Learning Path: Jupyter: Interactive Computing with Jupyter

Course Feature
  • Cost
    Paid
  • Provider
    Udemy
  • Certificate
    Paid Certification
  • Language
    English
  • Start Date
    2017-04-18
  • Learners
    No Information
  • Duration
    No Information
  • Instructor
    Packt Publishing
Next Course
3.3
290 Ratings
This Learning Path is designed to help new learners understand the Jupyter Notebook, an open-source web application that supports more than 40 programming languages. Dan Toomey, a 20+ year veteran of application development, will guide learners through the process of integrating the Jupyter system with different programming languages, such as R, Python, JavaScript, and Julia. Learners will also learn how to use interactive widgets, namespaces, and work with Jupyter in the multiuser mode. By the end of the course, learners will be able to write code, compute mathematical formulae, create graphics, and view the output, all in a single document and web browser. Click this course to learn how to use Jupyter Notebook and access Big Data with ease!
Show All
Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 27th, 2023]

This Learning Path is designed to help new learners understand the Jupyter Notebook, an open-source web application that supports more than 40 programming languages. It will teach learners how to integrate the Jupyter system with different programming languages, such as R, Python, JavaScript, and Julia. Learners will also learn how to use interactive widgets, namespaces, and work with Jupyter in the multiuser mode. Additionally, learners will learn how to share their Notebook with colleagues and access Big Data using Jupyter. By the end of the Learning Path, learners will be able to write code, compute mathematical formulae, create graphics, and view the output, all in a single document and web browser. This course is authored by Dan Toomey, who has over 20 years of experience developing applications and has worked in a variety of industries and companies in roles from the sole contributor to VP/CTO level.

Course Syllabus

Jupyter Notebook for All – Part I

Jupyter Notebook for All – Part II

Show All
Recommended Courses
an-introduction-getting-started-with-jupyter-notebook-9855
An Introduction: Getting Started with Jupyter Notebook
3.3
Udemy 3,024 learners
Learn More
This course provides a comprehensive introduction to Jupyter Notebook, a popular open-source web application used by data scientists, analysts, and researchers. Learners will learn how to install and set up Jupyter Notebook, create and execute code cells in Python, and perform data manipulation and analysis using popular Python libraries. They will also learn how to collaborate with others by sharing and exporting notebooks. By the end of the course, learners will have a solid understanding of Jupyter Notebook and be able to use it to perform basic data science tasks. Join this course to get started with Jupyter Notebook and become a data science expert!
data-analysis-crash-course-for-beginners-pandas-python-9856
Data Analysis Crash Course For Beginners (Pandas + Python)
4.8
Udemy 1,825 learners
Learn More
This Data Analysis Crash Course For Beginners (Pandas + Python) is the perfect way to get started with Data Analysis. Learners will gain a comprehensive understanding of the fundamentals of Data Analysis with Python and Pandas library. Through this course, learners will be able to work with Pandas, iPython, Jupyter Notebook, CSV, Excel, TXT, JSON Files and API Responses, and DataFrames (Indexing, Slicing, Adding and Deleting). After completing this course, learners will have a solid foundation in Data Analysis and be ready to explore more in-depth topics in the future.
data-science-real-world-computing-with-jupyter-notebook-9857
Data Science & Real World Computing with Jupyter Notebook
3.6
Udemy 172 learners
Learn More
This course is designed to teach new learners the fundamentals of data science and real-world computing with Jupyter Notebook. It provides a step-by-step guide to exploring the possibilities in the field of Jupyter, from data exploration to visualization. Learners will learn how to use Jupyter's features to perform various data science tasks, such as data scraping and cleaning, and how to integrate Python 3, R, and Julia with Jupyter for various data science tasks. Take this course to learn how to leverage the power of Jupyter to perform data science tasks efficiently. You will also learn to create insightful visualizations, showing time-stamped and spatial data, and master relatively advanced methods in interactive numerical computing, high-performance computing, and data visualization.
free ethical-hacking-kali-linux-fundamentals-9858
Ethical Hacking - Kali Linux Fundamentals
4.0
Udemy 14,428 learners
Learn More
This Ethical Hacking - Kali Linux Fundamentals course is perfect for those who are new to Kali Linux and want to get their feet wet. It covers basic setup, terminal navigation, and core operating system structure. It also covers Linux basics such as the file system, boot process, and terminal navigation and manipulation. Additionally, it covers Linux administration and understanding users, permissions, and groups at a deeper level. There are also assignments to help build retention and understanding of the course material. So, if you're looking to learn the basics of Kali Linux, this is the perfect course for you!
Favorites (0)
Favorites
0 favorite option

You have no favorites

Name delet
arrow Click Allow to get free Learning Path: Jupyter: Interactive Computing with Jupyter courses!