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In-Depth Discussion on Anaconda and Jupyter Notebook

Fee:

Free

Sonali

Mrs. Sonali Singh

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    • Price:

    Free

    • Instructor:

    Mrs. Sonali Singh

    • Duration:
    • Lectures:
    • Course Credit:
    • Videos:

    2 Hours

    • Certification Body:
    • Project:
    • Placement Training:
    • Language:

    English

    • Access:
    • Downloadable Resources:
    • Shareable Certificate:
    During the webinar on In-Depth Discussion on Anaconda and Jupyter Notebook, participants can expect to learn the Anaconda: Anaconda is a distribution of Python and R programming languages for data science and machine learning, offering a comprehensive suite of tools, libraries, and packages. Jupyter Notebook: Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text, making it popular for data analysis and research.

    Objectives

    In this engaging session, we embarked on a comprehensive journey through the world of Anaconda and Jupyter Notebook. Our panel of experts dissected the functionalities of Anaconda, the dynamic platform that simplifies package management and environment setup. Attendees gained insights into its seamless installation process, efficient package handling, and how it contributes to a streamlined workflow for various programming projects.
    Anaconda Jupyter Notebook Data Science Data Analysis
    Jupyter Notebook Usage: Proficiency in using Jupyter Notebook for creating, editing, and running code cells, as well as adding documentation and visualizations.

    What Will You Learn

    By the end of this webinar the student is going to learn and explore the versatile features of Jupyter Notebook, an interactive interface cherished by data scientists and programmers alike. From its interactive coding environment to markdown integration, we showcased how Jupyter Notebook empowers professionals to present and iterate their ideas effectively.
    Code Documentation: Techniques for effectively documenting code and analysis steps to improve collaboration and project understanding.
    Package Management: Managing Python packages and libraries using Anaconda's package manager, Conda.

    SKILLS YOU WILL GAIN

    Code Documentation: Techniques for effectively documenting code and analysis steps to improve collaboration and project understanding.Package Management: Managing Python packages and libraries using Anaconda's package manager, Conda.
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        Instructor

        Sonali

        Mrs. Sonali Singh

        IT Data Science
        IT Data Science

        B. TECH-M. TECH, Ph.D. (PURSUING), Assistant professor & Subject Matter Expert (DATA SCIENCE), Assistant professor & Subject Matter Expert (DATA SCIENCE)

        4.0

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          Shareable Certificate

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          Level
          Basic
          Fees
          Free

          FAQs

          Yes, this course includes the In-Depth Discussion on Anaconda and Jupyter Notebook Certificate.

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            In-Depth Discussion on Anaconda and Jupyter Notebook
            In-Depth Discussion on Anaconda and Jupyter Notebook

            In-Depth Discussion on Anaconda and Jupyter Notebook

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