Enthought<br>
SciPy 2012<br>
 1. Introduction to NumPy and Matplotlib (Eric Jones) https://www.youtube.com/watch?v=3Fp1zn5ao2M 199 min.<br>
 2. scikit-learn (Jake Vanderplas) https://www.youtube.com/watch?v=33L_EXLtJPE 165 min.<br>
 3. Advanced Matplotlib (Ryan May) https://www.youtube.com/watch?v=AmpWIC5SctY 148 min.<br>
 4. HDF5 is for Lovers (Anthony Scopatz) http://youtube.com/watch?v=Nzx0HAd3FiI 107 min.<br>
 5. Time Series Data Analysis with pandas (Wes McKinney) https://www.youtube.com/watch?v=0unf-C-pBYE 209 min.<br>
 6. Efficient Parallel Python for High-Performance Computing (Kurt Smith) https://www.youtube.com/watch?v=AJU3EYvTNXc 203 min.<br>
 7. statsmodels (Skipper Seabold) http://youtube.com/watch?v=RWRsxhUzpxk 190 min.<br>
 8. IPython in-depth: Interactive Tools for Scientific Computing (Fernando Perez, Min Ragan-Kelley) https://www.youtube.com/watch?v=AvknbGH01FE 122 min.<br>
 9. Welcome () None 10 min.<br>
 10. matplotlib: Lessons from middle age.  Or, how you too can turn a hundred lines of patch rejection into two hundred thousand lines of code. (John Hunter) https://www.youtube.com/watch?v=e3lTby5RI54 43 min.<br>
 11. Numba Python bytecode to LLVM translator (Travis Oliphant, Jon Riehl) http://youtube.com/watch?v=WYi1cymszqY 25 min.<br>
 12. Unlock: A Python-based framework for rapid development of practical brain-computer interface applications (Byron V. Galbraith, Jonathan S. Brumberg, Sean D. Lorenz, Frank H. Guenther) http://youtube.com/watch?v=lIjdXLuuMlY 19 min.<br>
 13. Copperhead: Data Parallel Python (Bryan Catanzaro) http://youtube.com/watch?v=FpDVyAwz2qM 20 min.<br>
 14. Self-driving Lego Mindstorms Robot (Iqbal Mohomed) http://youtube.com/watch?v=8d8d_3-8ae4 26 min.<br>
 15. Mid-morning Break (None) None 20 min.<br>
 16. Solving the import problem: Scalable Dynamic Loading Network File Systems (Aron Ahmadia, Jed Brown, William Scullin) http://youtube.com/watch?v=BpuykTOy4a0 23 min.<br>
 17. PySAL: A Python Library for Exploratory Spatial Data Analysis and Geocomputation (Sergio Rey) http://youtube.com/watch?v=FN1nH4Fkd_Y 19 min.<br>
 18. Implicit Multicore Parallelism using CnC-Python (Shams Imam, Vivek Sarkar) http://youtube.com/watch?v=ZC2pm2b_Sks 21 min.<br>
 19. mystic: a simple model-independent inversion framework (Michael M. McKerns, Alta Fang, Tim Sullivan, Michael A.G. Aivazis)  23 min.<br>
 20. QNDArray: A Numpy Clone for C++/Qt (Glen W. Mabey) http://youtube.com/watch?v=PLqIRtpUHGk 20 min.<br>
 21. Julia: A Fast Dynamic Language for Technical Computing (Jeff Bezanson) http://youtube.com/watch?v=VCp1jUgVRgE 22 min.<br>
 22. OpenMG: A New Multigrid Implementation in Python (Tom Bertalan, Akand W. Islam) http://youtube.com/watch?v=R-FO_PX7a_I 20 min.<br>
 23. Lunch (None) None 92 min.<br>
 24. TBA () None 71 min.<br>
 25. Performance Python Panel Discussion (Andy Terrel, moderator) https://www.youtube.com/watch?v=7i2vhoQY-K4 45 min.<br>
 26. SciPy + MapReduce with Disco (Al Barrentine) http://youtube.com/watch?v=ofCddrXkw0U 23 min.<br>
 27. Time Series Manipulation with pandas (Wes McKinney) http://youtube.com/watch?v=bgfLrKpc4jA 17 min.<br>
 28. Bringing High Performance to Python/Numpy Without Changing a Single Line of Code. (Simon Andreas Frimann Lund, Mads Ruben Burgdorff Kristensen, Brian Vinter, Troels Blum) https://www.youtube.com/watch?v=HFxn3mSp9ww 26 min.<br>
 29. SymPy Stats - Uncertainty Modeling (Matthew Rocklin) http://youtube.com/watch?v=27su3TQ3BvQ 17 min.<br>
 30. Mid-afternoon Break (None) None 33 min.<br>
 31. Parallel High Performance Statistical Bootstrapping in Python (Aakash Prasad) https://www.youtube.com/watch?v=vxEOYn_wedQ 12 min.<br>
 32. *** CANCELLED *** Zen: Introducing a pythonic, high-performance network analysis library (Derek Ruths) None 38 min.<br>
 33. TBA (None) None 38 min.<br>
 34. Antonia (Alejandro Weinstein, Michael Wakin) http://youtube.com/watch?v=BqMD0PE-akQ 20 min.<br>
 35. ROFL: a functional Python dialect for science (Jonathan Riehl) https://www.youtube.com/watch?v=OF3CYqj4H9U 24 min.<br>
 36. Lightning Talks - Wednesday () https://www.youtube.com/watch?v=StRhIopoaSk 29 min.<br>
 37. ALGES: Geostatistics and Python (Felipe Lema) http://youtube.com/watch?v=qOPNbjx5uhM 18 min.<br>
 38. Astropy - Herding Snakes or Astronomers: which is more difficult? (Perry Greenfield, Thomas Robitaille, Erik Tollerud) http://youtube.com/watch?v=VmxthPjCFXo 15 min.<br>
 39. A Unified Release of Python &amp; IRAF software for astronomy (James E.H. Turner) https://www.youtube.com/watch?v=cgRouxz0y_4 16 min.<br>
 40. Parallel Computational Methods and Simulation for Coastal and Hydraulic Applications Using the Proteus Toolkit (Chris Kees) http://youtube.com/watch?v=c3HnqaN3W64 18 min.<br>
 41. AstroML: data mining and machine learning for Astronomy (Jake Vanderplas, Zeljko Ivezic, Andrew Connolly, Alex Gray) http://youtube.com/watch?v=62zY8mA-UVQ 16 min.<br>
 42. Building a Solver Based on PyClaw for the Solution of the Multi-Layer Shallow Water Equations (Kyle Mandli) http://youtube.com/watch?v=jv_1-NwW0i4 16 min.<br>
 43. yt: An Integrated Science Environment for Astrophysical Simulations (Matthew Turk) http://youtube.com/watch?v=uPgCuGk8mnQ 15 min.<br>
 44. Domain Specific Languages for Partial Differential Equations using Ignition (Andy Terrel) http://youtube.com/watch?v=Dpc-bGwyJmk 18 min.<br>
 45. Discussion () None 20 min.<br>
 46. Discussion () None 6 min.<br>
 47. Welcome () None 56 min.<br>
 48. Python as Super Glue for the Modern Scientific Workflow (Joshua Bloom) http://youtube.com/watch?v=mLuIB8aW2KA 44 min.<br>
 49. Interactive Visualization Widgets Using Chaco and Enable (Corran Webster) http://youtube.com/watch?v=we6sHcxbG-I 20 min.<br>
 50. IPython: tools for the entire lifecycle of research computing (Fernando Perez, Brian Granger, Min Ragan-Kelley, Thomas Kluyver, Evan Patterson) http://youtube.com/watch?v=iwVvqwLDsJo 21 min.<br>
 51. Bokeh: An Extensible Implementation of the Grammar of Graphics for Python (Peter Wang, Hugo Shi) http://youtube.com/watch?v=6_aE0kAedL0 23 min.<br>
 52. Total Recall: flmake and the Quest for Reproducibility (Anthony Scopatz) http://youtube.com/watch?v=ce4UU0ltbPA 21 min.<br>
 53. Poster Session (None) None 19 min.<br>
 54. nD image segmentation using learned region agglomeration with the Ray Python library (Juan Nunez-Iglesias) http://youtube.com/watch?v=-cQpExBrh74 20 min.<br>
 55. luban: a minimalist UI &#x27;language&#x27; (Jiao Lin) https://www.youtube.com/watch?v=hgCR8ytWHeg 21 min.<br>
 56. PythonTeX: Fast Access to Python from within LaTeX (Geoffrey M. Poore) http://youtube.com/watch?v=yIO4l0zHGjw 20 min.<br>
 57. Python&#x27;s role in VisIt (Cyrus Harrison, Harinarayan Krishnan) http://youtube.com/watch?v=0e4TTcswqLg 20 min.<br>
 58. Lunch (None) None 76 min.<br>
 59. Forking your way to success and happiness: how GitHub style collaboration is ushering in a new era of amateur led innovation. (Tim Clem)  33 min.<br>
 60. Param: Declarative programming using Parameters (James A. Bednar, Christopher E. Ball) http://youtube.com/watch?v=7_ELWwzFCi0 20 min.<br>
 61. Enaml - A Framework for Building Declarative User Interfaces (S. Chris Colbert) http://youtube.com/watch?v=ycFEwz_hAxk 20 min.<br>
 62. Blaine (Stephen McQuay, William Blattman) http://youtube.com/watch?v=ncjybHxXRWg 20 min.<br>
 63. Object Oriented Finite Elements at NIST (Andrew Reid) http://youtube.com/watch?v=mSCo09arkY0 18 min.<br>
 64. Mid-afternoon Break (None) None 75 min.<br>
 65. QuTiP: An open-source Python framework for the dynamics of open quantum systems (Paul Nation, Robert Johansson) https://www.youtube.com/watch?v=KxDFDYn-6Lc 18 min.<br>
 66. Fcm - A python library for flow cytometry (Jacob Frelinger) https://www.youtube.com/watch?v=SXdIiLPQLAo 20 min.<br>
 67. nmrglue: a Python Module for Working with NMR Data. (Jonathan J. Helmus) https://www.youtube.com/watch?v=pTxJFvLhHhI 20 min.<br>
 68. TuLiP: a toolbox for hybrid and reactive systems research (Scott C. Livingston, Richard M. Murray) http://youtube.com/watch?v=AprLua-TIXs 24 min.<br>
 69. Lightning Talks - Thursday () https://www.youtube.com/watch?v=fmKUgn6hk4M 40 min.<br>
 70. Utilizing Python in a Real-Time, Quasi-Operational Meteorological Environment (Patrick Marsh) https://www.youtube.com/watch?v=7-rey41z2us 19 min.<br>
 71. Python @ Life (Daniel Williams) https://www.youtube.com/watch?v=6yQJpLPEOJw 14 min.<br>
 72. How Sequencing Saved Python (Chris Mueller) https://www.youtube.com/watch?v=IfsCFdLIUhI 28 min.<br>
 73. Py-ART: Python for remote sensing science (Scott Collis) http://youtube.com/watch?v=oFrLBpYXmAY 17 min.<br>
 74. Domain Analysis of Mosaic Proteins in Purple Sea Urchin (Adam Hughes) https://www.youtube.com/watch?v=l4x23L-mSfk 15 min.<br>
 75. Can Python&#x27;s web and science communities run concurrently? (Eric Bruning) http://youtube.com/watch?v=ZmzMhb2IYWM 20 min.<br>
 76. Running a Coupled General Circulation Model with Python (Luiz Irber) https://www.youtube.com/watch?v=zACPGvI_QjE 23 min.<br>
 77. Discussion () None 28 min.<br>
 78. Discussion () None 29 min.<br>
 79. Discussion () None 24 min.<br>

<hr>
  1. https://www.youtube.com/watch?v=3Fp1zn5ao2M 199 min.<br>
  2. https://www.youtube.com/watch?v=33L_EXLtJPE 165 min.<br>
  3. https://www.youtube.com/watch?v=AmpWIC5SctY 148 min.<br>
  4. http://youtube.com/watch?v=Nzx0HAd3FiI 107 min.<br>
  5. https://www.youtube.com/watch?v=0unf-C-pBYE 209 min.<br>
  6. https://www.youtube.com/watch?v=AJU3EYvTNXc 203 min.<br>
  7. http://youtube.com/watch?v=RWRsxhUzpxk 190 min.<br>
  8. https://www.youtube.com/watch?v=AvknbGH01FE 122 min.<br>
  9. None 10 min.<br>
  10. https://www.youtube.com/watch?v=e3lTby5RI54 43 min.<br>
  11. http://youtube.com/watch?v=WYi1cymszqY 25 min.<br>
  12. http://youtube.com/watch?v=lIjdXLuuMlY 19 min.<br>
  13. http://youtube.com/watch?v=FpDVyAwz2qM 20 min.<br>
  14. http://youtube.com/watch?v=8d8d_3-8ae4 26 min.<br>
  15. None 20 min.<br>
  16. http://youtube.com/watch?v=BpuykTOy4a0 23 min.<br>
  17. http://youtube.com/watch?v=FN1nH4Fkd_Y 19 min.<br>
  18. http://youtube.com/watch?v=ZC2pm2b_Sks 21 min.<br>
  19.  23 min.<br>
  20. http://youtube.com/watch?v=PLqIRtpUHGk 20 min.<br>
  21. http://youtube.com/watch?v=VCp1jUgVRgE 22 min.<br>
  22. http://youtube.com/watch?v=R-FO_PX7a_I 20 min.<br>
  23. None 92 min.<br>
  24. None 71 min.<br>
  25. https://www.youtube.com/watch?v=7i2vhoQY-K4 45 min.<br>
  26. http://youtube.com/watch?v=ofCddrXkw0U 23 min.<br>
  27. http://youtube.com/watch?v=bgfLrKpc4jA 17 min.<br>
  28. https://www.youtube.com/watch?v=HFxn3mSp9ww 26 min.<br>
  29. http://youtube.com/watch?v=27su3TQ3BvQ 17 min.<br>
  30. None 33 min.<br>
  31. https://www.youtube.com/watch?v=vxEOYn_wedQ 12 min.<br>
  32. None 38 min.<br>
  33. None 38 min.<br>
  34. http://youtube.com/watch?v=BqMD0PE-akQ 20 min.<br>
  35. https://www.youtube.com/watch?v=OF3CYqj4H9U 24 min.<br>
  36. https://www.youtube.com/watch?v=StRhIopoaSk 29 min.<br>
  37. http://youtube.com/watch?v=qOPNbjx5uhM 18 min.<br>
  38. http://youtube.com/watch?v=VmxthPjCFXo 15 min.<br>
  39. https://www.youtube.com/watch?v=cgRouxz0y_4 16 min.<br>
  40. http://youtube.com/watch?v=c3HnqaN3W64 18 min.<br>
  41. http://youtube.com/watch?v=62zY8mA-UVQ 16 min.<br>
  42. http://youtube.com/watch?v=jv_1-NwW0i4 16 min.<br>
  43. http://youtube.com/watch?v=uPgCuGk8mnQ 15 min.<br>
  44. http://youtube.com/watch?v=Dpc-bGwyJmk 18 min.<br>
  45. None 20 min.<br>
  46. None 6 min.<br>
  47. None 56 min.<br>
  48. http://youtube.com/watch?v=mLuIB8aW2KA 44 min.<br>
  49. http://youtube.com/watch?v=we6sHcxbG-I 20 min.<br>
  50. http://youtube.com/watch?v=iwVvqwLDsJo 21 min.<br>
  51. http://youtube.com/watch?v=6_aE0kAedL0 23 min.<br>
  52. http://youtube.com/watch?v=ce4UU0ltbPA 21 min.<br>
  53. None 19 min.<br>
  54. http://youtube.com/watch?v=-cQpExBrh74 20 min.<br>
  55. https://www.youtube.com/watch?v=hgCR8ytWHeg 21 min.<br>
  56. http://youtube.com/watch?v=yIO4l0zHGjw 20 min.<br>
  57. http://youtube.com/watch?v=0e4TTcswqLg 20 min.<br>
  58. None 76 min.<br>
  59.  33 min.<br>
  60. http://youtube.com/watch?v=7_ELWwzFCi0 20 min.<br>
  61. http://youtube.com/watch?v=ycFEwz_hAxk 20 min.<br>
  62. http://youtube.com/watch?v=ncjybHxXRWg 20 min.<br>
  63. http://youtube.com/watch?v=mSCo09arkY0 18 min.<br>
  64. None 75 min.<br>
  65. https://www.youtube.com/watch?v=KxDFDYn-6Lc 18 min.<br>
  66. https://www.youtube.com/watch?v=SXdIiLPQLAo 20 min.<br>
  67. https://www.youtube.com/watch?v=pTxJFvLhHhI 20 min.<br>
  68. http://youtube.com/watch?v=AprLua-TIXs 24 min.<br>
  69. https://www.youtube.com/watch?v=fmKUgn6hk4M 40 min.<br>
  70. https://www.youtube.com/watch?v=7-rey41z2us 19 min.<br>
  71. https://www.youtube.com/watch?v=6yQJpLPEOJw 14 min.<br>
  72. https://www.youtube.com/watch?v=IfsCFdLIUhI 28 min.<br>
  73. http://youtube.com/watch?v=oFrLBpYXmAY 17 min.<br>
  74. https://www.youtube.com/watch?v=l4x23L-mSfk 15 min.<br>
  75. http://youtube.com/watch?v=ZmzMhb2IYWM 20 min.<br>
  76. https://www.youtube.com/watch?v=zACPGvI_QjE 23 min.<br>
  77. None 28 min.<br>
  78. None 29 min.<br>
  79. None 24 min.<br>




<hr>
 1, Introduction to NumPy and Matplotlib, Introduction_to_NumPy_and_Matplotlib.mp4, 199<br>
 2, scikit-learn, scikitlearn.mp4, 165<br>
 3, Advanced Matplotlib, Advanced_Matplotlib.mp4, 148<br>
 4, HDF5 is for Lovers, HDF5_is_for_lovers.mp4, 107<br>
 5, Time Series Data Analysis with pandas, Time_Series_Data_Analysis_with_pandas.mp4, 209<br>
 6, Efficient Parallel Python for High-Performance Computing, Efficient_Parallel_Python_for_HighPerformance_Computing.mp4, 203<br>
 7, statsmodels, statsmodels.mp4, 190<br>
 8, IPython in-depth: Interactive Tools for Scientific Computing, IPython_indepth_Interactive_Tools_for_Scientific_Computing.mp4, 122<br>
 9, Welcome, Welcome.mp4, 10<br>
 10, matplotlib: Lessons from middle age.  Or, how you too can turn a hundred lines of patch rejection into two hundred thousand lines of code., matplotlib_lessons_middle_age.mp4, 43<br>
 11, Numba Python bytecode to LLVM translator, Numba_Python_bytecode_to_LLVM_translator.mp4, 25<br>
 12, Unlock: A Python-based framework for rapid development of practical brain-computer interface applications, Unlock_A_Pythonbased_framework_for_rapid_development_of_practical_braincomputer_interface_applications.mp4, 19<br>
 13, Copperhead: Data Parallel Python, Copperhead_Data_Parallel_Python.mp4, 20<br>
 14, Self-driving Lego Mindstorms Robot, Selfdriving_Lego_Mindstorms_Robot.mp4, 26<br>
 15, Mid-morning Break, Midmorning_Break.mp4, 20<br>
 16, Solving the import problem: Scalable Dynamic Loading Network File Systems, Solving_the_import_problem_Scalable_Dynamic_Loading_Network_File_Systems.mp4, 23<br>
 17, PySAL: A Python Library for Exploratory Spatial Data Analysis and Geocomputation, PySAL_A_Python_Library_for_Exploratory_Spatial_Data_Analysis_and_Geocomputation.mp4, 19<br>
 18, Implicit Multicore Parallelism using CnC-Python, Implicit_Multicore_Parallelism_using_CnCPython.mp4, 21<br>
 19, mystic: a simple model-independent inversion framework, mystic_a_simple_modelindependent_inversion_framework.mp4, 23<br>
 20, QNDArray: A Numpy Clone for C++/Qt, QNDArray_A_Numpy_Clone_for_CQt.mp4, 20<br>
 21, Julia: A Fast Dynamic Language for Technical Computing, Julia_A_Fast_Dynamic_Language_for_Technical_Computing.mp4, 22<br>
 22, OpenMG: A New Multigrid Implementation in Python, OpenMG_A_New_Multigrid_Implementation_in_Python.mp4, 20<br>
 23, Lunch, Lunch.mp4, 92<br>
 24, TBA, Performance_panel.mp4, 71<br>
 25, Performance Python Panel Discussion, Performance_Python_Panel_Discussion.mp4, 45<br>
 26, SciPy + MapReduce with Disco, SciPy_MapReduce_with_Disco.mp4, 23<br>
 27, Time Series Manipulation with pandas, Time_Series_Manipulation_with_pandas.mp4, 17<br>
 28, Bringing High Performance to Python/Numpy Without Changing a Single Line of Code., Bringing_High_Performance_to_PythonNumpy_Without_Changing_a_Single_Line_of_Code.mp4, 26<br>
 29, SymPy Stats - Uncertainty Modeling, SymPy_Stats_Uncertainty_Modeling.mp4, 17<br>
 30, Mid-afternoon Break, Midafternoon_Break.mp4, 33<br>
 31, Parallel High Performance Statistical Bootstrapping in Python, Parallel_High_Performance_Statistical_Bootstrapping_in_Python.mp4, 12<br>
 32, *** CANCELLED *** Zen: Introducing a pythonic, high-performance network analysis library, Zen_Introducing_a_pythonic_highperformance_network_analysis_library.mp4, 38<br>
 33, TBA, TBA.mp4, 38<br>
 34, Antonia, A_tale_of_four_libraries.mp4, 20<br>
 35, ROFL: a functional Python dialect for science, ROFL_a_functional_Python_dialect_for_science.mp4, 24<br>
 36, Lightning Talks - Wednesday, Lightning_Talks_wed.mp4, 29<br>
 37, ALGES: Geostatistics and Python, ALGES_Geostatistics_and_Python.mp4, 18<br>
 38, Astropy - Herding Snakes or Astronomers: which is more difficult?, Astropy_Herding_Snakes_or_Astronomers_which_is_more_difficult.mp4, 15<br>
 39, A Unified Release of Python &amp; IRAF software for astronomy, A_Unified_Release_of_Python_IRAF_software_for_astronomy.mp4, 16<br>
 40, Parallel Computational Methods and Simulation for Coastal and Hydraulic Applications Using the Proteus Toolkit, Parallel_Computational_Methods_and_Simulation_for_Coastal_and_Hydraulic_Applications_Using_the_Proteus_Toolkit.mp4, 18<br>
 41, AstroML: data mining and machine learning for Astronomy, AstroML_data_mining_and_machine_learning_for_Astronomy.mp4, 16<br>
 42, Building a Solver Based on PyClaw for the Solution of the Multi-Layer Shallow Water Equations, Building_a_Solver_Based_on_PyClaw_for_the_Solution_of_the_MultiLayer_Shallow_Water_Equations.mp4, 16<br>
 43, yt: An Integrated Science Environment for Astrophysical Simulations, yt_An_Integrated_Science_Environment_for_Astrophysical_Simulations.mp4, 15<br>
 44, Domain Specific Languages for Partial Differential Equations using Ignition, Domain_Specific_Languages_for_Partial_Differential_Equations_using_Ignition.mp4, 18<br>
 45, Discussion, Discussion.mp4, 20<br>
 46, Discussion, Discussion.mp4, 6<br>
 47, Welcome, Welcome.mp4, 56<br>
 48, Python as Super Glue for the Modern Scientific Workflow, Keynote.mp4, 44<br>
 49, Interactive Visualization Widgets Using Chaco and Enable, Interactive_Visualization_Widgets_Using_Chaco_and_Enable.mp4, 20<br>
 50, IPython: tools for the entire lifecycle of research computing, IPython_tools_for_the_entire_lifecycle_of_research_computing.mp4, 21<br>
 51, Bokeh: An Extensible Implementation of the Grammar of Graphics for Python, Bokeh_An_Extensible_Implementation_of_the_Grammar_of_Graphics_for_Python.mp4, 23<br>
 52, Total Recall: flmake and the Quest for Reproducibility, Total_Recall_flmake_and_the_Quest_for_Reproducibility.mp4, 21<br>
 53, Poster Session, Poster_Session.mp4, 19<br>
 54, nD image segmentation using learned region agglomeration with the Ray Python library, nD_image_segmentation_using_learned_region_agglomeration_with_the_Ray_Python_library.mp4, 20<br>
 55, luban: a minimalist UI &#x27;language&#x27;, luban_a_minimalist_UI_language.mp4, 21<br>
 56, PythonTeX: Fast Access to Python from within LaTeX, PythonTeX_Fast_Access_to_Python_from_within_LaTeX.mp4, 20<br>
 57, Python&#x27;s role in VisIt, Pythonu2019s_role_in_VisIt.mp4, 20<br>
 58, Lunch, Lunch.mp4, 76<br>
 59, Forking your way to success and happiness: how GitHub style collaboration is ushering in a new era of amateur led innovation., Invited_Talk.mp4, 33<br>
 60, Param: Declarative programming using Parameters, Param_Declarative_programming_using_Parameters.mp4, 20<br>
 61, Enaml - A Framework for Building Declarative User Interfaces, Enaml_A_Framework_for_Building_Declarative_User_Interfaces.mp4, 20<br>
 62, Blaine, Surface_Subdivision_Schemes_for_Python.mp4, 20<br>
 63, Object Oriented Finite Elements at NIST, Object_Oriented_Finite_Elements_at_NIST.mp4, 18<br>
 64, Mid-afternoon Break, Midafternoon_Break.mp4, 75<br>
 65, QuTiP: An open-source Python framework for the dynamics of open quantum systems, QuTiP_An_opensource_Python_framework_for_the_dynamics_of_open_quantum_systems.mp4, 18<br>
 66, Fcm - A python library for flow cytometry, Fcm_A_python_library_for_flow_cytometry.mp4, 20<br>
 67, nmrglue: a Python Module for Working with NMR Data., nmrglue_a_Python_Module_for_Working_with_NMR_Data.mp4, 20<br>
 68, TuLiP: a toolbox for hybrid and reactive systems research, TuLiP_a_toolbox_for_hybrid_and_reactive_systems_research.mp4, 24<br>
 69, Lightning Talks - Thursday, Lightning_Talks_thurs.mp4, 40<br>
 70, Utilizing Python in a Real-Time, Quasi-Operational Meteorological Environment, Utilizing_Python_in_a_RealTime_QuasiOperational_Meteorological_Environment.mp4, 19<br>
 71, Python @ Life, Python_Life.mp4, 14<br>
 72, How Sequencing Saved Python, How_Sequencing_Saved_Python.mp4, 28<br>
 73, Py-ART: Python for remote sensing science, PyART_Python_for_remote_sensing_science.mp4, 17<br>
 74, Domain Analysis of Mosaic Proteins in Purple Sea Urchin, Domain_Analysis_of_Mosaic_Proteins_in_Purple_Sea_Urchin.mp4, 15<br>
 75, Can Python&#x27;s web and science communities run concurrently?, Can_Pythons_web_and_science_communities_run_concurrently.mp4, 20<br>
 76, Running a Coupled General Circulation Model with Python, Running_a_Coupled_General_Circulation_Model_with_Python.mp4, 23<br>
 77, Discussion, Discussion.mp4, 28<br>
 78, Discussion, Discussion.mp4, 29<br>
 79, Discussion, Discussion.mp4, 24<br>