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id conf start state len episode.name
per New York Times Manual of Style
episode.slug
cmt released yt
mp4
10212 220 Sat 15 09:00 11 91 Contributors, Colleagues, Clients & Customers: Sustaining Open Source Communities (Keynote)
Contributors, Colleagues, Clients & Customers: Sustaining Open Source Communities (Keynote)
Contributors_Colleagues_Clients_Customers_Sustaining_Open_Source_Communities_Keynote
Y Y R
10020 124 Sat 15 10:00 11 32 Teaching Python in Middle School
Teaching Python in Middle School
Teaching_Python_in_Middle_School
Y Y R
10200 218 Sat 15 10:00 11 41 PyLLVM: A compiler from Python to LLVM-IR
PyLLVM: A Compiler From Python to LLVM-IR
PyLLVM_A_compiler_from_Python_to_LLVMIR
Y Y R
10055 163 Sat 15 10:00 11 51 Docker containers in the cloud: Provider Deathmatch
Docker Containers in the Cloud: Provider Deathmatch
Docker_containers_in_the_cloud_Provider_Deathmatch
Y Y R
10051 129 Sat 15 10:00 11 58 The Yosai Project: Security Management for Any Application
The Yosai Project: Security Management for Any Application
The_Yosai_security_management_framework
Y Y R
10064 115 Sat 15 10:30 11 19 Hack the Derivative
Hack the Derivative
Hack_the_Derivative
Y Y R
10038 168 Sat 15 10:30 11 31 Development with Vim and Python
Development With Vim and Python
Development_with_Vim_and_Python
Y Y R
10056 204 Sat 15 10:30 11 29 Connecting color and language
Connecting Color and Language
Connecting_color_and_language
Y Y R
10036 167 Sat 15 11:15 11 16 Name Things Once
Name Things Once
Name_Things_Once_2
Y Y R
10061 206 Sat 15 11:15 11 30 A Tour of the Asynchronous Web
A Tour of the Asynchronous Web
Macaroons_Microservice_Authorization_Techniques
Y Y R
10059 205 Sat 15 11:15 11 52 Building a Real-Time Analytics Service with InfluxDB
Building a Real-Time Analytics Service With InfluxDB
Building_a_RealTime_Analytics_Service_with_InfluxDB
Y Y R
10052 134 Sat 15 11:15 11 30 Building tools for Social good
Building Tools for Social Good
Building_tools_for_Social_good
Y Y R
10018 189 Sat 15 11:45 11 47 Writing Winforms and WPF applications in Python
Writing Winforms and WPF Applications in Python
Writing_Winforms_Applications_in_Python
Y Y R
10025 182 Sat 15 11:45 11 44 Generic Programming for Agent-Based Modeling
Generic Programming for Agent-Based Modeling
Generic_Programming_for_AgentBased_Modeling
Y Y R
10210 223 Sat 15 13:15 1 20 Python As A Language
Python as a Language
Python_As_A_Language
Y R
10011 202 Sat 15 13:15 11 45 Building a data processing pipeline in Python
Building a Data Processing Pipeline in Python
Building_a_data_processing_pipeline_in_Python
Y Y R
10016 120 Sat 15 13:15 0 56 Hacking with python for dummies. (Ms-067 implementation)
Hacking With Python for Dummies. (Ms-067 Implementation)
Hacking_with_python_for_dummies
N Y R
10050 196 Sat 15 13:15 11 35 What Can I Do With "Deep Learning"?
What Can I Do With "Deep Learning"?
What_Can_I_Do_With_Deep_Learning
Y Y R
10207 138 Sat 15 13:15 9 19 Terminal Whispering
Terminal Whispering
Terminal_Whispering
Y Y R
10033 198 Sat 15 13:15 0 18 Hooked on Webhooks
Hooked on Webhooks
Hooked_on_Webhooks
Y R
10015 117 Sat 15 13:45 1 25 The Graph To My Hearduino
The Graph to My Hearduino
My_Hearduino_Will_Stream_On
Y R
10042 213 Sat 15 13:45 11 29 Garbage Collection in CPython
Garbage Collection in CPython
Garbage_Collection_in_CPython
Y Y R
10027 127 Sat 15 13:45 11 34 Why doesn’t anyone use my library?
Why Doesn’t Anyone Use My Library?
Why_doesnt_anyone_use_my_library
Y Y R
10043 185 Sat 15 14:30 11 30 Sharding Data for Fun & Profit
Sharding Data for Fun & Profit
Sharding_Data_for_Fun_Profit
Y Y R
10013 128 Sat 15 14:30 11 34 Introduction to the Pygame Library
Introduction to the Pygame Library
Introduction_to_the_Pygame_Library
Y Y R
10045 179 Sat 15 14:30 11 49 Scaling Graph Computations with Online Algorithms
Scaling Graph Computations With Online Algorithms
Scaling_Graph_Computations_with_Online_Algorithms
Y Y R
10062 208 Sat 15 14:30 11 61 Building Cross-Platform Native Desktop Applications with PyQt
Building Cross-Platform Native Desktop Applications With PyQt
Building_CrossPlatform_Native_Desktop_Applications_with_PyQt
Y Y R
10028 132 Sat 15 15:30 11 43 Modeling an Arithmetic Logic Unit in Python
Modeling an Arithmetic Logic Unit in Python
Modeling_an_Arithmetic_Logic_Unit_in_Python
Y Y R
10014 197 Sat 15 15:30 11 45 Using Graphs for High Quality Recommendations
Using Graphs for High Quality Recommendations
Using_Graphs_for_High_Quality_Recommendations
Y Y R
10039 191 Sat 15 15:30 11 52 The New Basic App: Complex Data Aggregation in Flask
The New Basic App: Complex Data Aggregation in Flask
The_New_Basic_App_Complex_Data_Aggregation_in_Flask
Y Y R
10058 200 Sat 15 15:30 11 53 Time to Rhyme: The CMU Pronouncing Dictionary and You
Time to Rhyme: The CMU Pronouncing Dictionary and You
Time_to_Rhyme_The_CMU_Pronouncing_Dictionary_and_You
Y Y R
10213 222 Sun 16 09:00 11 12 Python, Inc.
Python, Inc.
Python_Inc
Y Y R
10054 130 Sun 16 10:00 11 38 Using Networkx to Explore Pathfinding
Using Networkx to Explore Pathfinding
Using_Networkx_to_Explore_Pathfinding
Y Y R
10041 215 Sun 16 10:00 11 48 How reviewing code makes me a better programmer!
How Reviewing Code Makes Me a Better Programmer!
How_reviewing_code_makes_me_a_better_programmer
Y Y R
10209 123 Sun 16 10:00 11 93 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
introduction_to_open_and_collaborative_data_analysis_with_pandas_and_IPythonJupyter_Notebook
Y Y R
10021 125 Sun 16 10:00 11 75 Scraping (some of) the NYPL Catalog: a story of Requests and BeautifulSoup
Scraping (Some Of) the NYPL Catalog: A Story of Requests and BeautifulSoup
Scraping_some_of_the_NYPL_Catalog_a_story_of_Requests_and_BeautifulSoup
Y Y R
10022 153 Sun 16 10:30 11 46 Foreign Function Interfaces for Web Developers
Foreign Function Interfaces for Web Developers
Foreign_Function_Interfaces_for_Web_Developers
Y Y R
10035 183 Sun 16 10:30 0 22 Introduction to Meteor
Introduction to Meteor
Introduction_to_Meteor
N Y R
10201 219 Sun 16 11:15 11 26 One, two, buckle your shoe
One, Two, Buckle Your Shoe
12_buckle_your_shoe
Y Y R
10019 193 Sun 16 11:15 11 69 Metaclasses and Decorators in the Wild: Ingesting Data With FeedEater
Metaclasses and Decorators in the Wild: Ingesting Data With FeedEater
Metaclasses_and_Decorators_in_the_Wild_Ingesting_Data_With_FeedEater
Y Y R
10040 203 Sun 16 11:15 11 32 State of the library: matplotlib
State of the Library: Matplotlib
State_of_the_library_matplotlib
Y Y R
10026 116 Sun 16 11:15 11 72 Untangling Twisted: How We Scaled a Python Service for Online Publishers
Untangling Twisted: How We Scaled a Python Service for Online Publishers
Untangling_Twisted_How_We_Scaled_a_Python_Service_for_Online_Publishers
Y Y R
10031 139 Sun 16 11:45 0 39 Type Python, Press Enter. What Happens?
Type Python, Press Enter. What Happens?
Type_Python_Press_Enter_What_Happens
N R
10057 201 Sun 16 11:45 11 27 Introduction to pysparkling
Introduction to Pysparkling
Introduction_to_pysparkling
Y Y R
10032 135 Sun 16 11:45 11 22 Python Not Recommended
Python Not Recommended
Python_Not_Recommended
Y Y R
10044 207 Sun 16 11:45 11 62 An Iterative Approach to Inverse Problems using Python's Numpy
An Iterative Approach to Inverse Problems Using Python's Numpy
An_Iterative_Approach_to_Inverse_Problems_using_Pythons_Numpy
Y Y R
10034 170 Sun 16 13:15 11 49 What's up with th@? Adding an Operator to CPython
What's Up With Th@? Adding an Operator to CPython
Whats_up_with_th_Adding_an_Operator_to_cPython
Y Y R
10010 113 Sun 16 13:15 0 19 Good Test, Bad Test
Good Test, Bad Test
Good_Test_Bad_Test
Y R
10048 209 Sun 16 13:15 11 27 Voice programming: a how-to
Voice Programming: A How-To
Voice_programming_a_howto
Y Y R
10037 143 Sun 16 13:15 11 67 Collecting and Organizing Boiler Data From Various Online Databases
Collecting and Organizing Boiler Data From Various Online Databases
Collecting_and_Organizing_Boiler_Data_From_Various_Online_Databases
Y Y R
10023 154 Sun 16 13:45 11 53 Intro to Building Data Pipelines in Python with Luigi
Intro to Building Data Pipelines in Python With Luigi
Intro_to_Building_Data_Pipelines_in_Python_with_Luigi
Y Y R
10049 156 Sun 16 13:45 11 53 Pyxley: Easy Web Applications with Flask and React.js
Pyxley: Easy Web Applications With Flask and React.js
Pyxley_Easy_Web_Applications_with_Flask_and_Reactjs
Y Y R
10017 152 Sun 16 13:45 11 44 Using Python for Sarcasm Detection in Speech
Using Python for Sarcasm Detection in Speech
Using_Python_for_Sarcasm_Detection_in_Speech
Y Y R
10024 210 Sun 16 13:45 11 25 Improving Your Flask APIs
Improving Your Flask APIs
Improving_Your_Flask_APIs
Y Y R
10047 160 Sun 16 14:30 11 37 Dev Environments: The Next Generation
Dev Environments: The Next Generation
How_I_Learned_to_Stop_Worrying_and_Love_My_Dev_Environment
Y Y R
10063 169 Sun 16 14:30 11 49 Going parallel and larger-than-memory with graphs
Going Parallel and Larger-than-memory With Graphs
Going_parallel_and_outofcore_with_task_scheduling
Y Y R
10199 217 Sun 16 14:30 11 102 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
Think_of_the_Children_A_methodology_for_measuring_the_effectiveness_of_adaptive_learning_applications
179 Y Y R
10046 190 Sun 16 14:30 11 28 SQLAlchemy ORM for Beginners
SQLAlchemy ORM for Beginners
SQLAlchemy_ORM_for_Beginners
Y Y R
10204 175 Sun 16 15:00 11 40 What the FORTRAN is ** Doing in Python ?
What the FORTRAN Is ** Doing in Python ?
What_the_FORTRAN_is_Doing_in_Python
Y Y R
10030 159 Sun 16 15:30 11 41 Introduction to HTTPS: A Comedy of Errors
Introduction to HTTPS: A Comedy of Errors
Introduction_to_HTTPS_A_Comedy_of_Errors
Y Y R
10198 216 Sun 16 15:30 11 34 Acceptance Test Driven Development
Acceptance Test Driven Development
Acceptance_Test_Driven_Development
Y Y R
10029 158 Sun 16 15:30 11 40 Introduction to Topic Modeling in Python
Introduction to Topic Modeling in Python
Introduction_to_Topic_Modeling_in_Python
Y Y R
10053 146 Sun 16 15:30 11 47 Large scale non-linear learning on a single CPU
Large Scale Non-linear Learning on a Single CPU
Large_scale_nonlinear_learning_on_a_single_CPU
Y Y R
10012 162 Sun 16 16:00 11 30 How Do Python Coroutines Work?
How Do Python Coroutines Work?
How_Do_Python_Coroutines_Work
Y Y R
10060 177 Sun 16 16:00 0 41 Topic Analysis of NYPD Officer Complaints
Topic Analysis of NYPD Officer Complaints
Topic_Analysis_of_NYPD_Officer_Complaints
Y R
10065 171 Sun 16 16:00 11 51 The Python Datamodel: When and how to write objects
The Python Datamodel: When and How to Write Objects
The_Python_Datamodel_When_and_how_to_write_objects
Y Y R
10211 221 Sun 16 16:45 11 27 Mr. CKAN Goes to Washington
Mr. CKAN Goes to Washington
Mr_CKAN_Goes_to_Washington
Y Y R

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