DePy
Depy_2015
1. Tuning Machine Learning Parameters using scikit-learn Gridsearch (Kevin Goetsch) http://youtu.be/wOqRraHSXYw 41 min.
2. Speeding Up Python Data Analysis Using Cython (Jonathan Helmus) http://youtu.be/5CXI-i3VQpc 38 min.
3. pyDAL: a pure python Database Abstraction Layer (Giovanni Barillari) http://youtu.be/tkxExOXAeZw 39 min.
4. Python In The Enterprise (David Freedman) http://youtu.be/6T2ywrz0Lck 29 min.
5. Teaching web app development with web2py and crowdsourced grading (Luca de Alfaro) http://youtu.be/8QGCSJhNKIg 28 min.
6. Having Fun with Recommender Systems (Bamshad Mobasher) http://youtu.be/B7kwiUZhMew 22 min.
7. Python and Data Processing and Visualization (Eric Pershey) http://youtu.be/eviIKsov1es 35 min.
8. Cloudmesh Virtual Cluster Management for Data Intensive Applications (Gregor von Laszewski) http://youtu.be/PCIqLdeKqaQ 29 min.
9. PyHSPF: Data integration software for hydrologic and water quality modeling (David Lampert) http://youtu.be/OgU5LHdnle4 18 min.
10. Realtor Search: Elasticsearch and Python in Practice (Aleksandar Velkoski) http://youtu.be/emT4nHd49cc 20 min.
11. Maximum Viable Integrity with web2py (Mark Graves) http://youtu.be/iUVPYxRkVmU 25 min.
12. Eight years of web2py (Massimo Di Pierro) http://youtu.be/FaaltEB_v0s 48 min.
13. Classification using Pandas and Scikit-Learn (Skipper Seabold) http://youtu.be/7gAZoK6kGhM 45 min.
14. Getting Started with Cassandra and Python (Amber Doctor, Philip Doctor) http://youtu.be/-kzbMbFzQZw 48 min.
15. Work work money money (Tanya Schlusser) http://youtu.be/MQzvgpFyeSQ 20 min.
16. Jupyter Project: Interacting between Python and R Libraries for Data Mining (Myles Gartland) http://youtu.be/StX_F_kq_C0 19 min.
17. Bringing Research to Real Life (Safia Abdalla) http://youtu.be/UfH4H-BFcL8 12 min.
18. Learning by doing: Predicting West Nile Virus in Chicago. (Jonathan Gemmell) http://youtu.be/io5FEwNrwi0 31 min.
19. Extending versatility of Python to nonprogrammers (Mikhail Lakirovich, Armand Ruiz) http://youtu.be/Fuk2Lx5Bjq0 21 min.
20. Document Classification with Machine Learning (Jordan "Vladimir'' Myers) http://youtu.be/cKWI18qNxTc 10 min.
21. Python-Powered Machine Learning in the Cloud (Stephen Hoover) http://youtu.be/dHP7qo2xyX0 17 min.
22. The Use of Web Games to Train Data Analysts (Casey Schroeder) http://youtu.be/nwABte_7JWg 18 min.
23. Python in Computer Security - Student's Perspective (Li-Wey Lu, Ryan Haley) http://youtu.be/qoNADxPpc2U 22 min.
1. http://youtu.be/wOqRraHSXYw 41 min.
2. http://youtu.be/5CXI-i3VQpc 38 min.
3. http://youtu.be/tkxExOXAeZw 39 min.
4. http://youtu.be/6T2ywrz0Lck 29 min.
5. http://youtu.be/8QGCSJhNKIg 28 min.
6. http://youtu.be/B7kwiUZhMew 22 min.
7. http://youtu.be/eviIKsov1es 35 min.
8. http://youtu.be/PCIqLdeKqaQ 29 min.
9. http://youtu.be/OgU5LHdnle4 18 min.
10. http://youtu.be/emT4nHd49cc 20 min.
11. http://youtu.be/iUVPYxRkVmU 25 min.
12. http://youtu.be/FaaltEB_v0s 48 min.
13. http://youtu.be/7gAZoK6kGhM 45 min.
14. http://youtu.be/-kzbMbFzQZw 48 min.
15. http://youtu.be/MQzvgpFyeSQ 20 min.
16. http://youtu.be/StX_F_kq_C0 19 min.
17. http://youtu.be/UfH4H-BFcL8 12 min.
18. http://youtu.be/io5FEwNrwi0 31 min.
19. http://youtu.be/Fuk2Lx5Bjq0 21 min.
20. http://youtu.be/cKWI18qNxTc 10 min.
21. http://youtu.be/dHP7qo2xyX0 17 min.
22. http://youtu.be/nwABte_7JWg 18 min.
23. http://youtu.be/qoNADxPpc2U 22 min.
1, Tuning Machine Learning Parameters using scikit-learn Gridsearch, Tuning_Machine_Learning_Parameters_using_scikitlearn_Gridsearch.mp4, 41
2, Speeding Up Python Data Analysis Using Cython, Speeding_Up_Python_Data_Analysis_Using_Cython.mp4, 38
3, pyDAL: a pure python Database Abstraction Layer, pyDAL_a_pure_python_Database_Abstraction_Layer.mp4, 39
4, Python In The Enterprise, Python_In_The_Enterprise.mp4, 29
5, Teaching web app development with web2py and crowdsourced grading, Teaching_web_app_development_with_web2py_and_crowdsourced_grading.mp4, 28
6, Having Fun with Recommender Systems, Having_Fun_with_Recommender_Systems.mp4, 22
7, Python and Data Processing and Visualization, Python_and_Data_Processing_and_Visualization.mp4, 35
8, Cloudmesh Virtual Cluster Management for Data Intensive Applications, Cloudmesh_Virtual_Cluster_Management_for_Data_Intensive_Applications.mp4, 29
9, PyHSPF: Data integration software for hydrologic and water quality modeling, PyHSPF_Data_integration_software_for_hydrologic_and_water_quality_modeling.mp4, 18
10, Realtor Search: Elasticsearch and Python in Practice, realtor-search-elasticsearch-and-python-practice.mp4, 20
11, Maximum Viable Integrity with web2py, Maximum_Viable_Integrity_with_web2py.mp4, 25
12, Eight years of web2py, Eight_years_of_web2py.mp4, 48
13, Classification using Pandas and Scikit-Learn, Classification_using_Pandas_and_ScikitLearn.mp4, 45
14, Getting Started with Cassandra and Python, getting-started-cassandra-and-python.mp4, 48
15, Work work money money, Work_work_money_money.mp4, 20
16, Jupyter Project: Interacting between Python and R Libraries for Data Mining, Jupyter_Project.mp4, 19
17, Bringing Research to Real Life, Bringing_Research_to_Real_Life.mp4, 12
18, Learning by doing: Predicting West Nile Virus in Chicago., Learning_by_doing_Predicting_West_Nile_Virus_in_Chicago.mp4, 31
19, Extending versatility of Python to nonprogrammers, Extending_versatility_of_Python_to_nonprogrammers.mp4, 21
20, Document Classification with Machine Learning, Document_Classification_with_Machine_Learning.mp4, 10
21, Python-Powered Machine Learning in the Cloud, PythonPowered_Machine_Learning_in_the_Cloud.mp4, 17
22, The Use of Web Games to Train Data Analysts, The_Use_of_Web_Games_to_Train_Data_Analysts.mp4, 18
23, Python in Computer Security - Student's Perspective, Python_in_Computer_Security_Students_Perspective.mp4, 22