Python For The Jupyter Notebook

Python for the Jupyter Notebook  eBooks & eLearning

Posted by Sigha at March 17, 2020
Python for the Jupyter Notebook

Python for the Jupyter Notebook
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 1.36 GB
Genre: eLearning Video | Duration: 20 lectures (2 hour, 20 mins) | Language: English

Python Basics for new programmers using the Jupyter Notebook

Jupyter Notebook Complete Course  eBooks & eLearning

Posted by lucky_aut at Jan. 20, 2022
Jupyter Notebook Complete Course

Jupyter Notebook Complete Course
Duration: 1h 31m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.04 GB
Genre: eLearning | Language: English

Jupyter Notebook to work with Python and data science for absolute beginners

Practical Jupyter Notebook from Beginner to Expert  eBooks & eLearning

Posted by BlackDove at April 10, 2022
Practical Jupyter Notebook from Beginner to Expert

Practical Jupyter Notebook from Beginner to Expert
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 31 lectures • 8h 10m | Size: 3.18 GB


Python, Markdown, HTML, LaTex, Javascipts, R, Data Visulization and many more

Jupyter Notebook Essentials  eBooks & eLearning

Posted by lucky_aut at Sept. 29, 2024
Jupyter Notebook Essentials

Jupyter Notebook Essentials
Published 9/2024
Duration: 1h59m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 649 MB
Genre: eLearning | Language: English

A must have skill in a Data Scientist!

Jupyter Notebook Essentials  eBooks & eLearning

Posted by lucky_aut at Sept. 29, 2024
Jupyter Notebook Essentials

Jupyter Notebook Essentials
Published 9/2024
Duration: 1h59m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 649 MB
Genre: eLearning | Language: English

A must have skill in a Data Scientist!

Jupyter Notebook for Beginners  eBooks & eLearning

Posted by Sigha at Nov. 14, 2021
Jupyter Notebook for Beginners

Jupyter Notebook for Beginners
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 178 MB
Genre: eLearning Video | Duration: 11 lectures (33 mins) | Language: English

Start working with it Quickly

Jupyter Notebook - Big Data Visualization Tool  eBooks & eLearning

Posted by Sigha at Oct. 17, 2021
Jupyter Notebook - Big Data Visualization Tool

Jupyter Notebook - Big Data Visualization Tool
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 338 MB
Genre: eLearning Video | Duration: 28 lectures (1 hour) | Language: English

Jupyter Notebook - Big Data Visualization Tool for Data Scientist & Big data Engineers An Open Source Tool (Free Source)

Practical Data Analysis Using Jupyter Notebook (Repost)  eBooks & eLearning

Posted by DZ123 at Oct. 4, 2022
Practical Data Analysis Using Jupyter Notebook (Repost)

Marc Wintjen, Andrew Vlahutin, "Practical Data Analysis Using Jupyter Notebook: Learn how to speak the language of data by extracting useful and actionable insights using Python"
English | 2020 | ISBN: 1838826033 | PDF | pages: 309 | 7.7 mb
Docker for Data Science: Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server

Docker for Data Science: Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server By Joshua Cook
English | PDF | 2017 | 266 Pages | ISBN : 1484230116 | 6.94 MB

Learn Docker "infrastructure as code" technology to define a system for performing standard but non-trivial data tasks on medium- to large-scale data sets, using Jupyter as the master controller.
It is not uncommon for a real-world data set to fail to be easily managed. The set may not fit well into access memory or may require prohibitively long processing.
Docker for Data Science: Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server

Docker for Data Science: Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server by Joshua Cook
English | 25 Aug. 2017 | ISBN: 1484230116 | 284 Pages | EPUB | 2.28 MB

Learn Docker "infrastructure as code" technology to define a system for performing standard but non-trivial data tasks on medium- to large-scale data sets, using Jupyter as the master controller.