Khan Academy resources: "Estimating actual COVID 19 cases (novel corona virus infections) in an area based on deaths" on YouTube https://youtu.be/mCa0JXEwDEk
"Remote learning with Khan Academy during school closures" https://www.khanacademy.org/about/blog/post/611770255064350720/remote-learning-with-khan-academy-during-school @khanacademy Medicine YouTube Playlists: https://www.youtube.com/user/khanacademymedicine Khan Academy MCAT (med school) Test Prep https://www.khanacademy.org/test-prep/mcat Khan Academy NCLEX-RN (nursing license) Test Prep https://www.khanacademy.org/test-prep/nclex-rn https://www.khanacademy.org/math https://www.khanacademy.org/computing/computer-science https://www.khanacademy.org/college-admissions https://www.khanacademy.org/college-careers-more/career-content https://www.khanacademy.org/college-careers-more/personal-finance https://www.khanacademy.org/college-careers-more/entrepreneurship2 "Venture Capital and Capital Markets: all of the sources of funding (capital) for a business" #Growth models / word of mouth / conversion rate https://www.youtube.com/playlist?list=PLCADCB4565CFACEBF https://www.khanacademy.org/partner-content/learnstorm-growth-mindset-activities-us On Tue, Mar 24, 2020, 10:26 AM Wes Turner <wes.tur...@gmail.com> wrote: > Why does this turn negative at 40 timesteps? > > !conda install -y pandas matplotlib || pip install -y pandas matplotlib > > %matplotlib inline > > import pandas as pd > nrange = range(100) > df = pd.DataFrame(index=nrange) > df['cases'] = 3**df.index > df.tail() > > df.plot() > > df['casesfmt'] = df['cases'].apply( > lambda x: '{:,}'.format(x)) > > ... > > Jupyter keyboard shortcuts: > > <Esc>a -- insert cell above > <Esc>b -- insert cell below > <Ctrl><Shift><minus> -- split cell at cursor > <Esc>m -- set cell type to Markdown > <Esc>y -- set cell type to Code > > On Tue, Mar 24, 2020, 9:49 AM Wes Turner <wes.tur...@gmail.com> wrote: > >> https://en.wikipedia.org/wiki/Epidemiology >> >> https://en.wikipedia.org/wiki/Mathematical_modelling_of_infectious_disease >> >> https://en.wikipedia.org/wiki/Compartmental_models_in_epidemiology >> >> - Why we wear masks when we go outside >> >> https://en.wikipedia.org/wiki/Technological_singularity >> >> https://en.wikipedia.org/wiki/Technology_adoption_life_cycle#See_also >> >> On Tue, Mar 24, 2020, 9:36 AM Wes Turner <wes.tur...@gmail.com> wrote: >> >>> A thread to share [collections of] resources, curriculum ideas, etc. >>> about and for during the COVID-19 epidemic >>> >>> Lots of analyses, some data, some helpful contributions, lots of people >>> learning about exponential growth >>> >>> One video I saw mentioned that a person normal flu infects about 1.3-1.4 >>> other people, but COVID-19 is closer to 3; so what's wrong with this >>> analysis? >>> >>> 1**1.3 >>> 1**3 >>> >>> 1.3**n >>> 3**n >>> >>> '{:,}'.format(7e9) >>> 1*(3**x) = 7e9 >>> # solve for x with logarithms >>> >>> # Where is the limit with which controls? >>> >>> >>> ## Notebook idea >>> Growth curves: polynomials of degree 0 through 10 ('desic'), >>> exponential, logistic >>> >>> - Exponential growth and epidemics >>> https://youtu.be/Kas0tIxDvrg >>> >>> >>> ## Prompt re: positive, helpful, constructive tone; morale; and amateur >>> data science >>> >>> Here's a prompt for students and teachers alike: >>> Respond to this re: amateur data science, tone, attitude, >>> responsibility: >>> https://www.reddit.com/r/datascience/comments/fm17ja/to_all_data_scientists_out_there_crowdsourcing/ >>> >>> ```quote >>> >>> FWIU, there are many unquantified variables: >>> >>> - pre-existing conditions (impossible to factor in without having access >>> to electronic health records; such as those volunteered as part of the >>> Precision Medicine initiative) >>> - policy response >>> - population density >>> - number of hospital beds per capita >>> - number of ventilators per capita >>> - production rate of masks per capita >>> - medical equipment intellectual property right liabilities per territory >>> - treatment protocols >>> - sanitation protocols >>> >>> So, it **is** useful to learn to model exponential growth that's >>> actually logistic due to e.g. herd immunity, hours of sunlight (UVC), >>> effective containment policies. >>> >>> Analyses that compare various qualitative and quantitative aspects of >>> government and community responses and subsequent growth curves should be >>> commended, recognized, and encouraged to continue trying to better predict >>> potential costs. >>> >>> (You can tag epidemiology tools with e.g. "epidemiology" >>> https://github.com/topics/epidemiology ) >>> >>> Are these unqualified resources better spent on other efforts like >>> staying at home and learning data science; rather than asserting >>> superiority over and inadequacy of others? Inclusion criteria for >>> meta-analyses. >>> >>> - "Call to Action to the Tech Community on New Machine Readable COVID-19 >>> Dataset" (March 16, 2020) >>> >>> https://www.whitehouse.gov/briefings-statements/call-action-tech-community-new-machine-readable-covid-19-dataset/ >>> >>> > “We need to come together as companies, governments, and scientists >>> and work to bring our best technologies to bear across biomedicine, >>> epidemiology, AI, and other sciences. The COVID-19 literature resource and >>> challenge will stimulate efforts that can accelerate the path to solutions >>> on COVID-19.” >>> >>> - https://www.kaggle.com/tags/covid19 >>> - "COVID-19 Open Research Dataset Challenge (CORD-19): An AI >>> challenge with AI2, CZI, MSR, Georgetown, NIH & The White House" >>> >>> https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge >>> - >>> https://en.wikipedia.org/wiki/Precision_medicine#Precision_Medicine_Initiative >>> ``` >>> >>> >>> ## NIH FigShare instance >>> >>> >>> https://www.niaid.nih.gov/news-events/rapidly-share-discover-and-cite-covid19-research-results-generated-niaid-awards >>> >>> > NIH is assessing the role of a generalist repository for NIH-funded >>> research and has launched the NIH Figshare instance, a pilot project with >>> the generalist repository Figshare >>> >>> You can archive a tag of a [topic-labeled] GitHub repository [containing >>> notebooks] with FigShare. >>> >>> >>> ## Resource Collections >>> >>> https://github.com/topics/2019-ncov >>> >>> https://github.com/topics/covid-19 >>> >>> https://github.com/topics/epidemiology?l=python >>> >>> https://github.com/topics/epidemiology?l=jupyter+notebook >>> >>> Objectively-scored Kaggle competitions: >>> https://www.kaggle.com/tags/covid19 >>> >>> https://github.com/soroushchehresa/awesome-coronavirus >>> >>> >>> On Tue, Mar 24, 2020, 6:35 AM kirby urner <kirby.ur...@gmail.com> wrote: >>> >>>> Awesome! >>>> >>>> If you do any kind of Youtube on this specific SIR model I hope you'll >>>> link it from the cell and share it here. >>>> >>>> I see some Youtubes like that already (SIR models, including in >>>> Python), but everyone codes a little differently. >>>> >>>> I'd like to go back to high school and do it all again from a student >>>> perspective, now that the curriculum and tools are so vastly different. >>>> >>>> High school should be for any age, and one keeps going back every 10 >>>> years or so. Learn it the new way. >>>> >>>> Kirby >>>> _______________________________________________ >>>> Edu-sig mailing list -- edu-sig@python.org >>>> To unsubscribe send an email to edu-sig-le...@python.org >>>> https://mail.python.org/mailman3/lists/edu-sig.python.org/ >>>> >>>
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