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Generative Design - Fall 2021
Danil Nagy
5,83 тыс. подписчиков
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200 видео с канала:
Danil Nagy
Generative Design - Fall 2021
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Unpacking the Genetic Algorithm
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Programming adjacencies
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Optimizing layouts
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Subdivision for space planning
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Recursive Algorithms
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Elements of Python: Variables
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Introduction to Python
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Designing with Parameters, Objectives, and Constraints
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What is Generative Design?
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Getting started with Discover
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Generative Design trailer
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Discover - visualization
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Discover - working with constraints
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Discover - working with parameter types
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Intro to Discover - overview
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Architectural Projections in Rhino
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SP18 - Mediums 3 - ReCap, Rhino, Meshmixer workflows
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Introduction to Rhino - Editing surfaces and working with solids
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Introduction to Rhino - Surfaces
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Introduction to Rhino - Curves
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Introduction to Rhino - Interface
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Paradigm Shift Keynote
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Introduction to Grasshopper 2/2
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Introduction to Grasshopper 1/2
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Modeling geometry in Grasshopper 1/3
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Modeling geometry in Grasshopper 2/3
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Modeling geometry in Grasshopper 3/3
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DMC4 - Introduction
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Basic genetic algorithm (GA) implementation using Python in Rhino Grasshopper
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Basic truss optimization (TO) implementation using Python in Rhino Grasshopper
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Data Mining the City FA14: Week 12 TileMill Part 6/6: CartoDB Tilemill Workflow
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Data Mining the City FA14: Week 12 TileMill Part 5/6: Raster Importing and Export to Mapbox
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Data Mining the City FA14: Week 12 TileMill Part 4/6: Custom Markers and Icons
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Data Mining the City FA14: Week 12 TileMill Part 3/6: TileMill Data Stylization
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Data Mining the City FA14: Week 12 TileMill Part 2/6: Importing and Stylizing in Tilemill
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Data Mining the City FA14: Week 12 TileMill Part 1/6: MapBox and Tilemill Interface
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Data Mining the City FA14: Week 11 NLP/ML Demo Part 6/16: Exporting word data
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Data Mining the City FA14: Week 11 NLP/ML Demo Part 16/16: Importing into QGIS
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Data Mining the City FA14: Week 11 NLP/ML Demo Part 15/16: Making predictions
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Data Mining the City FA14: Week 11 NLP/ML Demo Part 14/16: Prediction vs. decision function
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Data Mining the City FA14: Week 11 NLP/ML Demo Part 13/16: Loading comment data
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Data Mining the City FA14: Week 11 NLP/ML Demo Part 12/16: Importing prediction data
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Data Mining the City FA14: Week 11 NLP/ML Demo Part 11/16: Visualizing the model
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Data Mining the City FA14: Week 11 NLP/ML Demo Part 10/16: Training the ML model
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Data Mining the City FA14: Week 11 NLP/ML Demo Part 9/16: Visualizing the data
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Data Mining the City FA14: Week 11 NLP/ML Demo Part 8/16: Preparing the data for training
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Data Mining the City FA14: Week 11 NLP/ML Demo Part 7/16: Creating feature data
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Data Mining the City FA14: Week 11 NLP/ML Demo Part 5/16: Masking with random sample
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Data Mining the City FA14: Week 11 NLP/ML Demo Part 4/16: Working with collections
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Data Mining the City FA14: Week 11 NLP/ML Demo Part 3/16: Generating a list of words
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Data Mining the City FA14: Week 11 NLP/ML Demo Part 2/16: Iterating over all comments
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Data Mining the City FA14: Week 11 NLP/ML Demo Part 1/16: Reading in reference files
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Data Mining the City FA14: Week 9 ML Demo Part 9/9: Importing into QGIS
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Data Mining the City FA14: Week 9 ML Demo Part 8/9: Exporting predictions to file
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Data Mining the City FA14: Week 9 ML Demo Part 7/9: Making predictions
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Data Mining the City FA14: Week 9 ML Demo Part 6/9: Preparing the prediction data
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Data Mining the City FA14: Week 9 ML Demo Part 5/9: Validating the model
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Data Mining the City FA14: Week 9 ML Demo Part 4/9: Training the model
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Data Mining the City FA14: Week 9 ML Demo Part 3/9: Preparing the data
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Data Mining the City FA14: Week 9 ML Demo Part 2/9: Reading the data
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Data Mining the City FA14: Week 9 ML Demo Part 1/9: Generating the data
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Data Mining the City FA14: Week 9 ML Lecture Part 13/13: 2d example with svm
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Data Mining the City FA14: Week 9 ML Lecture Part 12/13: Scikit-learn library for Python
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Data Mining the City FA14: Week 9 ML Lecture Part 11/13: The error function
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Data Mining the City FA14: Week 9 ML Lecture Part 10/13: Non-linear and soft margin svm's
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Data Mining the City FA14: Week 9 ML Lecture Part 9/13: Support vector machines
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Data Mining the City FA14: Week 9 ML Lecture Part 8/13: Cross validation
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Data Mining the City FA14: Week 9 ML Lecture Part 7/13: How do we deal with noise?
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Data Mining the City FA14: Week 9 ML Lecture Part 6/13: How do we evaluate models?
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Data Mining the City FA14: Week 9 ML Lecture Part 5/13: A simple example in 1d
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Data Mining the City FA14: Week 9 ML Lecture Part 4/13: What are the applications?
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Data Mining the City FA14: Week 9 ML Lecture Part 3/13: How do we learn?
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Data Mining the City FA14: Week 9 ML Lecture Part 2/13: What is learning?
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Data Mining the City FA14: Week 9 ML Lecture Part 1/13: Why should we learn?
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Data Mining the City FA14: Week 8 Graphs Part 8/8: Importing into QGIS
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Data Mining the City FA14: Week 8 Graphs Part 6/8: Building graph
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Data Mining the City FA14: Week 8 Graphs Part 7/8: Writing WKT file
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Data Mining the City FA14: Week 8 Graphs Part 5/8: Working with datetime
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Data Mining the City FA14: Week 8 Graphs Part 4/8: Pickling data
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Data Mining the City FA14: Week 8 Graphs Part 3/8: Reading zip file
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Data Mining the City FA14: Week 8 Graphs Part 2/8: Reading base file
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Data Mining the City FA14: Week 8 Graphs Part 1/8: Exporting data from QGIS
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Data Mining the City FA14: Week 6 QGIS Raster Part 2/5: Filtering the data set
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Data Mining the City FA14: Week 6 QGIS Raster Part 1/5: Georeferencing raster maps
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Data Mining the City FA14: Week 6 QGIS Raster Part 4/5: Interpolation
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Data Mining the City FA14: Week 6 QGIS Raster Part 3/5: Heatmap and styling raster layers
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Data Mining the City FA14: Week 6 QGIS Raster Part 5/5: Extracting contours
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Data Mining the City FA14: Week 5 QGIS Part 13/13: Exporting map to file
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Data Mining the City FA14: Week 5 QGIS Part 12/13: Visualizing the data
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Data Mining the City FA14: Week 5 QGIS Part 11/13: Grid joining
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Data Mining the City FA14: Week 5 QGIS Part 10/13: Grid counting
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Data Mining the City FA14: Week 5 QGIS Part 9/13: Setting up a grid
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Data Mining the City FA14: Week 5 QGIS Part 8/13: Spatial query
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Data Mining the City FA14: Week 5 QGIS Part 7/13: Basic point visualization
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Data Mining the City FA14: Week 5 QGIS Part 6/13: Editing shapefiles
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Data Mining the City FA14: Week 5 QGIS Part 5/13: Importing data
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Data Mining the City FA14: Week 5 QGIS Part 4/13: Scale and detail
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Data Mining the City FA14: Week 5 QGIS Part 3/13: Projection systems
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Data Mining the City FA14: Week 5 QGIS Part 2/13: Adding layers
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Data Mining the City FA14: Week 5 QGIS Part 1/13: Interface
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Data Mining the City FA14: WS Addendum Part 2/4: Looping over pages
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Data Mining the City FA14: WS Addendum Part 4/4: Exporting data from the web
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Data Mining the City FA14: WS Addendum Part 3/4: Writing to a file
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Data Mining the City FA14: WS Addendum Part 1/4: Advanced HTML and Web 2.0 structure
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Data Mining the City FA14: Week 4 WS Part 3/4: Parsing HTML with BeautifulSoup
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Data Mining the City FA14: Week 4 WS Part 2/4: Downloading HTML source with Python
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Data Mining the City FA14: Week 4 WS Part 4/4: Looping over data
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Data Mining the City FA14: Week 4 WS Part 1/4: Intro to HTML and Web 2.0 structure
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Data Mining the City FA14: Week 3 API Part 7/7: Troubleshooting with try/except blocks
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Data Mining the City FA14: Week 3 API Part 6/7: Looping over pages with dynamic calls
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Data Mining the City FA14: Week 3 API Part 5/7: Extracting functions
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Data Mining the City FA14: Week 3 API Part 4/7: Looping over data
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Data Mining the City FA14: Week 3 API Part 3/7: Parsing data with JSON
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Data Mining the City FA14: Week 3 API Part 2/7: Accessing with Python
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Data Mining the City FA14: Week 3 API Part 1/7: Accessing the API
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Data Mining the City FA14: Getting a Weibo auth code
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Data Mining the Chinese Creative City Demo
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Python Scripting in Grasshopper - GH Animation 1/1
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Python Scripting in Grasshopper - Scripting Rhino 2/2
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Python Scripting in Grasshopper - Scripting Rhino 1/2
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Python Scripting in Grasshopper - Scripting Form 2/2
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Python Scripting in Grasshopper - Scripting Form 1/2
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Python Scripting in Grasshopper 5/5 - Referencing Geometry
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Python Scripting in Grasshopper 4/5 - Functions
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Python Scripting in Grasshopper 3/5 - Conditionals and Loops
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Python Scripting in Grasshopper 2/5 - Variables
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Python Scripting in Grasshopper 1/5 - Introduction
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GH IsoVist for View Angles 1/1
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Karamba Structural Analysis 4/4 - Real-time Feedback
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Karamba Structural Analysis 3/4 - Wind Load
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Karamba Structural Analysis 2/4 - Supports, Loads, and Visualization
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Rendering Analysis Results 3/4 - Looping and Creating Objects
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Karamba Structural Analysis 1/4 - Model Assembly
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Rendering Analysis Results 4/4 - Setting Material Properties
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Rendering Analysis Results 2/4 - Conditionals
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Rendering Analysis Results 1/4 - Setting up the Inputs
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Grasshopper Data Structure 6/6
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Grasshopper Data Structure 5/6
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Grasshopper Data Structure 4/6
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Grasshopper Data Structure 3/6
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Grasshopper Data Structure 2/6
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Grasshopper Data Structure 1/6
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Vasari Wind Tunnel 1/1
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Geco Grasshopper - Daylighting Analysis 3/3
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Geco Grasshopper - Daylighting Analysis 2/3
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Geco Grasshopper - Daylighting Analysis 1/3
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Geco Grasshopper - Insolation Analysis 2/2
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Geco Grasshopper - Insolation Analysis 1/2
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Geco Grasshopper - Sun Path and Shading 4/4
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Geco Grasshopper - Sun Path and Shading 3/4
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Geco Grasshopper - Sun Path and Shading 2/4
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Geco Grasshopper - Sun Path and Shading 1/4
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Solar Shading Optimization with Heliotrope 2/2
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Grasshopper Attractor Points 3/3
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Grasshopper Heliotrope Insolation Analysis 1/3
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Solar Shading Optimization with Heliotrope 1/2
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Grasshopper Attractor Points 2/3
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Grasshopper Attractor Points 1/3
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Grasshopper Plugins Introduction
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Grasshopper Heliotrope Insolation Analysis 3/3
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Grasshopper Heliotrope Insolation Analysis 2/3
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Optimization Introduction
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Grasshopper Heliotrope Setup
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Basic Analysis in Grasshopper part 2
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Advanced Analysis in Grasshopper part 3
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Basic Analysis in Grasshopper part 1
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Rhino Environment part 2
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Basic Analysis in Grasshopper part 4
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Advanced Analysis in Grasshopper part 4
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Basic Analysis in Grasshopper part 3
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Advanced Analysis in Grasshopper part 1
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Rhino Environment part 1
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Advanced Analysis in Grasshopper part 2
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Datamining the City_Week 5_Part 6_Basic Heatmap Analysis
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Datamining the City_Week 5_Part 5_Loading Data into Tilemill
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Datamining the City_Week 5_Part 4_QGIS
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Datamining the City_Week 5_Part 3_Mapbox
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Datamining the City_Week 5_Part 2_CartoDB
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Datamining the City_Week 5_Part 1_Introduction to Web-Based Mapping
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Datamining the City_Week 3_Part 8_Python for API
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Datamining the City_Week 3_Part 7_API Introduction
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Datamining the City_Week 3_Part 6_Importing and Error Handling
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Datamining the City_Week 3_Part 5_Writing to File
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Datamining the City_Week 3_Part 4_Automation
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Datamining the City_Week 3_Part 3_Extracting Data
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Datamining the City_Week 3_Part 2_Parsing HTML
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Datamining the City_Week 3_Part 1_HTML Basics
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Datamining the City_Week 2_Part 7_Classes
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Datamining the City_Week 2_Part 6_Functions
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Datamining the City_Week 2_Part 5_Loops
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Datamining the City_Week 2_Part 3_Variables
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Datamining the City_Week 2_Part 4_Conditionals
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Datamining the City_Week 2_Part 2_Starting in Python
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Datamining the City_Week 2_Part 1_Installing Python
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Bone Growth Simulation Demo
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Cell Signal Tracker Demo
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Rhino bandshell construction
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Solaris Test
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Proof6_CatBot Tutorial Part 8
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Канал: Danil Nagy
Generative Design - Fall 2021
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Unpacking the Genetic Algorithm
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Programming adjacencies
Скачать
Optimizing layouts
Скачать
Subdivision for space planning
Скачать
Recursive Algorithms
Скачать
Elements of Python: Variables
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Introduction to Python
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Designing with Parameters, Objectives, and Constraints
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What is Generative Design?
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Getting started with Discover
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Generative Design trailer
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Discover - visualization
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Discover - working with constraints
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Discover - working with parameter types
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Intro to Discover - overview
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Architectural Projections in Rhino
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SP18 - Mediums 3 - ReCap, Rhino, Meshmixer workflows
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Introduction to Rhino - Editing surfaces and working with solids
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Introduction to Rhino - Surfaces
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Introduction to Rhino - Curves
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Introduction to Rhino - Interface
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Paradigm Shift Keynote
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Introduction to Grasshopper 2/2
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Introduction to Grasshopper 1/2
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Modeling geometry in Grasshopper 1/3
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Modeling geometry in Grasshopper 2/3
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Modeling geometry in Grasshopper 3/3
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DMC4 - Introduction
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Basic genetic algorithm (GA) implementation using Python in Rhino Grasshopper
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Basic truss optimization (TO) implementation using Python in Rhino Grasshopper
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Data Mining the City FA14: Week 12 TileMill Part 6/6: CartoDB Tilemill Workflow
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Data Mining the City FA14: Week 12 TileMill Part 5/6: Raster Importing and Export to Mapbox
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Data Mining the City FA14: Week 12 TileMill Part 4/6: Custom Markers and Icons
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Data Mining the City FA14: Week 12 TileMill Part 3/6: TileMill Data Stylization
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Data Mining the City FA14: Week 12 TileMill Part 2/6: Importing and Stylizing in Tilemill
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Data Mining the City FA14: Week 12 TileMill Part 1/6: MapBox and Tilemill Interface
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Data Mining the City FA14: Week 11 NLP/ML Demo Part 6/16: Exporting word data
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Data Mining the City FA14: Week 11 NLP/ML Demo Part 16/16: Importing into QGIS
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Data Mining the City FA14: Week 11 NLP/ML Demo Part 15/16: Making predictions
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Data Mining the City FA14: Week 11 NLP/ML Demo Part 14/16: Prediction vs. decision function
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Data Mining the City FA14: Week 11 NLP/ML Demo Part 13/16: Loading comment data
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Data Mining the City FA14: Week 11 NLP/ML Demo Part 12/16: Importing prediction data
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Data Mining the City FA14: Week 11 NLP/ML Demo Part 11/16: Visualizing the model
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Data Mining the City FA14: Week 11 NLP/ML Demo Part 10/16: Training the ML model
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Data Mining the City FA14: Week 11 NLP/ML Demo Part 9/16: Visualizing the data
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Data Mining the City FA14: Week 11 NLP/ML Demo Part 8/16: Preparing the data for training
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Data Mining the City FA14: Week 11 NLP/ML Demo Part 7/16: Creating feature data
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Data Mining the City FA14: Week 11 NLP/ML Demo Part 5/16: Masking with random sample
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Data Mining the City FA14: Week 11 NLP/ML Demo Part 4/16: Working with collections
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Data Mining the City FA14: Week 11 NLP/ML Demo Part 3/16: Generating a list of words
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Data Mining the City FA14: Week 11 NLP/ML Demo Part 2/16: Iterating over all comments
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Data Mining the City FA14: Week 11 NLP/ML Demo Part 1/16: Reading in reference files
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Data Mining the City FA14: Week 9 ML Demo Part 9/9: Importing into QGIS
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Data Mining the City FA14: Week 9 ML Demo Part 8/9: Exporting predictions to file
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Data Mining the City FA14: Week 9 ML Demo Part 7/9: Making predictions
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Data Mining the City FA14: Week 9 ML Demo Part 6/9: Preparing the prediction data
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Data Mining the City FA14: Week 9 ML Demo Part 5/9: Validating the model
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Data Mining the City FA14: Week 9 ML Demo Part 4/9: Training the model
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Data Mining the City FA14: Week 9 ML Demo Part 3/9: Preparing the data
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Data Mining the City FA14: Week 9 ML Demo Part 2/9: Reading the data
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Data Mining the City FA14: Week 9 ML Demo Part 1/9: Generating the data
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Data Mining the City FA14: Week 9 ML Lecture Part 13/13: 2d example with svm
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Data Mining the City FA14: Week 9 ML Lecture Part 12/13: Scikit-learn library for Python
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Data Mining the City FA14: Week 9 ML Lecture Part 11/13: The error function
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Data Mining the City FA14: Week 9 ML Lecture Part 10/13: Non-linear and soft margin svm's
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Data Mining the City FA14: Week 9 ML Lecture Part 9/13: Support vector machines
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Data Mining the City FA14: Week 9 ML Lecture Part 8/13: Cross validation
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Data Mining the City FA14: Week 9 ML Lecture Part 7/13: How do we deal with noise?
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Data Mining the City FA14: Week 9 ML Lecture Part 6/13: How do we evaluate models?
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Data Mining the City FA14: Week 9 ML Lecture Part 5/13: A simple example in 1d
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Data Mining the City FA14: Week 9 ML Lecture Part 4/13: What are the applications?
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Data Mining the City FA14: Week 9 ML Lecture Part 3/13: How do we learn?
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Data Mining the City FA14: Week 9 ML Lecture Part 2/13: What is learning?
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Data Mining the City FA14: Week 9 ML Lecture Part 1/13: Why should we learn?
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Data Mining the City FA14: Week 8 Graphs Part 8/8: Importing into QGIS
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Data Mining the City FA14: Week 8 Graphs Part 6/8: Building graph
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Data Mining the City FA14: Week 8 Graphs Part 7/8: Writing WKT file
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Data Mining the City FA14: Week 8 Graphs Part 5/8: Working with datetime
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Data Mining the City FA14: Week 8 Graphs Part 4/8: Pickling data
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Data Mining the City FA14: Week 8 Graphs Part 3/8: Reading zip file
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Data Mining the City FA14: Week 8 Graphs Part 2/8: Reading base file
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Data Mining the City FA14: Week 8 Graphs Part 1/8: Exporting data from QGIS
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Data Mining the City FA14: Week 6 QGIS Raster Part 2/5: Filtering the data set
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Data Mining the City FA14: Week 6 QGIS Raster Part 1/5: Georeferencing raster maps
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Data Mining the City FA14: Week 6 QGIS Raster Part 4/5: Interpolation
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Data Mining the City FA14: Week 6 QGIS Raster Part 3/5: Heatmap and styling raster layers
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Data Mining the City FA14: Week 6 QGIS Raster Part 5/5: Extracting contours
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Data Mining the City FA14: Week 5 QGIS Part 13/13: Exporting map to file
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Data Mining the City FA14: Week 5 QGIS Part 12/13: Visualizing the data
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Data Mining the City FA14: Week 5 QGIS Part 11/13: Grid joining
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Data Mining the City FA14: Week 5 QGIS Part 10/13: Grid counting
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Data Mining the City FA14: Week 5 QGIS Part 9/13: Setting up a grid
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Data Mining the City FA14: Week 5 QGIS Part 8/13: Spatial query
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Data Mining the City FA14: Week 5 QGIS Part 7/13: Basic point visualization
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Data Mining the City FA14: Week 5 QGIS Part 6/13: Editing shapefiles
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Data Mining the City FA14: Week 5 QGIS Part 5/13: Importing data
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Data Mining the City FA14: Week 5 QGIS Part 4/13: Scale and detail
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Data Mining the City FA14: Week 5 QGIS Part 3/13: Projection systems
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Data Mining the City FA14: Week 5 QGIS Part 2/13: Adding layers
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Data Mining the City FA14: Week 5 QGIS Part 1/13: Interface
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Data Mining the City FA14: WS Addendum Part 2/4: Looping over pages
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Data Mining the City FA14: WS Addendum Part 4/4: Exporting data from the web
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Data Mining the City FA14: WS Addendum Part 3/4: Writing to a file
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Data Mining the City FA14: WS Addendum Part 1/4: Advanced HTML and Web 2.0 structure
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Data Mining the City FA14: Week 4 WS Part 3/4: Parsing HTML with BeautifulSoup
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Data Mining the City FA14: Week 4 WS Part 2/4: Downloading HTML source with Python
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Data Mining the City FA14: Week 4 WS Part 4/4: Looping over data
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Data Mining the City FA14: Week 4 WS Part 1/4: Intro to HTML and Web 2.0 structure
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Data Mining the City FA14: Week 3 API Part 7/7: Troubleshooting with try/except blocks
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Data Mining the City FA14: Week 3 API Part 6/7: Looping over pages with dynamic calls
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Data Mining the City FA14: Week 3 API Part 5/7: Extracting functions
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Data Mining the City FA14: Week 3 API Part 4/7: Looping over data
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Data Mining the City FA14: Week 3 API Part 3/7: Parsing data with JSON
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Data Mining the City FA14: Week 3 API Part 2/7: Accessing with Python
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Data Mining the City FA14: Week 3 API Part 1/7: Accessing the API
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Data Mining the City FA14: Getting a Weibo auth code
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Data Mining the Chinese Creative City Demo
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Python Scripting in Grasshopper - GH Animation 1/1
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Python Scripting in Grasshopper - Scripting Rhino 2/2
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Python Scripting in Grasshopper - Scripting Rhino 1/2
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Python Scripting in Grasshopper - Scripting Form 2/2
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Python Scripting in Grasshopper - Scripting Form 1/2
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Python Scripting in Grasshopper 5/5 - Referencing Geometry
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Python Scripting in Grasshopper 4/5 - Functions
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Python Scripting in Grasshopper 3/5 - Conditionals and Loops
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Python Scripting in Grasshopper 2/5 - Variables
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Python Scripting in Grasshopper 1/5 - Introduction
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GH IsoVist for View Angles 1/1
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Karamba Structural Analysis 4/4 - Real-time Feedback
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