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Can I read Hands-On Data Science with the Command Line : Automate Everyday Data Science Tasks Using Command-line Tools on EtoBox?

Hands-On Data Science with the Command Line : Automate Everyday Data Science Tasks Using Command-line Tools by Jason Morris & Chris McCubbin & Raymond Page [Jason Morris] is a nonfiction available to read on EtoBox.

What is Hands-On Data Science with the Command Line : Automate Everyday Data Science Tasks Using Command-line Tools about?

Annotation Develop, deploy, and streamline your data science projects with the most popular end-to-end platform, AnacondaKey Features-Use Anaconda to find solutions for clustering, classification, and linear regression-Analyze your data efficiently with the most powerful data science stack-Use the Anaconda cloud to store, share, and discover projects and librariesBook DescriptionAnaconda is an open source platform that brings together the best tools for data science professionals with more than 100 popular packages supporting Python, Scala, and R languages. Hands-On Data Science with Anaconda gets you started with Anaconda and demonstrates how you can use it to perform data science operations in the real world. The book begins with setting up the environment for Anaconda platform in order to make it accessible for tools and frameworks such as Jupyter, pandas, matplotlib, Python, R, Julia, and more. You'll walk through package manager Conda, through which you can automatically manage all packages including cross-language dependencies, and work across Linux, macOS, and Windows. You'll explore all the essentials of data science and linear algebra to perform data science tasks using pa

Who reads Hands-On Data Science with the Command Line : Automate Everyday Data Science Tasks Using Command-line Tools?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Jason Morris & Chris McCubbin & Raymond Page [Jason Morris]
Publisher
Packt Publishing - ebooks Account
Published
2019
Language
EN
ISBN
9781788831192
Category
nonfiction
Subjects
Management, Science, Technology

Other editions & translations

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