Learn the Basics of Jupyter Notebook, Data Manipulation, Visualization, and Collaboration in Python Environment
Published 2/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.08 GB | Duration: 1h 29m

Last updated 4/2017
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 333.97 MB | Duration: 2h 37m
More than 50 videos to help you get started with the Jupyter Notebook

Last updated 11/2017
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 404.71 MB | Duration: 4h 19m
Probe deep to enhance your expertise into interactive computing, sharing, and integrating using Jupyter

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 43m | Size: 2.1 GB
Get the most out of Jupyter to perform various data science tasks
What you'll learn

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 22 lectures (1h 31m) | Size: 937.9 MB
Jupyter Notebook to work with Python and data science for absolute beginners

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 28 lectures (7h 44m) | Size: 2.3 GB
Python, Markdown, HTML, LaTex, Javascipts, R, Data Visulization and many more

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 11 lectures (33 mins) | Size: 178 MB
Start working with it Quickly

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Beginner | Genre: eLearning | Language: English + srt | Duration: 29m | Size: 350.3 MB
As Python has risen in popularity, there are many tools and repositories that have also become increasingly important. Of the many that are available, Jupyter and PyCharm have emerged as leading tools. In this course, software engineer and instructor Sam Pettus provides you with the baseline knowledge you need to work effectively with both Jupyter and PyCharm, as well as determine which option works best for you. Sam begins by detailing the difference between integrated development environments (IDEs) and open-source web applications, as well as how each of these tools function. Sam then walks through the key differences between each tool when working on a data science project, including topics such as debugging and integrating data. He then goes over the user profiles that most commonly leverage each program, giving you the ability to make a decision between the two depending on the project or task at hand. After watching this course, you'll be familiar with the pros, cons, and use cases for each programming tool.

Linkedin Learning - Python Tools: Jupyter vs. PyCharm-XQZT
English | Size: 375.13 MB
Category: Tutorial