Using Jupyter Notebooks for Data Science Analysis in Python

Category: Tutorial


Posted on 2018-05-28, by voska89.

Description




Using Jupyter Notebooks for Data Science Analysis in Python
MP4 | Video: AVC 1280x720 | Audio: AAC 48KHz 2ch | Duration: 2 Hours | 4.44 GB
Genre: eLearning | Language: English




Lesson 1: Project Jupyter and the Jupyter Ecosystem
Learning objectives
1.1 What are Project Jupyter and the Jupyter Notebook?
1.2 How Jupyter facilitates collaboration and sharing in data science
1.3 Differentiate between the Jupyter Notebook and other Jupyter projects
1.4 Find resources and connect with the Jupyter community through Jupyter.org
1.5 Learn through example using the Gallery of Interesting Jupyter Notebooks and GitHub
1.6 Contribute to the Jupyter ecosystem via GitHub
1.7 Participate in open source computing through NumFOCUS

Lesson 2: Creating Data Science Analyses in the Jupyter Notebook
Learning objectives
2.1 Determine which Python version to install
2.2 Install Jupyter using the Anaconda distribution of Python
2.3 Start your Jupyter Notebook using the command-line interface (CLI)
2.4 Start your Jupyter Notebook using the Anaconda Navigator
2.5 Run an ephemeral Interactive Jupyter Notebook on the web
2.6 Run Jupyter Notebooks in the cloud using Azure Notebooks
2.7 Run Jupyter Notebooks using Nteract
2.8 Navigate the Jupyter Notebook environment
2.9 Maintain good notebook hygiene
2.10 Perform quantitative exploratory data analysis (EDA) in your Jupyter Notebook using Python
2.11 Perform Visual Exploratory data analysis (EDA) in your Jupyter Notebook using Python
2.12 Create Jupyter Notebooks with different kernels (including R)
2.13 Install the R kernel

Lesson 3: Sharing Jupyter Notebooks
Learning objectives
3.1 Work with .ipynb files
3.2 Install nbconvert
3.3 Convert your Jupyter Notebook to different formats: HTML, PDF, and .py
3.4 Create dynamic presentation slides from your Jupyter Notebook using RISE
3.5 Share Jupyter Notebooks using GitHub and nbviewer
3.6 Access Jupyter Notebooks using Azure Notebooks
3.7 Compare and merge Jupyter Notebooks with nbdime

Lesson 4: Exploring New Jupyter Projects In-Depth
Learning objectives
4.1 Understand the basics of JupyterHub
4.2 Install and explore JupyterLab
4.3 Work with others using Real Time Collaboration
4.4 Enhance your analysis with interactive Jupyter Widgets
4.5 Share custom environments with Binder and BinderHub











Download (Uploadgig)
https://uploadgig.com/file/download/b9c178069AdB0e35/jau04.Using.Jupyter.Notebooks.for.Data.Science.Analysis.in.Python.part1.rar
https://uploadgig.com/file/download/9818183668b2a098/jau04.Using.Jupyter.Notebooks.for.Data.Science.Analysis.in.Python.part2.rar

Download ( NitroFlare )
http://nitroflare.com/view/4FF0A6C004273E0/jau04.Using.Jupyter.Notebooks.for.Data.Science.Analysis.in.Python.part1.rar
http://nitroflare.com/view/887F46211B06A15/jau04.Using.Jupyter.Notebooks.for.Data.Science.Analysis.in.Python.part2.rar

Download ( Rapidgator )
http://rapidgator.net/file/d533c727a333c5224c203f01b5c4aa8f/jau04.Using.Jupyter.Notebooks.for.Data.Science.Analysis.in.Python.part1.rar.html
http://rapidgator.net/file/695d739296aaec02c492f74d9d23ad4d/jau04.Using.Jupyter.Notebooks.for.Data.Science.Analysis.in.Python.part2.rar.html

Sponsored High Speed Downloads
8039 dl's @ 2777 KB/s
Download Now [Full Version]
7188 dl's @ 3404 KB/s
Download Link 1 - Fast Download
6577 dl's @ 2283 KB/s
Download Mirror - Direct Download



Search More...
Using Jupyter Notebooks for Data Science Analysis in Python

Search free ebooks in ebookee.com!


Related Archive Books

Archive Books related to "Using Jupyter Notebooks for Data Science Analysis in Python":



Links
Download this book

No active download links here?
Please check the description for download links if any or do a search to find alternative books.


Related Books

  1. Ebooks list page : 36235
  2. 2018-05-23Using Jupyter Notebooks for Data Science Analysis in Python
  3. 2018-06-05Functional Programming in R Advanced Statistical Programming for Data Science, Analysis and Finance
  4. 2018-03-06Functional Programming in R Advanced Statistical Programming for Data Science, Analysis and Finance
  5. 2018-01-31[PDF] Functional Programming in R: Advanced Statistical Programming for Data Science, Analysis and Finance
  6. 2018-01-14Advanced Object-Oriented Programming in R Statistical Programming for Data Science, Analysis and Fi...
  7. 2017-11-28Functional Programming in R Advanced Statistical Programming for Data Science, Analysis and Finance
  8. 2017-11-28Advanced Object-Oriented Programming in R Statistical Programming for Data Science, Analysis and Fi...
  9. 2017-11-22Advanced Object-Oriented Programming in R Statistical Programming for Data Science, Analysis and Fi...
  10. 2017-11-22Functional Programming in R Advanced Statistical Programming for Data Science, Analysis and Finance
  11. 2017-11-20Functional Programming in R Advanced Statistical Programming for Data Science, Analysis and Finance
  12. 2017-11-20Advanced Object-Oriented Programming in R Statistical Programming for Data Science, Analysis and Fi...
  13. 2017-11-15Functional Programming in R Advanced Statistical Programming for Data Science, Analysis and Finance
  14. 2017-11-15Advanced Object-Oriented Programming in R Statistical Programming for Data Science, Analysis and Fi...
  15. 2017-11-10Metaprogramming in R: Advanced Statistical Programming for Data Science, Analysis and Finance
  16. 2017-11-10Functional Programming in R Advanced Statistical Programming for Data Science, Analysis and Finance
  17. 2017-11-10Advanced Object-Oriented Programming in R Statistical Programming for Data Science, Analysis and Fi...
  18. 2017-10-31Functional Programming in R Advanced Statistical Programming for Data Science, Analysis and Finance
  19. 2017-10-31Advanced Object-Oriented Programming in R Statistical Programming for Data Science, Analysis and Fi...
  20. 2017-10-19Functional Programming in R Advanced Statistical Programming for Data Science, Analysis and Finance

Comments

No comments for "Using Jupyter Notebooks for Data Science Analysis in Python".


    Add Your Comments
    1. Download links and password may be in the description section, read description carefully!
    2. Do a search to find mirrors if no download links or dead links.

    required

    required, will not be published

    need login

    required

    Not clear? Click here to refresh.

    Back to Top