Jupyter notebook data science example
[PDF File] Analyzing PI Data with Python using JupyterNotebook - AVEVA
https://cdn.osisoft.com/osi/presentations/2020-uc-san-francisco-online/UC20NA-D3LD05-OSIsoft-Singh-Analyzing-PI-Data-with-Python-and-Jupyter-Notebook.pdf
•People interested in data science •People with development skills •People who want to solve problems adhoc •It's an example of reducing the cost of curiosity What it isn't •It is nota "how‐to" for data science. •It isnotan extensive deep dive into PI Web API •Example shown is not a product,
[PDF File] JupyterTutorial - Read the Docs
https://buildmedia.readthedocs.org/media/pdf/jupyter-tutorial/latest/jupyter-tutorial.pdf
JupyterTutorial,Release1.1.0 Jupyternotebooksaregrowinginpopularitywithdatascientistsandhavebecomethedefactostandardforrapid prototypingandexploratoryanalysis ...
[PDF File] Jupyter Notebook: Data Cleaning and Pre-Processing | 2020/21 …
https://lightonphiri.org/wp-content/uploads/2021/05/code-unza21-csc5741-notebook-data_preprocessing.pdf
Introduction. During these “hands-on” activities, we look at practical examples of how to clean data by implementing common pre-processing tasks and, additionally, focusing on text-specific pre-processing tasks. The moti-vation behind focusing on text is that it tends to require additional cleaning in comparison to other types of data.
The Story in the Notebook: Exploratory Data Science using a …
https://dl.acm.org/doi/pdf/10.1145/3173574.3173748
Figure 1. Excerpt from a Jupyter notebook [8] With a notebook, a programmer can produce a literate program that fits Knuth’s ideal definition: a chronological progression of Markdown cells, code cells, and output cells, explaining everything from top to bottom. However, the notebook environment does not enforce this structure. A
[PDF File] DATA SCIENCE EDUCATION IN SECONDAR Y SCHOOL S: …
https://www.researchgate.net/profile/Rolf-Biehler/publication/361474010_Data_science_education_in_secondary_schools_teaching_and_learning_decision_trees_with_CODAP_and_jupyter_notebooks_as_an_example_of_integrating_machine_learning_into_statistics_education/links/62bd4c005e258e67e1112e42/Data-science-education-in-secondary-schools-teaching-and-learning-decision-trees-with-CODAP-and-jupyter-notebooks-as-an-example-of-integrating-machine-learning-into-statistics-education.pdf
data science education in secondar y school s: teaching and learning decision trees with codap and jupyter notebooks as an example of integrating machine learning into statistics educat ion
Using the Jupyter Notebook as a Tool for Open Science: An …
https://arxiv.org/pdf/1804.05492
I. INTRODUCTION AND BACKGROUND The Jupyter notebook is an open-source, browser-based tool functioning as a virtual lab notebook to support workflows, code, data, and visualizations detailing the research process. It is machine and human-readable, which facilitates interoperability and scholarly communication. These notebooks can live in …
Five Guiding Principles to Make Jupyter Notebooks Fit for Earth ...
https://mdpi-res.com/d_attachment/remotesensing/remotesensing-14-03359/article_deploy/remotesensing-14-03359-v3.pdf?version=1658135377
Section 3 highlights five guiding principles for using Jupyter notebooks for Earth Observation data education. Section 4 puts our approach and results into a wider context, and Section 5 offers concluding remarks and an outlook. 2. Learning Tool for Python (LTPy) on Atmospheric Composition.
[PDF File] A complete Introudction to SASPy and Jupyter Notebooks
https://www.sas.com/content/dam/SAS/support/en/sas-global-forum-proceedings/2019/3238-2019.pdf
major uses in data science. JUPYTER NOTEBOOKS Jupyter Notebook (formerly known as iPython Notebook) offers an integrated environment for interactive programming, which simply means that the user can write and execute code within a single interface, as well as display many kinds of output directly inline with blocks of code.
[PDF File] Project Jupyter: From Computational Notebooks to Large Scale Data ...
https://learning.acm.org/binaries/content/assets/leaning-center/webinar-slides/2018/briangranger_webinarslides.pdf
The Jupyter Notebook • Project Jupyter (https://jupyter.org) started in 2014 as a spinoff of IPython • Flagship application is the Jupyter Notebook • Interactive, exploratory, browser-based computing environment for data science, scientific computing, ML/AI • Notebook document format (.ipynb): • Live code, narrative text, equations (LaTeX), images, …
[PDF File] Getting Started with Python and Jupyter Notebook
https://coessing.files.wordpress.com/2019/08/jupyternotebook_tutorial_bypaige.pdf
There are 3 ways to launch Jupyter Notebook: Using Anaconda Navigator. Open the application called Anaconda Navigator (this may take a couple of minutes) Click on “Launch” in the Jupyter Notebook box. Using Anaconda Prompt. Open the application called Anaconda Prompt. Type “jupyter notebook” (without quotes) and hit the return key. …
[PDF File] PySnippet: Accelerating Exploratory Data Analysis in Jupyter Notebook ...
https://ceur-ws.org/Vol-2322/BigVis_8.pdf
Facilitated Access to Example Code Alex Watson, Scott Bateman and Suprio Ray University of New Brunswick awatson@unb.ca,scottb@unb.ca,sray@unb.ca ABSTRACT Interactive environments like Jupyter Notebook, Mathematica, RStudio, and MATLAB are used to ease development in the grow-ing fields of data science and data analytics. …
[PDF File] Jupyter Notebook Cheatsheet - University of British Columbia
https://blogs.ubc.ca/advancedgis/files/2020/11/Jupyter_Cheatsheet.pdf
This is a list of common syntax used in Markdown cells in a Jupyter notebook to produce rich formatted text and embedded multimedia. To see the rendered output for these examples, you can open any Jupyter notebook, start editing a Markdown cell, insert the sample text, and execute the cell to view the formatted output (e.g,. by pressing CTRL ...
[PDF File] TOOLBOX BY JUPYTER, IT ALL MAKES SENSE - Nature
https://media.nature.com/original/magazine-assets/d41586-018-07196-1/d41586-018-07196-1.pdf
of data each night as it surveys the southern skies automatically. And to crunch those data, astronomers will use a familiar and increasingly popular tool: the Jupyter notebook. Jupyter is a free, open-source, interactive web tool known as a computational note-book, which researchers can use to combine software code, computational output, explana -
[PDF File] Open Source Intelligence (OSINT) Data Science Platform (DSP) - BAE Systems
https://www.baesystems.com/en-media/uploadFile/20211005011351/1573669492087.pdf
1. Turn-key data science environment for OSINT analysis, exploitation, and dissemination. 2. Clean, out-of-the-box data science and machine learning platform that leverages Jupyter notebooks to enable rapid development in a data centric MLOps lifecycle. 3. Versatile connectors interface with a range of storage technologies and compatibility ...
[PDF File] Enhancing Comprehension and Navigation in Jupyter Notebooks …
https://arxiv.org/pdf/2301.04419v2.pdf
annotation, literate programming, jupyter notebook I. INTRODUCTION Machine learning (ML) and data-science are evolving as a multi-disciplinary field, comprising of software engineering on one end and domain-specific knowledge on the other. The ML community has largely adopted Jupyter notebooks as the de-facto standard for developing ML …
[PDF File] USING JUPYTER NOTEBOOKS FOR VIEWING AND ANALYSING GEOSPATIAL DATA…
https://isprs-archives.copernicus.org/articles/XLVI-4-W2-2021/17/2021/isprs-archives-XLVI-4-W2-2021-17-2021.pdf
software solutions through the decade. The Jupyter is an example of a non-profit and open-source project to data science and scientific computing (Project Jupyter, 2021), enabling the embodiment of the FAIR principles, being a tool for open science (Randles et al., 2017). Similarly, the Google Colaboratory (or Colab) is a Jupyter cloud ...
[PDF File] black Documentation Matters: Human-Centered AI System to Assist Data …
https://arxiv.org/pdf/2102.12592.pdf
programming [28] and allow data scientists to effectively create, communicate, and collaborate on their analysis work. The data scientist community has widely adopted notebook systems (e.g., Jupyter Notebook [23] and Jupyter Lab [22]) as their main working envrioment [49]. ACM Trans. Comput.-Hum. Interact., Vol. 29, No. 2, Article 17.
[PDF File] AutoDS: Towards Human-Centered Automation of Data Science …
https://arxiv.org/pdf/2101.05273.pdf
tools have been built to support data science workers’ work [34, 44, 53]. For example, Jupyter Notebook [30] and its variations such as Google Colab [20] and Jupyter-Lab [31] are widely adopted by the data science community. These systems provide an easy code-and-test environment with a graphical user interface so that data
[PDF File] Teaching Courses with GitHub and Jupyter Notebooks
https://sites.duke.edu/ilearninglab/files/2020/12/Teaching-Courses-with-GitHub-and-Jupyter-Notebooks.pdf
for example by setting up continuous integration with a tool such as Travis CI. Among data science instructors, creating assignments in Jupyter Notebooks is a popular option. A tool called nbgrader can be used to automate grading of student notebooks. The following instructions will walk through setting up a course using GitHub Classroom for
[PDF File] Chapter 7 Dynamic Notebooks: Jupyter, Markdown, and Pandoc
https://www.sas.upenn.edu/~jesusfv//Chapter_HPC_7_Notebooks.pdf
a previous notebook or you can just drag-and-drop an existing one and a refresh button to update the display. If you select, for example, Julia, for your new notebook, you will see something similar to Figure7.3. Figure 7.3: A Julia notebook Let us inspect this new display. On the top left, close to the Jupyter logo, you will see
[PDF File] Coding Standards for Jupyter Notebook - Esri
https://www.esri.com/about/newsroom/wp-content/uploads/2018/11/coding-standards-jupyter-ntbk.pdf
Structure of Your Data Science Notebook By and large, use headings to structure your notebook as you would a paper for a scien-tific journal. Heading 1: Title: Cover the narrative or abstract and include a TOC. Heading 2: Get data—Import libraries and search for and get required datasets. Heading 2: Exploratory data analysis: Use maps and ...
[PDF File] Reproducible Data Science Using SAS® in a Jupyter Notebook
https://www.lexjansen.com/wuss/2016/67_Final_Paper_PDF.pdf
The Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text [2]. The notebook has support for over 40 programming languages, including SAS now. Notebooks are easily shared with others. Code within the notebook can produce rich output such as ...
[PDF File] Mining the Characteristics of Jupyter Notebooks in Data Science …
https://arxiv.org/pdf/2304.05325.pdf
in data science, such as data analysis, data mining, and machine learning. The computational notebook (e.g., Jupyter Notebook) is a well-known data science tool adopted in practice. Kaggle and GitHub are two platforms where data science communities are used for knowledge-sharing, skill-practicing, and collaboration.
[PDF File] Jupyter Notebook: Exploratory Data Analysis | 2020/21 CSC 5741
https://lightonphiri.org/wp-content/uploads/2021/05/code-unza21-csc5741-notebook-exploratory_data_analysis.pdf
Introduction. In this Jupyter Notebook, we walk through practical examples in order to illustrate how to perform Ex-ploratory Data Analysis (EDA). In all instances, you will notice two key operations: Basic descriptive statistical analysis. Extensive use of …
[PDF File] Telling Stories from Computational Notebooks: AI-Assisted …
https://arxiv.org/pdf/2203.11085.pdf
jupyter notebook (A) and configure the slides generation (B). Using the notebook overview (C1-3), they can navigate through the notebook. The generated slides are presented in (E1-3) with a slides outline overview (D). The slides are either generated by deep-learning algorithms or filled with example-based prompts, as indicated by (E3).
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