Webapps with python - Revision history

Assela.pathirana.admin: /* Concrete crack detection with CNN */

2023-02-01T05:23:28Z

Concrete crack detection with CNN

← Older revision		Revision as of 05:23, 1 February 2023
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	If you don't have such images, just search the web and download a few. Then [https://cp.srv.pathirana.net/ go to the app] and upload them. (You can drag and drop them onto the app as well.		If you don't have such images, just search the web and download a few. Then [https://cp.srv.pathirana.net/ go to the app] and upload them. (You can drag and drop them onto the app as well.
	Or here is a sample (I just harvested from the web) to start with. Download the zip file, extract and drag and drop all the image files to the app! [[file:webapps_with_python_concrete_images_sample_12.zip\|~~Zip_File~~]]		Or here is a sample (I just harvested from the web) to start with. Download the zip file, extract and drag and drop all the image files to the app! ([[file:webapps_with_python_concrete_images_sample_12.zip\|zipfile]])

	===[https://web2py.pathirana.net/urbangreenblue/default/index A simple front-end to a urban drainage/flood model]===		===[https://web2py.pathirana.net/urbangreenblue/default/index A simple front-end to a urban drainage/flood model]===

Assela.pathirana.admin: /* Concrete crack detection with CNN */

2023-02-01T05:23:02Z

Concrete crack detection with CNN

← Older revision		Revision as of 05:23, 1 February 2023
Line 138:		Line 138:

	If you don't have such images, just search the web and download a few. Then [https://cp.srv.pathirana.net/ go to the app] and upload them. (You can drag and drop them onto the app as well.		If you don't have such images, just search the web and download a few. Then [https://cp.srv.pathirana.net/ go to the app] and upload them. (You can drag and drop them onto the app as well.
	Or here is a sample (I just harvested from the web) to start with. Download the zip file, extract and drag and drop all the image files to the app! [[file:webapps_with_python_concrete_images_sample_12.zip\|~~Zip File~~]]		Or here is a sample (I just harvested from the web) to start with. Download the zip file, extract and drag and drop all the image files to the app! [[file:webapps_with_python_concrete_images_sample_12.zip\|Zip_File]]

	===[https://web2py.pathirana.net/urbangreenblue/default/index A simple front-end to a urban drainage/flood model]===		===[https://web2py.pathirana.net/urbangreenblue/default/index A simple front-end to a urban drainage/flood model]===

Assela.pathirana.admin: /* Concrete crack detection with CNN */

2023-02-01T05:22:45Z

Concrete crack detection with CNN

← Older revision		Revision as of 05:22, 1 February 2023
Line 138:		Line 138:

	If you don't have such images, just search the web and download a few. Then [https://cp.srv.pathirana.net/ go to the app] and upload them. (You can drag and drop them onto the app as well.		If you don't have such images, just search the web and download a few. Then [https://cp.srv.pathirana.net/ go to the app] and upload them. (You can drag and drop them onto the app as well.
	Or here is a sample (I just harvested from the web) to start with. Download the zip file, extract and drag and drop all the image files to the app! [[file:webapps_with_python_concrete_images_sample_12.zip\|~~files~~]]		Or here is a sample (I just harvested from the web) to start with. Download the zip file, extract and drag and drop all the image files to the app! [[file:webapps_with_python_concrete_images_sample_12.zip\|Zip File]]

	===[https://web2py.pathirana.net/urbangreenblue/default/index A simple front-end to a urban drainage/flood model]===		===[https://web2py.pathirana.net/urbangreenblue/default/index A simple front-end to a urban drainage/flood model]===

Assela.pathirana.admin: /* Concrete crack detection with CNN */

2023-02-01T05:21:06Z

Concrete crack detection with CNN

← Older revision		Revision as of 05:21, 1 February 2023
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	If you don't have such images, just search the web and download a few. Then [https://cp.srv.pathirana.net/ go to the app] and upload them. (You can drag and drop them onto the app as well.		If you don't have such images, just search the web and download a few. Then [https://cp.srv.pathirana.net/ go to the app] and upload them. (You can drag and drop them onto the app as well.
			Or here is a sample (I just harvested from the web) to start with. Download the zip file, extract and drag and drop all the image files to the app! [[file:webapps_with_python_concrete_images_sample_12.zip\|files]]

	===[https://web2py.pathirana.net/urbangreenblue/default/index A simple front-end to a urban drainage/flood model]===		===[https://web2py.pathirana.net/urbangreenblue/default/index A simple front-end to a urban drainage/flood model]===

Root: /* Groundwater recharge calculator] */

2021-04-29T11:25:23Z

Groundwater recharge calculator]

← Older revision		Revision as of 11:25, 29 April 2021
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	[https://rwh1.srv.pathirana.net/ LINK]		[https://rwh1.srv.pathirana.net/ LINK]

	===[https://infil1.srv.pathirana.net/ Groundwater recharge calculator]]===		===[https://infil1.srv.pathirana.net/ Groundwater recharge calculator]===

	The tool allows the user to choose this by providing the hourly rainfall rate and number of hours over which that intensity will continue. After providing the size of the infiltration pit, whether it is filled with gravel or just empty and the surrounding soil type, the user can calculate the performance of the system. The results are provided as a graphic as well as graph of water level in the structure and any overflow.		The tool allows the user to choose this by providing the hourly rainfall rate and number of hours over which that intensity will continue. After providing the size of the infiltration pit, whether it is filled with gravel or just empty and the surrounding soil type, the user can calculate the performance of the system. The results are provided as a graphic as well as graph of water level in the structure and any overflow.

Root: /* Background */

2021-04-29T11:24:47Z

Background

← Older revision		Revision as of 11:24, 29 April 2021
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	* Web scraping e.g. [https://pypi.org/project/beautifulsoup4/ BeautifulSoup]		* Web scraping e.g. [https://pypi.org/project/beautifulsoup4/ BeautifulSoup]
	* Parsing and identifying entities e.g. [https://www.nltk.org/ NLTK toolkit]		* Parsing and identifying entities e.g. [https://www.nltk.org/ NLTK toolkit]
	* Flag geographical locations mentioned in the text and geolocating them (Geoparsing)		* Flag geographical locations mentioned in the text and geolocating them (Geoparsing). e.g. [https://github.com/openeventdata/mordecai Mordecai], [https://pypi.org/project/geograpy3/ geography3] and
	e.g. [https://github.com/openeventdata/mordecai Mordecai], [https://pypi.org/project/geograpy3/ geography3] and
	(simple) [https://pypi.org/project/geotext/ geotext].		(simple) [https://pypi.org/project/geotext/ geotext].

Root: /* Background */

2021-04-29T11:24:30Z

Background

← Older revision		Revision as of 11:24, 29 April 2021
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	====Background====		====Background====
	Python provides all the tools needed to do Natural Language Processing, including		Python provides all the tools needed to do Natural Language Processing, including
	* Web scraping e.g. [~~BeautifulSoup](~~https://pypi.org/project/beautifulsoup4/)		* Web scraping e.g. [https://pypi.org/project/beautifulsoup4/ BeautifulSoup]
	* Parsing and identifying entities e.g. [~~NLTK toolkit](~~https://www.nltk.org/)		* Parsing and identifying entities e.g. [https://www.nltk.org/ NLTK toolkit]
	* Flag geographical locations mentioned in the text and geolocating them (Geoparsing)		* Flag geographical locations mentioned in the text and geolocating them (Geoparsing)
	e.g. [~~Mordecai](~~https://github.com/openeventdata/mordecai), [~~geography3](~~https://pypi.org/project/geograpy3/) and		e.g. [https://github.com/openeventdata/mordecai Mordecai], [https://pypi.org/project/geograpy3/ geography3] and
	(simple)[~~geotext] (~~https://pypi.org/project/geotext/).		(simple) [https://pypi.org/project/geotext/ geotext].

	====What it does====		====What it does====

Root: /* What is this and how it works */

2021-04-29T11:23:03Z

What is this and how it works

← Older revision		Revision as of 11:23, 29 April 2021
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	==== What is this and how it works====		==== What is this and how it works====
	Using Natural Language Processing to 'Geoparsing' google scholar search results. Select a keyword (or more) and see where the publications refer to. Click on a bubble of a country to see its publications listed below the map.		Using Natural Language Processing to 'Geoparsing' google scholar search results. Select a keyword (or more) and see where the publications refer to. Click on a bubble of a country to see its publications listed below the map.
	## Background		====Background====
	Python provides all the tools needed to do Natural Language Processing, including		Python provides all the tools needed to do Natural Language Processing, including
	* Web scraping e.g. [BeautifulSoup](https://pypi.org/project/beautifulsoup4/)		* Web scraping e.g. [BeautifulSoup](https://pypi.org/project/beautifulsoup4/)
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	* Flag geographical locations mentioned in the text and geolocating them (Geoparsing)		* Flag geographical locations mentioned in the text and geolocating them (Geoparsing)
	e.g. [Mordecai](https://github.com/openeventdata/mordecai), [geography3](https://pypi.org/project/geograpy3/) and		e.g. [Mordecai](https://github.com/openeventdata/mordecai), [geography3](https://pypi.org/project/geograpy3/) and
	(simple)[geotext] (https://pypi.org/project/geotext/).		(simple)[geotext] (https://pypi.org/project/geotext/).

	====What it does====		====What it does====

Root: /* Geohacking publications with Python Natural Language Processing and Friends */

2021-04-29T11:22:24Z

Geohacking publications with Python Natural Language Processing and Friends

← Older revision		Revision as of 11:22, 29 April 2021
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	===[https://gs.srv.pathirana.net/ Geohacking publications with Python Natural Language Processing and Friends]===		===[https://gs.srv.pathirana.net/ Geohacking publications with Python Natural Language Processing and Friends]===
	<div style="overflow: hidden">[[file:nlpgeohacking_publications.png\|thumb\|center\|~~350px~~\|Google Scholar results on the map [https://gs.srv.pathirana.net/ LINK]]]</div>		<div style="overflow: hidden">[[file:nlpgeohacking_publications.png\|thumb\|center\|700px\|Google Scholar results on the map [https://gs.srv.pathirana.net/ LINK]]]</div>
	==== What is this and how it works====		==== What is this and how it works====
	Using Natural Language Processing to 'Geoparsing' google scholar search results. Select a keyword (or more) and see where the publications refer to. Click on a bubble of a country to see its publications listed below the map.		Using Natural Language Processing to 'Geoparsing' google scholar search results. Select a keyword (or more) and see where the publications refer to. Click on a bubble of a country to see its publications listed below the map.

Root: /* Demonstrations */

2021-04-29T11:19:25Z

Demonstrations

← Older revision		Revision as of 11:19, 29 April 2021
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	Here are some prototype web applications that were created for the water management, agriculture and asset management sectors. They are written in python using libraries like [https://plotly.com/dash/ Plotly dash] and [http://www.web2py.com/ web2py] to do the frontend. I use [https://auth0.com/blog/hosting-applications-using-digitalocean-and-dokku/ docker containers] based on [http://dokku.viewdocs.io/dokku/ dokku] -- [https://en.wikipedia.org/wiki/Platform_as_a_service a PaaS (Platform as a Service)] --to host these apps.		Here are some prototype web applications that were created for the water management, agriculture and asset management sectors. They are written in python using libraries like [https://plotly.com/dash/ Plotly dash] and [http://www.web2py.com/ web2py] to do the frontend. I use [https://auth0.com/blog/hosting-applications-using-digitalocean-and-dokku/ docker containers] based on [http://dokku.viewdocs.io/dokku/ dokku] -- [https://en.wikipedia.org/wiki/Platform_as_a_service a PaaS (Platform as a Service)] --to host these apps.

	===[https://gs.srv.pathirana.net/ Geohacking publications with Python Natural Language Processing and Friends===		===[https://gs.srv.pathirana.net/ Geohacking publications with Python Natural Language Processing and Friends]===
	<div style="overflow: hidden">[[file:nlpgeohacking_publications.png\|thumb\|center\|350px\|Google Scholar results on the map [https://gs.srv.pathirana.net/ LINK]]]</div>		<div style="overflow: hidden">[[file:nlpgeohacking_publications.png\|thumb\|center\|350px\|Google Scholar results on the map [https://gs.srv.pathirana.net/ LINK]]]</div>
	==== What is this and how it works====		==== What is this and how it works====