Linkedin - Python Tools Jupyter vs. PyCharm

"softddl.org"
24-10-2021, 22:35
Rating:
0
0 vote


  • Linkedin - Python Tools Jupyter vs. PyCharm
    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 - Python Tools Jupyter vs. PyCharm
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.


Homepage
https://www.linkedin.com/learning/python-tools-jupyter-vs-pycharm


Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me


Links are Interchangeable - No Password - Single Extraction
 
Comments
The minimum comment length is 50 characters. comments are moderated
There are no comments yet. You can be the first!
Download free » Tutorials » Linkedin - Python Tools Jupyter vs. PyCharm
Copyright holders