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Reimagining Cities with Prof. David Hsu
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Introduction to GIS, Part I: Key Concepts
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Introduction to R, Part III: Linear and Mixed Models in R
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Introduction to R, Part I: Interface and Data Structures
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Introduction to GIS, Part V: Extract Information from Maps using Spatial Data Points
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Introduction to R, Part IV: Loops and Functions
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Introduction to GIS, Part II: Vectorial Maps, Raster Maps, and Time Series
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Introduction to GIS, Part III: Projection
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Introduction to GIS, Part IV: Stack, Brick, Crop, and Mask
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Introduction to GIS, Part VI: Plotting Maps with ggplot2
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Introduction to R, Part II: Playing with the Data
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1:15:46
Lecture 12: List Comprehension, Functions as Objects, Testing, and Debugging (FIXED)
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The Kitchen Cloud Chamber with Prof. Anne White
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Lecture 6: Bisection Search (FIXED)
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Lecture 10: Lists and Mutability (FIXED)
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Lecture 14: Dictionaries
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46:42
Lecture 3: Iteration
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1:17:53
Lecture 16: Recursion on Non-numerics
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Lecture 21: Timing Programs and Counting Operations
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Lecture 25: Plotting
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Lecture 23: Complexity Classes Examples
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1:03:30
Lecture 1: Introduction to CS and Programming Using Python
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1:13:16
Lecture 4: Loops over Strings, Guess-and-Check, and Binary
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Lecture 22: Big Oh and Theta
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Lecture 19: Inheritance
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46:17
Lecture 11: Aliasing and Cloning
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47:48
Lecture 17: Python Classes
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Lecture 9: Lambda Functions, Tuples, and Lists
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Lecture 5: Floats and Approximation Methods
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Lecture 15: Recursion
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