learning
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