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{ "item_title" : "Julia Programming For Data Science", "item_author" : [" Jr. Oliver Lucas "], "item_description" : "Julia Programming for Data Science: A Beginner-Friendly ApproachEmbark on a journey into the world of data science with Julia, a powerful and dynamic programming language designed for high-performance computing. This beginner-friendly guide will equip you with the skills and knowledge to tackle complex data analysis tasks with ease and efficiency.What you'll learn: Fundamentals of Julia: Master the basics of Julia programming, including data types, variables, operators, control flow, and functions.Data Wrangling and Manipulation: Learn to import, clean, transform, and analyze data using Julia's versatile data structures and libraries.Statistical Modeling and Machine Learning: Explore statistical concepts and implement machine learning algorithms with Julia's extensive ecosystem of packages.Data Visualization: Create compelling visualizations of your data using Julia's powerful plotting libraries.Real-world Applications: Apply your Julia skills to solve practical data science problems across various domains.Why choose this book?Clear and concise explanations: Complex concepts are broken down into digestible chunks, making it easy for beginners to grasp.Hands-on examples: Numerous practical examples and exercises reinforce your learning and help you apply Julia to real-world scenarios.Focus on data science: Tailored specifically for aspiring data scientists, this book covers the essential Julia tools and techniques for data analysis.Beginner-friendly approach: No prior programming experience is required. This book starts from the ground up and gradually introduces more advanced concepts.Unlock the power of Julia and become a proficient data scientist. Start your journey today!", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/79/834/478/9798344780399_b.jpg", "price_data" : { "retail_price" : "13.89", "online_price" : "13.89", "our_price" : "13.89", "club_price" : "13.89", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Julia Programming For Data Science|Jr. Oliver Lucas

Julia Programming For Data Science : A Beginner-Friendly Approach

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Overview

Julia Programming for Data Science: A Beginner-Friendly Approach

Embark on a journey into the world of data science with Julia, a powerful and dynamic programming language designed for high-performance computing. This beginner-friendly guide will equip you with the skills and knowledge to tackle complex data analysis tasks with ease and efficiency.

What you'll learn:

  • Fundamentals of Julia: Master the basics of Julia programming, including data types, variables, operators, control flow, and functions.
  • Data Wrangling and Manipulation: Learn to import, clean, transform, and analyze data using Julia's versatile data structures and libraries.
  • Statistical Modeling and Machine Learning: Explore statistical concepts and implement machine learning algorithms with Julia's extensive ecosystem of packages.
  • Data Visualization: Create compelling visualizations of your data using Julia's powerful plotting libraries.
  • Real-world Applications: Apply your Julia skills to solve practical data science problems across various domains.

Why choose this book?

  • Clear and concise explanations: Complex concepts are broken down into digestible chunks, making it easy for beginners to grasp.
  • Hands-on examples: Numerous practical examples and exercises reinforce your learning and help you apply Julia to real-world scenarios.
  • Focus on data science: Tailored specifically for aspiring data scientists, this book covers the essential Julia tools and techniques for data analysis.
  • Beginner-friendly approach: No prior programming experience is required. This book starts from the ground up and gradually introduces more advanced concepts.

Unlock the power of Julia and become a proficient data scientist. Start your journey today!

This item is Non-Returnable

Details

  • ISBN-13: 9798344780399
  • ISBN-10: 9798344780399
  • Publisher: Independently Published
  • Publish Date: October 2024
  • Dimensions: 9.21 x 6.14 x 0.17 inches
  • Shipping Weight: 0.27 pounds
  • Page Count: 80

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