Jupyter Notebook for All. Complete Jupyter Notebook for Data Science Big Course




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Course Files:
https://drive.google.com/file/d/11ab3_BS3FklP1jGvEe_G_5aM0XFac9Bg/view?usp=sharing

Part 2:
https://drive.google.com/file/d/1iS38oUhc6W-W2A4iOC6KBtZikXh3MLgY/view?usp=sharing

A great Data Science engineer earns more than $150000 per year!
Jupyter Notebook is a web-based environment that enables interactive computing in notebook documents. It allows you to create and share documents that contain live code, equations, visualizations, and explanatory text. The Jupyter Notebook system is extensively used in domains such as data cleaning and transformation, numerical simulation, statistical modeling, machine learning, and much more. This tutorial starts with a detailed overview of the Jupyter Notebook system and its installation in different environments. Next you will learn to integrate the Jupyter system with different programming languages such as R, Python, JavaScript, and Julia; further, you’ll explore the various versions and packages that are compatible with the Notebook system. Moving ahead, you’ll master interactive widgets, namespaces, and working with Jupyter in multiuser mode. Towards the end, you will use Jupyter with a big dataset and will apply all the functionalities learned throughout the video.
This video caters to all developers, students, and educators who want to execute code, see the output and comment all in the same document, the browser. Data science professionals will also find this tutorial very useful in performing technical and scientific computing in a graphical, agile manner.
It would be useful to:
Data Scientists, Data Analysts, and Data Engineers
Mathematicians, Statisticians, Scientists, and Engineers
Image Processing and Computer Vision Professionals
Machine Learning and AI Professionals
Bioinformatics and Biostatistics professionals
Programmers and Developers
Students, Job seekers, anyone wanting to learn new stuff

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Comment List

  • Best PYTHON Courses and Tutorials
    November 13, 2020

    17:00 – Getting "df not defined",

    despite following the instructions and looking on stack overflow. Struggling to find solution

  • Best PYTHON Courses and Tutorials
    November 13, 2020

    Timestamps will be extremely helpful please

  • Best PYTHON Courses and Tutorials
    November 13, 2020

    Time stamps:
    25:00 SQL jupyter extension. Comment with timestamps u guys see

  • Best PYTHON Courses and Tutorials
    November 13, 2020

    Merci

  • Best PYTHON Courses and Tutorials
    November 13, 2020

    Thanks a lot.! very helpful.

  • Best PYTHON Courses and Tutorials
    November 13, 2020

    Hi @Best PYTHON Courses and Tutorials, I'm a big fan of your tutorials and would love to collaborate with you! How should I contact you?

  • Best PYTHON Courses and Tutorials
    November 13, 2020

    nice but not for python3?

  • Best PYTHON Courses and Tutorials
    November 13, 2020

    Thanks

  • Best PYTHON Courses and Tutorials
    November 13, 2020

    A Table of Contents (with time stamps) would be nice before committing 5 hours to this.

  • Best PYTHON Courses and Tutorials
    November 13, 2020

    time codes?

  • Best PYTHON Courses and Tutorials
    November 13, 2020

    thanks a lot.

  • Best PYTHON Courses and Tutorials
    November 13, 2020

    Thanks for the content

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