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id conf start state episode.name
per New York Times Manual of Style
cmt released yt
mp4
10200 218 Sat 15 10:00 11 PyLLVM: A compiler from Python to LLVM-IR
PyLLVM: A Compiler From Python to LLVM-IR
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10055 163 Sat 15 10:00 11 Docker containers in the cloud: Provider Deathmatch
Docker Containers in the Cloud: Provider Deathmatch
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10038 168 Sat 15 10:30 11 Development with Vim and Python
Development With Vim and Python
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10056 204 Sat 15 10:30 11 Connecting color and language
Connecting Color and Language
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10052 134 Sat 15 11:15 11 Building tools for Social good
Building Tools for Social Good
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10059 205 Sat 15 11:15 11 Building a Real-Time Analytics Service with InfluxDB
Building a Real-Time Analytics Service With InfluxDB
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10018 189 Sat 15 11:45 11 Writing Winforms and WPF applications in Python
Writing Winforms and WPF Applications in Python
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10210 223 Sat 15 13:15 1 Python As A Language
Python as a Language
Y R
10016 120 Sat 15 13:15 0 Hacking with python for dummies. (Ms-067 implementation)
Hacking With Python for Dummies. (Ms-067 Implementation)
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10011 202 Sat 15 13:15 11 Building a data processing pipeline in Python
Building a Data Processing Pipeline in Python
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10015 117 Sat 15 13:45 1 The Graph To My Hearduino
The Graph to My Hearduino
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10027 127 Sat 15 13:45 11 Why doesn’t anyone use my library?
Why Doesn’t Anyone Use My Library?
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10062 208 Sat 15 14:30 11 Building Cross-Platform Native Desktop Applications with PyQt
Building Cross-Platform Native Desktop Applications With PyQt
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10045 179 Sat 15 14:30 11 Scaling Graph Computations with Online Algorithms
Scaling Graph Computations With Online Algorithms
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10209 123 Sun 16 10:00 11 introduction to open and collaborative data analysis with pandas and IPython/Jupyter Notebook
Introduction to Open and Collaborative Data Analysis With Pandas and IPython/Jupyter Notebook
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10041 215 Sun 16 10:00 11 How reviewing code makes me a better programmer!
How Reviewing Code Makes Me a Better Programmer!
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10021 125 Sun 16 10:00 11 Scraping (some of) the NYPL Catalog: a story of Requests and BeautifulSoup
Scraping (Some Of) the NYPL Catalog: A Story of Requests and BeautifulSoup
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10040 203 Sun 16 11:15 11 State of the library: matplotlib
State of the Library: Matplotlib
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10201 219 Sun 16 11:15 11 One, two, buckle your shoe
One, Two, Buckle Your Shoe
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10044 207 Sun 16 11:45 11 An Iterative Approach to Inverse Problems using Python's Numpy
An Iterative Approach to Inverse Problems Using Python's Numpy
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10057 201 Sun 16 11:45 11 Introduction to pysparkling
Introduction to Pysparkling
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10034 170 Sun 16 13:15 11 What's up with th@? Adding an Operator to CPython
What's Up With Th@? Adding an Operator to CPython
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10048 209 Sun 16 13:15 11 Voice programming: a how-to
Voice Programming: A How-To
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10049 156 Sun 16 13:45 11 Pyxley: Easy Web Applications with Flask and React.js
Pyxley: Easy Web Applications With Flask and React.js
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10023 154 Sun 16 13:45 11 Intro to Building Data Pipelines in Python with Luigi
Intro to Building Data Pipelines in Python With Luigi
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10199 217 Sun 16 14:30 11 Think of the Children: A methodology for measuring the effectiveness of adaptive learning applications
Think of the Children: A Methodology for Measuring the Effectiveness of Adaptive Learning Applications
179 Y Y R
10063 169 Sun 16 14:30 11 Going parallel and larger-than-memory with graphs
Going Parallel and Larger-than-memory With Graphs
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10204 175 Sun 16 15:00 11 What the FORTRAN is ** Doing in Python ?
What the FORTRAN Is ** Doing in Python ?
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10053 146 Sun 16 15:30 11 Large scale non-linear learning on a single CPU
Large Scale Non-linear Learning on a Single CPU
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10065 171 Sun 16 16:00 11 The Python Datamodel: When and how to write objects
The Python Datamodel: When and How to Write Objects
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