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- #HOW TO RUN JUPYTER NOTEBOOK ON WINDOWS FOR FILE OF 2 GB HOW TO#
- #HOW TO RUN JUPYTER NOTEBOOK ON WINDOWS FOR FILE OF 2 GB PDF#
- #HOW TO RUN JUPYTER NOTEBOOK ON WINDOWS FOR FILE OF 2 GB CODE#
- #HOW TO RUN JUPYTER NOTEBOOK ON WINDOWS FOR FILE OF 2 GB DOWNLOAD#
Using Jupyter Notebooks to scale up computation in environments like high-performance computing clusters.
#HOW TO RUN JUPYTER NOTEBOOK ON WINDOWS FOR FILE OF 2 GB CODE#
Converting existing Python code to Jupyter Notebooks.
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Using Jupyter Notebooks for programming languages other than Python.The lesson will also touch on more advanced topics related to Jupyter notebooks, such as: When notebooks can be useful in research and pedagogical contextsįor this lesson, we’ll work through a scenario of using Jupyter notebooks to analyze data, and then adapting that same notebook and data for classroom use.
#HOW TO RUN JUPYTER NOTEBOOK ON WINDOWS FOR FILE OF 2 GB HOW TO#
#HOW TO RUN JUPYTER NOTEBOOK ON WINDOWS FOR FILE OF 2 GB PDF#
Do you want to organize your project workflow? Do you want to work through analyzing your data, keeping track of the things you try along the way? Do you want readers of your scholarship to be able to follow the theoretical and technical sides of your argument without switching between a PDF and a folder of scripts? Do you want to teach programming workshops that are more accessible to attendees with a range of technical backgrounds? Do you want to use or adapt notebooks that other people have written? Keep your goal in mind as you work through this lesson: depending on how you imagine using Jupyter notebooks, you may be able to skip sections that are mostly applicable in another context. Before you start this lesson, think about what you want to get from using Jupyter Notebooks. Tools like Jupyter notebooks are less meaningful to learn or teach about in a vacuum, because Jupyter notebooks themselves don’t do anything to directly further research or pedagogy. The purpose of Jupyter notebooks is to provide a more accessible interface for code used in digitally-supported research or pedagogy. The notebook format is ideally suited for teaching, especially when students have different levels of technical proficiency and comfort with writing and editing code. Multiple Programming Historian tutorials such as Text Mining in Python through the HTRC Feature Reader, and Extracting Illustrated Pages from Digital Libraries with Python, as well as other pedagogical materials for workshops, make reference to putting code in a Jupyter notebook or using Jupyter notebooks to guide learners while allowing them to freely remix and edit code. Jupyter Notebooks have also gained traction within digital humanities as a pedagogical tool. Within digital humanities literature, one can find references to Jupyter notebooks (split off from iPython, or interactive Python, notebooks in 2014) dating to 2015.
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Jupyter notebooks have seen enthusiastic adoption in the data science community, to an extent where they are increasingly replacing Microsoft Word as the default authoring environment for research. However, if you have the necessary rights and permissions to republish the text of your scholarship in another format, Jupyter notebooks provide an environment where code and prose can be juxtaposed and presented with equal weight and value.
#HOW TO RUN JUPYTER NOTEBOOK ON WINDOWS FOR FILE OF 2 GB DOWNLOAD#
Currently, code is typically published separately on GitHub or in another repository, where readers have to look up a footnote in the text to find out what scripts are being referenced, find the URL of the repository, go to the URL, look for the scripts, download them and associated data files, then run them. What if you could publish your scholarship in a format that gave equal weight to the prose and the code? The reality of current academic publication guidelines means that the forcible separation of your code and written argumentation may be a necessity, and their reunification may be impossible without navigating numerous obstacles. While publishers are increasingly open to the inclusion of links to supplementary code and other materials, such an arrangement inherently relegates them to secondary status relative to the written text.
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When computation is an intrinsic part of your scholarship, how do you publish a scholarly argument in a way that makes the code as accessible and readable as the prose that accompanies it? In the humanities, the publication of scholarship primarily takes the form of written prose, in article or monograph form.