Folium is a Python library for interactive maps that allows users to easily create and publish interactive web maps. Some key features of Folium include adding markers, polylines, polygons and other shapes to maps. It also supports adding popups and labels to features, customizing basemaps and tiles, integrating geospatial data formats, and using plugins to add additional functionality like search, drawing and heatmap tools. Folium works with common Python data structures and geospatial file formats and generates HTML and JavaScript to display interactive maps in the Jupyter notebook or standalone web pages.
What is PL/SQL
Procedural Language – SQL
An extension to SQL with design features of programming languages (procedural and object oriented)
PL/SQL and Java are both supported as internal host languages within Oracle products.
What is PL/SQL
Procedural Language – SQL
An extension to SQL with design features of programming languages (procedural and object oriented)
PL/SQL and Java are both supported as internal host languages within Oracle products.
This presentation is on SQL constraints. This presentation was used by me in my YouTube vlog on SQL constraints. Vlog link: https://youtu.be/E94YFmATqb4
PL/SQL is a combination of SQL along with the procedural features of programming languages.
It provides specific syntax for this purpose and supports exactly the same datatypes as SQL.
Wi fi hacking using fluxion in kali linuxTejasKore3
Fluxion is the future — a blend of technical and social engineering automation that trick a user into handing over the Wi-Fi password in a matter of keystrokes. Specifically, it's a social engineering framework using an evil twin access point (AP), integrated jamming, and handshake capture functions to ignore hardware and focus on the "wetware."
Presentation On Microsoft office, How to use Microsoft Office,Microsoft word, Microsoft Exel ,Microsoft Powerpoint, Difference Between Office 2007 and 2010
This presentation is on SQL constraints. This presentation was used by me in my YouTube vlog on SQL constraints. Vlog link: https://youtu.be/E94YFmATqb4
PL/SQL is a combination of SQL along with the procedural features of programming languages.
It provides specific syntax for this purpose and supports exactly the same datatypes as SQL.
Wi fi hacking using fluxion in kali linuxTejasKore3
Fluxion is the future — a blend of technical and social engineering automation that trick a user into handing over the Wi-Fi password in a matter of keystrokes. Specifically, it's a social engineering framework using an evil twin access point (AP), integrated jamming, and handshake capture functions to ignore hardware and focus on the "wetware."
Presentation On Microsoft office, How to use Microsoft Office,Microsoft word, Microsoft Exel ,Microsoft Powerpoint, Difference Between Office 2007 and 2010
Deck is a library for clients to make scalable presentations, using a standard markup language. Clients read deck files into the Deck structure, and traverse the structure for display, publication, etc. Clients may be interactive or produce standard formats such as SVG or PDF.
Also included is a REST API for listing content, uploading, stopping, starting and removing decks, generating tables, and playing video.
All layout in done in terms of percentages, using a coordinate system with the origin (0%, 0%) at the lower left. The x (horizontal) direction increases to the right, with the y (vertical) direction increasing to upwards. For example, to place an element in the middle of the canvas, specify xp="50" yp="50". To place an element one-third from the top, and one-third from the bottom: xp="66.6" yp="33.3".
The size of text is also scaled to the width of the canvas. For example sp="3" is a typical size for slide headings. The dimensions of graphical elements (width, height, stroke width) are also scaled to the canvas width.
The content of the slides are automatically scaled based on the specified canvas size (sane defaults are should be set the clients, if dimensions not specified)
SVGo is a Go programming language library for generation of SVG. The talk discusses the design of the library, the concept of sketching in code, and the development of visualizations and tools.
Where2.0Now - Finding the heat in Thematic MapsJohn Fagan
Thematic Mapping was once a specialist process for analysing statistical data spatially. GI Professionals understood how to do it, why they were doing and how to interpret the results. Thanks to the proliferation of API’s from the Web 2.0 world, Thematic Mapping API’s have become readily available and accessible by any developer with basic technical know how. You don’t have to be a GI Professional to create an impressive looking Thematic Map of your data. This presentation attempts to discuss how increased accessibility to geospatial processes is a good thing, BUT, you need to understand the underlying principles of geospatial analysis if you are going to leverage this technology
Ever since we broke apart the front and back-end of our systems, we’ve longed to partially reunite them with a shared language. The benefits of code reuse and shared tooling are compelling but is this nirvana possible? In this session we will explore building both the front (mobile and web) and back-end of an application with a shared Kotlin codebase. You will learn how to setup the build, share code, and deploy the back-end as a serverless app.
Looking for a computer institute to learn Full Stack development and Digital Marketing? Our institute offers comprehensive courses in both areas, providing students with the skills and knowledge needed to succeed in today's digital landscape
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
1. Folium – a wrapper for
Quick Start
Installation
Use install.packages("leaflet") to installize the package or directly from
Github devtools::install_github("rstudio/leaflet").
First Map
m <- leaflet() %>% # leaflet works with the pipe operator
addTiles() %>% # setup the default OpenStreetMap map tiles
addMarkers(lng = 174.768, lat = -36.852, popup = "The birthplace of R”)
# add a single point layer
m
Leaflet Cheat Sheet
an open-source JavaScript library for mobile-friendly interactive maps
for
Ge
Map Widget
Initialization
m <- leaflet(options = leafletOptions(...))
center Initial geographic center of the map
zoom Initial map zoom level
minZoom Minimum zoom level of the map
maxZoom Maximum zoom level of the map
Map Methods
m %>% setView(lng, lat, zoom, options = list())
Set the view of the map (center and zoom level)
m %>% fitBounds(lng1, lat1, lng2, lat2)
Fit the view into the rectangle [lng1, lat1] - [lng2, lat2]
m %>% clearBounds()
Clear the bound, automatically determine from the map elements
Data Object
Both leaflet() and the map layers have an optional data parameter that is
designed to receive spatial data with the following formats:
Base R The arguments of all layers take normal R objects:
df <- data.frame(lat = ..., lng = ... )
leaflet(df) %>% addTiles() %>% addCircles()
sp package library(sp) Useful functions:
SpatialPoints, SpatialLines, SpatialPolygons, ...
maps package library(maps) Build a map of states with colors:
mapStates <- map("state", fill = TRUE, plot = FALSE)
leaflet(mapStates) %>% addTiles() %>%
addPolygons(fillColor = topo.colors(10, alpha =
NULL), stroke = FALSE)
Markers
Popups and Labels
Use markers to call out points, express locations with latitude/longitude
coordinates, appear as icons or as circles.
Data come from vectors or assigned data frame, or sp package objects.
Icon Markers
Regular Icons: default and simple
addMarkers(lng, lat, popup, label) add basic icon markers
makeIcon/icons (iconUrl, iconWidth, iconHeight, iconAnchorX, iconAnchorY,
shadowUrl, shadowWidth, shadowHeight, ... ) customize marker icons
iconList() create a list of icons
Awesome Icons: customizable with colors and icons
addAwesomeMarkers, makeAwesomeIcon, awesomeIcons, awesomeIconList
Marker Clusters: option of addMarters()
clusterOptions = markerClusterOptions()
freezeAtZoom Freeze the cluster at assigned zoom level
Circle Markers
addCircleMarkers(color, radius, stroke, opacity, ... )
Customize their color, radius, stroke, opacity
Lines and Shapes
Kejia Shi @ Data Science Institute, Columbia University in the City of New York, Kejia.Shi@Columbia.edu
addPopups(lng, lat, ...content..., options) Add standalone popups
options = popupOptions(closeButton=FALSE)
addMarkers(..., popup, ... ) Show popups with markers or shapes
addMarkers(..., label, labelOptions... ) Show labels with markers or shapes
labelOptions = labelOptions(noHide, textOnly, textsize, direction, style)
addLabelOnlyMarkers() Add labels without markers
Polygons and Polylines
addPolygons(color, weight=1, smoothFactor=0.5, opacity=1.0, fillOpacity=0.5,
fillColor= ~colorQuantile("YlOrRd", ALAND)(ALAND), highlightOptions, … )
highlightOptions(color, weight=2, bringToFront=TRUE) highlight shapes
Use rmapshaper::ms_simplify to simplify complex shapes
Circles addCircles(lng, lat, weight=1, radius, ... )
Rectangles addRectangles(lng1, lat1, lng2, lat2, fillColor="transparent", ... )
Basemaps
addTiles() providers$Stamen.Toner, CartoDB.Positron, Esri.NatGeoWorldMap
Default Tiles Third-Party Tiles addProviderTiles()
Use addTiles() to add a custom map tile URL template, use addWMSTiles() to
add WMS (Web Map Service) tiles
There are two
* To read into
geojsonio::geo
* Or to use the
addTopoJSON/
Styles can also
Other package
generate the d
To integrate a L
* In the UI, call
* On the server
* Inside the ren
To modify an e
can use leafletP
server side.
Other useful fu
fitBounds(0, 0, 1
addCircles(1:10,
removeShape(c
clearShapes()
Object Events
Object event na
input$MAPID_O
Triger an event
Valid values for
Valid values for
All of these eve
or a list() that in
* lat The latitud
* lng The longit
* id The layerI
GeoJSON event
* featureId The
* properties Th
Map Events
input$MAPID_c
input$MAPID_b
input$MAPID_z
an open-source JavaScript library for mobile-friendly interactive maps
Markers
Icon Markers
> folium.Marker([lat, lon], popup, tooltip) - add basic icon markers
> folium.Icon(color, icon) - customize marker icons
Circle Markers
> folium.Circle(location, fill_color, fill_opacity, color, color,_opacity,
radius, popup, …) - Customize the color, radius, stroke, opacity
Vincent/Vega and Altair/VegaLite Markers
> m = folium.Map(location)
> VegaPop = folium.Popup(max_width).add_child(folium.Vega(json,
width, height)) - built-in support for vincent and altair visualizations
> folium.Marker(location, popup=VegaPop).add_to(m)
MarkerClusters
> m = folium.Map(location)
> marker_cluster = MarkerCluster().add_to(m)
> folium.Marker([lat, lon], popup, tooltip).add_to(marker_cluster)
ClickForMarker and PopOvers
> m = folium.Map(location)
> m.add_child(folium.LatLngPopup()) - conveniently add lat/lng
popovers
> m.add_child(folium.ClickForMarker(popup)) - on-the-fly placement of
markers
BoatMarker
> plugins.BoatMarker(location, heading, wind_heading, wind_speed)
- also: color, popup, icon, **kws
Quick Start
Installation
Use: pip install folium
or pip install git+git+goo.gl/kmkGd3 - to install directly from GitHub
Basic Map
> import folium
> from folium import plugins
> m = folium.Map(location = [45.372, -121.6972])
> folium.Marker([45.3288, -121.6625],
popup='<i>Mt. Hood Meadows</i>',
tooltip=‘click me’).add_to(m)
> m
Lines and Shapes
Popups and Labels
Plugins
Basemaps
> folium.Map(location, tiles = ‘Stamen Toner’) - use a variety of tiles
Default ‘Stamen Toner’ ‘Mapbox Control Room’
‘Cartodb Positron’ ‘Stamen Terrain’ Custom
> folium.Popup(html, parse_html, max_width)
Vega Popup Fancy HTML Popup
Lines & PolyLineTextPath
> folium.PolyLine(locations, tooltip, popup).add_to(m) - also: color,
opacity, weight, smoothing_factor, line_cap, **kws
> plugins.PolyLineTextPath(folium.PolyLine(locations), text, repeat,
offset, attributes) - also: orientation, below, center,**kws
Polygons
> folium.Polygon(locations, tooltip, popup).add_to(m) - also: color,
opacity, weight, fill_color, fill_opacity, smooth_factor, no_clip, **kws
Circles
> folium.Circle(location, tooltip, popup).add_to(m) - also: color, opacity,
weight, fill_color, fill_opacity, radius, **kws
> folium.CircleMarker(location, tooltip, popup).add_to(m) - also: color,
opacity, weight, fill_color, fill_opacity, radius, **kws
Rectangles
> folium.Rectangle(bounds=[[lat,lon],[lat,lon]], tooltip,
popup).add_to(m) - also: color, fill_color, dash_array, weight, line_join,
line_cap, opacity, fill_opacity, **kws
GeoJson and TopoJson
GeoJson and GeoJsonCSS
> folium.GeoJson(GeoJson_path) - add name then use
folium.LayerControl().add_to(m)
> folium.GeoJsonCss(GeoJsonCss) - add styling, and popups into the data
TopoJson
> folium.TopoJson(TopoJson_path) - add name then use
folium.LayerControl().add_to(m)
Choropleth
> folium.choropleth(geo_data, data, columns, key_on, fill_color) -
also: name, threshold_scale, line_color, line_weight, line_opacity, legend_name,
topojson, **kws
ScrollZoomToggler, Terminator and Fullscreen
> plugins.ScrollZoomToggler().add_to(m)
> plugins.Terminator().add_to(m)
> plugins.Fullscreen(position) - also: title, title_cancel, force_serperation_button
Search, Draw and MeasureControl
> plugins.Search(GeoJson, search_zoom, geom_type).add_to(m)
- also: search_label, position, popup_on_found
> plugins.Draw().add_to(m) - also: export
> m.add_child(plugins.MeasureControl()) - also: position, primary_length_unit,
primary_area_unit, secondary_length_unit, secondary_area_unit
FloatImage
> plugins.FloatImage(url, bottom, left).add_to(m)
TimestampedGeoJson
> plugins.TimestampedGeoJson(GeoJson, period) - also: add_last_point,
dateOptions, auto_play…
HeatMap and HeatMapWithTime
> plugins.HeatMap(data).add_to(m) - also: name, radius, min_opacity, max_val,
blur, gradient, overlay, max_zoom
> plugins.HeatMapWithTime(data).add_to(m) - also: index, name, radius,
min_opacity, max_opacity, auto_play, position, …
CC BY Andrew Challis • andrewchallis@hotmail.co.uk • andrewchallis.co.uk • Learn more at http://python-visualization.github.io/folium/docs-master/ • package version 0.5.0 • Updated: 2017-10Adapted from Rstudio materials https://rstudio.github.io/leaflet/