[Video] How to Extract Data Tables from a PDF

Alternative Video: BitChute NewTube Odysee

This is a short video on how to extract data tables from PDF documents
using the camelot Python package.

Camelot Project URL: https://pypi.org/project/camelot-py/

Simple example (-p page_number -f table_data_format lattice | stream command) :

  OS> camelot -p 43 -o output_file.csv -f csv lattice report_with_tables.pdf

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About Me

John F. McGowan, Ph.D. solves problems using mathematics and mathematical software, including developing gesture recognition for touch devices, video compression and speech recognition technologies. He has extensive experience developing software in C, C++, MATLAB, Python, Visual Basic and many other programming languages. He has been a Visiting Scholar at HP Labs developing computer vision algorithms and software for mobile devices. He has worked as a contractor at NASA Ames Research Center involved in the research and development of image and video processing algorithms and technology. He has published articles on the origin and evolution of life, the exploration of Mars (anticipating the discovery of methane on Mars), and cheap access to space. He has a Ph.D. in physics from the University of Illinois at Urbana-Champaign and a B.S. in physics from the California Institute of Technology (Caltech).

[Video] How to Select, Copy, Cut and Paste Data Tables in Vim

Alternative Video: BitChute NewTube Odysee Archive

Short video on how to select, copy, cut and paste data tables (columns, rectangular regions) in the popular Vim programming editor.

Use:

CTRL-V to activate the visual block rectangle/column selection mode to select a rectangular region such as a data table.

Copy with y for yank

Position cursor at destination. Use Escape key to enter command mode, press p key to paste.

Cut with d for delete

Position cursor at destination. Use Escape key to enter command mode, press p key to paste.

Vim: https://www.vim.org/

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About Me

John F. McGowan, Ph.D. solves problems using mathematics and mathematical software, including developing gesture recognition for touch devices, video compression and speech recognition technologies. He has extensive experience developing software in C, C++, MATLAB, Python, Visual Basic and many other programming languages. He has been a Visiting Scholar at HP Labs developing computer vision algorithms and software for mobile devices. He has worked as a contractor at NASA Ames Research Center involved in the research and development of image and video processing algorithms and technology. He has published articles on the origin and evolution of life, the exploration of Mars (anticipating the discovery of methane on Mars), and cheap access to space. He has a Ph.D. in physics from the University of Illinois at Urbana-Champaign and a B.S. in physics from the California Institute of Technology (Caltech).

[Video] How to Select, Copy, Cut and Paste Data Tables in Notepad++

Alternative Video: Odysee NewTube

Short video on how to select, copy, cut and paste data tables (columns, rectangular regions) in the popular MS Windows Notepad++ programming editor.

Use:

ALT-(mouse cursor drag)

or

SHIFT-ALT-ARROW KEYS (no mouse)

to select a rectangular region such as a data table. Copy with CTRL-C, CUT with CTRL-X, and PASTE with CTRL-V

This is a test. DATE             VALUE       (random text)
                1/1/2021         103
                1/2/2021         100
                1/3/2021          99
                1/4/2021         101
all done.

See:
https://stackoverflow.com/questions/1802616/how-to-select-columns-in-editors-atom-notepad-kate-vim-sublime-textpad-et#1802634

Notepad++ Website: https://notepad-plus-plus.org/

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About Me

John F. McGowan, Ph.D. solves problems using mathematics and mathematical software, including developing gesture recognition for touch devices, video compression and speech recognition technologies. He has extensive experience developing software in C, C++, MATLAB, Python, Visual Basic and many other programming languages. He has been a Visiting Scholar at HP Labs developing computer vision algorithms and software for mobile devices. He has worked as a contractor at NASA Ames Research Center involved in the research and development of image and video processing algorithms and technology. He has published articles on the origin and evolution of life, the exploration of Mars (anticipating the discovery of methane on Mars), and cheap access to space. He has a Ph.D. in physics from the University of Illinois at Urbana-Champaign and a B.S. in physics from the California Institute of Technology (Caltech).

[Video] How to Select, Copy, Cut and Paste Data Tables in Emacs

Alternative Video: BitChute Odysee

HOW TO SELECT, COPY, CUT, AND PASTE DATA TABLES IN EMACS

The Emacs text and code editor has a built in rectangle mode for selecting, copying, pasting, and maniuplating rectangular regions in text since Emacs 24.

https://www.gnu.org/software/emacs/manual/html_node/emacs/Rectangles.html

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#

(C) 2021 by John F. McGowan, Ph.D.

About Me

John F. McGowan, Ph.D. solves problems using mathematics and mathematical software, including developing gesture recognition for touch devices, video compression and speech recognition technologies. He has extensive experience developing software in C, C++, MATLAB, Python, Visual Basic and many other programming languages. He has been a Visiting Scholar at HP Labs developing computer vision algorithms and software for mobile devices. He has worked as a contractor at NASA Ames Research Center involved in the research and development of image and video processing algorithms and technology. He has published articles on the origin and evolution of life, the exploration of Mars (anticipating the discovery of methane on Mars), and cheap access to space. He has a Ph.D. in physics from the University of Illinois at Urbana-Champaign and a B.S. in physics from the California Institute of Technology (Caltech).

US Patent 10,983,805 Issued

US Patent Image

I am an inventor on a newly issued United States Patent for some work done at Nod Inc.

Contextual keyboard located on a remote server for implementation on any content delivery and interaction application

US Patent: 10,983,805

Issued: April 20, 2021

Inventors: Elangovan; Anusankar (San Francisco, CA), McGowan, III; John F. (Mountain View, CA), Iyer; Rahul N. (San Francisco, CA), Kesinger; Jake (Bath, ME)

Described are apparatus and methods for providing a contextual keyboard service located on a remote server for implementation on any website or device capable of supporting an on-screen keyboard.

Link to Patent at US Patent Office: http://patft1.uspto.gov/netacgi/nph-Parser?patentnumber=10983805

(C) 2021 by John F. McGowan, Ph.D.

About Me

John F. McGowan, Ph.D. solves problems using mathematics and mathematical software, including developing gesture recognition for touch devices, video compression and speech recognition technologies. He has extensive experience developing software in C, C++, MATLAB, Python, Visual Basic and many other programming languages. He has been a Visiting Scholar at HP Labs developing computer vision algorithms and software for mobile devices. He has worked as a contractor at NASA Ames Research Center involved in the research and development of image and video processing algorithms and technology. He has published articles on the origin and evolution of life, the exploration of Mars (anticipating the discovery of methane on Mars), and cheap access to space. He has a Ph.D. in physics from the University of Illinois at Urbana-Champaign and a B.S. in physics from the California Institute of Technology (Caltech).

[Video] The High Failure Rate of Research and Development

Alternative Video Links: BitChute NewTube Brighteon Minds Locals Odysee Archive

A detailed discussion of the high failure rate of research and development with some comments on Operation Warp Speed, the Manhattan Project, the War on Cancer, and the invention of powered flight.

Reference(s):

https://www.statista.com/statistics/184566/deaths-by-cancer-in-the-us-since-1950/

An article showing the increase in cancer death rates from 1950 to the mid 1990’s, overlapping the War on Cancer, followed by more recent decline. Cancer remains a leading cause of death in the US.

The Manhattan Project Considered as a Fluke: https://mathblog.com/the-manhattan-project-considered-as-a-fluke/

The Mathematics of the Manhattan Project:
https://mathblog.com/the-mathematics-of-the-manhattan-project/

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About Me

John F. McGowan, Ph.D. solves problems using mathematics and mathematical software, including developing gesture recognition for touch devices, video compression and speech recognition technologies. He has extensive experience developing software in C, C++, MATLAB, Python, Visual Basic and many other programming languages. He has been a Visiting Scholar at HP Labs developing computer vision algorithms and software for mobile devices. He has worked as a contractor at NASA Ames Research Center involved in the research and development of image and video processing algorithms and technology. He has published articles on the origin and evolution of life, the exploration of Mars (anticipating the discovery of methane on Mars), and cheap access to space. He has a Ph.D. in physics from the University of Illinois at Urbana-Champaign and a B.S. in physics from the California Institute of Technology (Caltech).

The Uncertain COVID Baseline

US CDC’s Contradictory Pneumonia and Influenza Weekly Death Numbers 2014-2019

The United States Centers for Disease Control (CDC) has at least three different, grossly contradictory historical pneumonia and influenza death numbers. The CDC FluView pneumonia and influenza pre-COVID death number is OVER THREE TIMES the leading causes of death number. Pneumonia and influenza are often conflated in the CDC’s documentation and in the CDC’s influenza death model.

These death numbers are frequently used as the baseline for comparison of the COVID-19 death numbers and assessing the severity of the pandemic relative to previous years and pandemics such as the 1957, 1968, and 2009 influenza pandemics.

The Three Different Sets of Pneumonia and Influenza Death Numbers

Leading Causes of Death Pneumonia and Influenza (P&I) Deaths (About 55,000 per year)

FluView Pneumonia and Influenza (P&I) Deaths (About 167,000 pre-COVID, Over THREE TIMES Leading Causes of Death, About 7,000 Influenza Virus Deaths Per Year)

CDC Model Influenza Virus Deaths (About 55,000 per year, at least THREE TIMES FluView Influenza Deaths)

This is the program and data files used to generate the plot above comparing the CDC’s pneumonia and influenza death numbers from 2014 through 2019. Download and use the 7-Zip or other file archiver for MS Windows or the Unix command tar -xvf cdc_numbers.tar to unpack the program and data files.

This Python 3 program generates a plot comparing the different numbers on a log scale for easy comparison.

The program also plots the weekly deaths for “chronic lower respiratory disease,” mostly chronic bronchitis and emphysema — also referred to as “chronic obstructive pulmonary disease” in the medical literature. It is likely that the THREE TIMES LARGER FluView pneumonia and influenza death numbers are produced by borrowing deaths from chronic lower respiratory disease (mostly chronic bronchitis and emphysema) and adding them to the “pneumonia and influenza” deaths reported in the leading causes of death report.

The article “Are COVID Death Numbers Comparing Apples and Oranges?” at
http://wordpress.jmcgowan.com/wp/are-covid-death-numbers-comparing-apples-and-oranges/


discusses these issues in much more detail and provides references and links.

(C) 2021 by John F. McGowan, Ph.D.

About Me

John F. McGowan, Ph.D. solves problems using mathematics and mathematical software, including developing gesture recognition for touch devices, video compression and speech recognition technologies. He has extensive experience developing software in C, C++, MATLAB, Python, Visual Basic and many other programming languages. He has been a Visiting Scholar at HP Labs developing computer vision algorithms and software for mobile devices. He has worked as a contractor at NASA Ames Research Center involved in the research and development of image and video processing algorithms and technology. He has published articles on the origin and evolution of life, the exploration of Mars (anticipating the discovery of methane on Mars), and cheap access to space. He has a Ph.D. in physics from the University of Illinois at Urbana-Champaign and a B.S. in physics from the California Institute of Technology (Caltech).

[Video] The CDC’s Grossly Contradictory Flu Death Numbers

Graph Showing Contradictory CDC Pneumonia and Influenza Death Numbers
The CDC’s Grossly Contradictory Flu Death Numbers

Alternative Video Links: BitChute NewTube LBRY Archive

The United States Centers for Disease Control (CDC) has at least three different, grossly contradictory historical pneumonia and influenza death numbers. Pneumonia and influenza are often conflated in the CDC’s documentation and influenza death model. These death numbers are frequently used as the baseline for comparison of COVID-19 death numbers and assessing the severity of the pandemic relative to previous years and influenza pandemics.

Leading Causes of Death Pneumonia and Influenza (P&I) Deaths (About 55,000 per year)

FluView Pneumonia and Influenza (P&I) Deaths (About 188,000 pre-COVID, Over THREE TIMES Leading Causes of Death, About 5-15,000 Influenza Deaths Per Year)

CDC Model Influenza Only Deaths (About 55,000 per year, at least THREE TIMES FluView Influenza Deaths)

This video discusses these different contradictory numbers and their implications for the COVID-19 pandemic.

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(C) 2021 by John F. McGowan, Ph.D.

About Me

John F. McGowan, Ph.D. solves problems using mathematics and mathematical software, including developing gesture recognition for touch devices, video compression and speech recognition technologies. He has extensive experience developing software in C, C++, MATLAB, Python, Visual Basic and many other programming languages. He has been a Visiting Scholar at HP Labs developing computer vision algorithms and software for mobile devices. He has worked as a contractor at NASA Ames Research Center involved in the research and development of image and video processing algorithms and technology. He has published articles on the origin and evolution of life, the exploration of Mars (anticipating the discovery of methane on Mars), and cheap access to space. He has a Ph.D. in physics from the University of Illinois at Urbana-Champaign and a B.S. in physics from the California Institute of Technology (Caltech).

[Video] Science is Funded by Government

Science is Funded by Government

A short video that most modern science is funded by the government. A segment from the longer “Inconvenient Truths about Science” video.

Alternative Video Links: Archive BitChute Brighteon NewTube

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(C) 2021 by John F. McGowan, Ph.D.

About Me

John F. McGowan, Ph.D. solves problems using mathematics and mathematical software, including developing gesture recognition for touch devices, video compression and speech recognition technologies. He has extensive experience developing software in C, C++, MATLAB, Python, Visual Basic and many other programming languages. He has been a Visiting Scholar at HP Labs developing computer vision algorithms and software for mobile devices. He has worked as a contractor at NASA Ames Research Center involved in the research and development of image and video processing algorithms and technology. He has published articles on the origin and evolution of life, the exploration of Mars (anticipating the discovery of methane on Mars), and cheap access to space. He has a Ph.D. in physics from the University of Illinois at Urbana-Champaign and a B.S. in physics from the California Institute of Technology (Caltech).

[Video/Article] Inconvenient Truths About Science

Inconvenient Truths about Science

Inconvenient Truths about Science

Why Listen to this video? There are many heavily promoted dangerous misconceptions about modern “science,” many of which I once shared. These misconceptions generally lead to an excessive and dangerous confidence in scientists and claims labeled as science. These can even cost you your life as happened to many arthritis sufferers who trusted scientific claims about the blockbuster painkiller Vioxx. Many other examples exist, some discussed briefly in the following video. I will discuss over a dozen common misconceptions. The discussion reflects my personal experience and research.

Why me? I have a B.S. in Physics from Caltech, a Ph.D. in experimental particle physics from the University of Illinois at Urbana-Champaign, worked for a successful video compression startup in the Silicon Valley, NASA, HP Labs, and Apple.

TOPICS COVERED

  1. Scientists are people too. Rarely the altruistic truth-seekers depicted in fiction and popular science writing. Egos, glory, greed. Comparable to less revered and even actively distrusted professions such as attorneys. Many examples of error and gross misconduct up to the present day: “Tuskegee Study of Untreated Syphilis the Negro Male” by US Public Health Service and US Centers for Disease Control (1932-1972), Eugenics, Vioxx scandal.

In her 2009 article “Drug Companies & Doctors: A Story of Corruption”, published in The New York Review of Books magazine, (former NEJM Editor-in-Chief Marcia) Angell wrote :[7]

…Similar conflicts of interest and biases exist in virtually every field of medicine, particularly those that rely heavily on drugs or devices. It is simply no longer possible to believe much of the clinical research that is published, or to rely on the judgment of trusted physicians or authoritative medical guidelines. I take no pleasure in this conclusion, which I reached slowly and reluctantly over my two decades as an editor of The New England Journal of Medicine.

Moral character and intelligence (IQ, general intelligence) are uncorrelated.

  1. Since World War II most modern science is funded by the government, by giant bureaucratic funding agencies such as the National Institutes of Health, the National Science Foundation, the Department of Energy, and the DoD in the USA. There was a large transformation of science during and after World War II from small scale, often more independent research to huge government programs.

(Video segment from Eisenhower’s Farewell Address on the danger of the scientific technological elite)

  1. The success of the wartime Manhattan Project which developed the first nuclear reactors and atomic bombs appears to have been a fluke. Most New Manhattan Projects have largely or completely failed including several in physics involving the same people or their students.

https://mathblog.com/the-manhattan-project-considered-as-a-fluke/https://mathblog.com/the-mathematics-of-the-manhattan-project/

  1. There is an illusion of independence in scientists because so many are directly employed by universities such as Harvard, Stanford, Caltech and others, but those universities depend mostly on government funding. High profile academic dissidents such as linguist Noam Chomsky usually stay well away from truly taboo topics often labeled as “conspiracy theories,” e.g. the Kennedy Assassination, “pseudoscience,” or both.
  2. The federally funded academic research system is a pyramid scheme with many, many more Ph.D.’s produced than long term faculty or staff positions, typically 5-20 times more Ph.D.s. Remarkably, leading scientists and scientific institutions continue to claim terrible shortages of scientists despite this. A never ending supply of young, cheap, often starry-eyed workers — graduate students and post-docs.

https://wordpress.jmcgowan.com/wp/category/stem-shortage-claims/

  1. A well-paid but precarious elite of tenured faculty, principal investigators, senior scientists at government labs who can easily be replaced by a tiny fraction of the younger Ph.D’s if they rock the boat.
  2. Brilliant, well-educated, hard working people sometimes do dumb things, both individually and collectively.
  3. Knowledge of cognitive biases such as “confirmation bias” or “cognitive dissonance” does not immunize people from the biases.
  4. Brilliant, well-educated, hard working people are often better at rationalizing away obviously contradictory evidence or logic and convincing others to accept their rationalizations. Paradoxically knowledge of cognitive biases provides an arsenal of excuses to rationalize away the evidence or logic.
  5. The heavily promoted popular concept of “falsifiability,” usually attributed to Karl Popper, does not work in practice. Scientists can usually (not always) find technically plausible, sophisticated “explanations” for supposedly falsifying evidence. A double standard that sets an impossible obstacle for deprecated views.
  1. The scientific uncertainty excuse. Scientists often make confident statements claiming or implying no or negligible uncertainty. When the statement proves wrong, they will ridicule critics by claiming science is tentative, an ever evolving process, there is an 80-90% failure rate in science, there is uncertainty they never mentioned and by implication everyone should know that. Once the criticism is beaten back often by this ridicule they revert to more confident statements, sometimes grossly contradicting the previous statement.
  2. Modern scientists make heavy use of complex, error-prone, usually computerized mathematical models and advanced statistical methods that are difficult to reproduce or criticize. These methods are prone to finding small signals that rarely exceed the normal variation of the data when small mistakes are made, whether innocently, due to subconscious bias, or intentionally.
  3. The error rate of top science students in school, college, university, academic settings is very low, possibly zero percent for some top students (800 on SAT, a few top students at Caltech, MIT etc.). BUT this does not translate to real world R&D where failure rates are clearly much higher. Scientists selectively cite a failure rate of 80-90 percent when confronted about obvious falures (cost and schedule overruns, failed cancer breakthroughs etc.)
  4. Prodigies/highly successful scientists (tenured faculty etc.) frequently have unusual family backgrounds such as extremely wealthy, politically connected families or an often prominent academic family. Parents know calculus which is a significant hurdle for most “nerds.” Not like Good Will Hunting or The Big Bang Theory where prodigies are portrayed as working class, poor etc. Purely genetic fluke implied.
  5. “Science” (in scare quotes) is promoted by scientists as a religion or substitute for religion, a comprehensive “rational” worldview demanding fealty and paradoxically irrational “rational” obeisance. Extreme examples include the use of the term “God Particle” for the Higgs particle in particle physics, promoted by the late Nobel Laureate Leon Lederman and others. Carl Sagan’s inaccurate account of the destruction of the Library of Alexandria and murder of Hypatia in Cosmos. Often closely tied to militant atheism and materialism despite the strong use of religious and mystical terms and ideas at the same time. Organized skeptics such as CSI/CSICOP, Michael Shermer and others. Dissenting or differing points of view are labeled as anti-science, conspiracy theories, pseudoscience, denialism and other labels.

Carl Sagan, Neil deGrasse Tyson and Hypatia (Debunked):

Conclusion: I’ve discussed over a dozen major heavily promoted, dangerous misconceptions about “science.” If you find some of these hard to accept, perform your own research. I have numerous articles on the false scientist shortage claims, also known as STEM shortage claims, on my web site. I also have articles on the Manhattan Project as a fluke and the Myth of Falsifiability. I will likely post more supporting information on the other misconceptions in the future. Most importantly, true science requires thinking carefully and critically for yourself and not treating something labeled “science” as a religion or substitute for religion, either consciously or subconsciously.

References:

https://mathblog.com/the-manhattan-project-considered-as-a-fluke/https://mathblog.com/the-mathematics-of-the-manhattan-project/

https://wordpress.jmcgowan.com/wp/category/stem-shortage-claims/

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LBRY (Video): https://lbry.tv/@MathematicalSoftware:5

(C) 2021 by John F. McGowan, Ph.D.

About Me

John F. McGowan, Ph.D. solves problems using mathematics and mathematical software, including developing gesture recognition for touch devices, video compression and speech recognition technologies. He has extensive experience developing software in C, C++, MATLAB, Python, Visual Basic and many other programming languages. He has been a Visiting Scholar at HP Labs developing computer vision algorithms and software for mobile devices. He has worked as a contractor at NASA Ames Research Center involved in the research and development of image and video processing algorithms and technology. He has published articles on the origin and evolution of life, the exploration of Mars (anticipating the discovery of methane on Mars), and cheap access to space. He has a Ph.D. in physics from the University of Illinois at Urbana-Champaign and a B.S. in physics from the California Institute of Technology (Caltech).