diff -r 4e50c25edb04 -r 4be31211634a project/templates/talk/conf_schedule.html --- a/project/templates/talk/conf_schedule.html Wed Nov 30 13:25:05 2011 +0530 +++ b/project/templates/talk/conf_schedule.html Wed Nov 30 15:39:35 2011 +0530 @@ -24,11 +24,12 @@ 13:55-14:15Bala Subrahmanyam VaranasiSentiment Analysis 14:15-14:45Vishal KanaujiaExploiting the power of multicore for scientific computing in Python 14:45-14:55Lightning Talks -14:55-15:25Tea -14:25-15:55Jayneil DalalBuilding Embedded Systems for Image Processing using Python -15:55-16:25Kunal PuriSmoothed Particle Hydrodynamics with Python -16:25-16:45Nivedita DattaEncryptedly yours : Python & Cryptography -16:45-17:30GaelMachine learning as a tool for Neuroscience +14:55-15:25Tea Break +15:25-16:10Prabhu RamachandranInvited Talk +16:10-16:40Jayneil DalalBuilding Embedded Systems for Image Processing using Python +16:40-17:10Kunal PuriSmoothed Particle Hydrodynamics with Python +17:10-17:30Nivedita DattaEncryptedly yours : Python & Cryptography + @@ -44,22 +45,20 @@ TimeSpeakerTitle -09:00-09:45Prabhu RamachandranInvited -09:45-10:05Mahendra NaikLarge amounts of data downloading and processing in python with facebook data as reference -10:05-10:15Lightning Talks +09:00-09:45GaelInvited Speaker: Machine learning as a tool for Neuroscience +09:45-10:15Kannan MoudgalyaInvited 10:15-10:45Tea 10:45-11:05Hrishikesh DeshpandeHigher Order Statistics in Python 11:05-11:25Shubham ChakrabortyCombination of Python and Phoenix-M as a low cost substitute for PLC 11:25-12:10EmmanuelleInvited 12:10-13:10Lunch -13:10-13:55AsokanInvited -13:55-14:15Jaidev DeshpandeA Python Toolbox for the Hilbert-Huang Transform -14:15-14:45Chetan GiridharDiving in to Byte-code optimization in Python -14:45-14:55Lightning Talks -14:55-15:25Tea -15:25-16:05Ole NielsenInvited -16:05-16:35Kunal puriGPU Accelerated Computational Fluid Dynamics with Python -16:35-16:45Sachin ShindeReverse Engineering and python +13:10-13:30Mahendra NaikLarge amounts of data downloading and processing in python with facebook data as reference +13:30-14:10Ole NielsenInvited +14:10-14:30Jaidev DeshpandeA Python Toolbox for the Hilbert-Huang Transform +14:30-15:00Chetan GiridharDiving in to Byte-code optimization in Python +15:00-15:30Tea +15:305-16:00Kunal puriGPU Accelerated Computational Fluid Dynamics with Python +16:00-16:10Sachin ShindeReverse Engineering and python 16:10-16:40Jarrod MillmanInvited @@ -381,7 +380,7 @@ computational challenges that are well-known in large data analytics. The scipy stack, including Cython and scikit-learn, used with care, can provide a high-performance environment, matching dedicated solutions. I -will highlight how the *scikit-learn* performs efficient data analysis in +will highlight how the scikit-learn performs efficient data analysis in Python.