Big Apple Py
PyGotham_2015
1. Contributors, Colleagues, Clients & Customers: Sustaining Open Source Communities (Keynote) (Nick Coghlan) http://youtu.be/LM4oNXTSpfE 41 min.
2. Teaching Python in Middle School (Meg Winston Ray ) http://youtu.be/jKf_YoL7aPU 45 min.
3. PyLLVM: A compiler from Python to LLVM-IR (Anna Herlihy) http://youtu.be/_HdfEqSqI2M 23 min.
4. Docker containers in the cloud: Provider Deathmatch (Jeff Uthaichai) http://youtu.be/yT2H-H39284 26 min.
5. The Yosai Project: Security Management for Any Application (Darin Gordon) http://youtu.be/qZdQER3jF14 18 min.
6. Hack the Derivative (Erik Taubeneck) http://youtu.be/mxsKP8GhoHw 20 min.
7. Development with Vim and Python (Jerry Meeker) http://youtu.be/EBXuDDAqHHU 25 min.
8. Connecting color and language (Dean Hillan) http://youtu.be/oOnXNR0bAz8 22 min.
9. Name Things Once (Jack Diederich) http://youtu.be/1__lNTlj1_w 15 min.
10. A Tour of the Asynchronous Web (Peter Herndon) http://youtu.be/I96Sk8nNudE 28 min.
11. Building a Real-Time Analytics Service with InfluxDB (Jeremiah Malina) http://youtu.be/0cb_I-4tNuw 56 min.
12. Building tools for Social good (Eric Schles) http://youtu.be/APC5HvHZaf0 50 min.
13. Writing Winforms and WPF applications in Python (Maksim Kozyarchuk) http://youtu.be/0xfLo7PpKPc 26 min.
14. Generic Programming for Agent-Based Modeling (Gene Callahan) http://youtu.be/wmsANLFZQqE 24 min.
15. Python As A Language (James Powell) None 25 min.
16. Building a data processing pipeline in Python (Joe Cabrera) http://youtu.be/AlkuzBbiKk0 24 min.
17. Hacking with python for dummies. (Ms-067 implementation) (Yam Peleg) http://youtu.be/xoeP-Rn-Fhg 44 min.
18. What Can I Do With "Deep Learning"? (Kyle Kastner) http://youtu.be/POCQBk1oBzI 29 min.
19. Terminal Whispering (Thomas Ballinger) http://youtu.be/rSnMoClPH2E 50 min.
20. Hooked on Webhooks (Justin Woo) None 46 min.
21. The Graph To My Hearduino (Paul Logston) None 25 min.
22. Garbage Collection in CPython (Andrée Monette) http://youtu.be/P-8Z0-MhdQs 28 min.
23. Why doesn’t anyone use my library? (James Robert) http://youtu.be/l4NLunN0rhQ 23 min.
24. Sharding Data for Fun & Profit (Wes Chow) http://youtu.be/dl0JusHHIIQ 44 min.
25. Introduction to the Pygame Library (Piper Thunstrom) http://youtu.be/7zsrnk1tU0k 27 min.
26. Scaling Graph Computations with Online Algorithms (Andrew Kelleher) http://youtu.be/ddpRjHHPQrE 47 min.
27. Building Cross-Platform Native Desktop Applications with PyQt (Adrian Heilbut) http://youtu.be/mVN4XpBI_IY 42 min.
28. Modeling an Arithmetic Logic Unit in Python (Joseph Mosby) http://youtu.be/wPkNiXB4VpA 47 min.
29. Using Graphs for High Quality Recommendations (amit bhattacharyya) http://youtu.be/A3p0wcq-Tag 57 min.
30. The New Basic App: Complex Data Aggregation in Flask (Jarret Petrillo) http://youtu.be/gXdgMnDPxuo 51 min.
31. Time to Rhyme: The CMU Pronouncing Dictionary and You (Allison Parrish) http://youtu.be/W0pdPNh86H0 58 min.
32. Python, Inc. (Jessica McKellar) http://youtu.be/fhv-4QLGsso 27 min.
33. Using Networkx to Explore Pathfinding (MaxBezahler) http://youtu.be/lgDCp5hJiFY 18 min.
34. How reviewing code makes me a better programmer! (Amy Hanlon) http://youtu.be/MfKQGNUHaqs 24 min.
35. introduction to open and collaborative data analysis with pandas and IPython/Jupyter Notebook (Melissa Lewis) http://youtu.be/0yOhWKs-sAE 37 min.
36. Scraping (some of) the NYPL Catalog: a story of Requests and BeautifulSoup (Susan Steinman) http://youtu.be/Tn3YUoRKmdg 32 min.
37. Foreign Function Interfaces for Web Developers (Tristan Fisher) http://youtu.be/Dpdl76rn7P8 22 min.
38. Introduction to Meteor (Christie Ewen) http://youtu.be/p2onfRFwqtc 26 min.
39. One, two, buckle your shoe (Kat Chuang) http://youtu.be/9KWmoc285rg 19 min.
40. Metaclasses and Decorators in the Wild: Ingesting Data With FeedEater (Silas Ray) http://youtu.be/CqkB9kjBgzo 19 min.
41. State of the library: matplotlib (Thomas A Caswell) http://youtu.be/NYashPgYXB8 24 min.
42. Untangling Twisted: How We Scaled a Python Service for Online Publishers (Brian Muller) http://youtu.be/yrSQyvrubaI 53 min.
43. Type Python, Press Enter. What Happens? (Philip James) 29 min.
44. Introduction to pysparkling (Sven Kreiss) http://youtu.be/KWxu5xuRtwo 21 min.
45. Python Not Recommended (Adam Forsyth) http://youtu.be/q74pI8hb_1U 23 min.
46. An Iterative Approach to Inverse Problems using Python's Numpy (Katya Vasilaky) http://youtu.be/Mhk-71Xy9Qk 29 min.
47. What's up with th@? Adding an Operator to CPython (John Hergenroeder) http://youtu.be/dQF1hBuQYZE 22 min.
48. Good Test, Bad Test (Dan Crosta) None 27 min.
49. Voice programming: a how-to (Evan Fredericksen) http://youtu.be/mKUkp6CiNtU 20 min.
50. Collecting and Organizing Boiler Data From Various Online Databases (Steve Slotterback) http://youtu.be/SDKLLQwK7vA 27 min.
51. Intro to Building Data Pipelines in Python with Luigi (Adrian Cruz) http://youtu.be/ymF2R_tY1f8 23 min.
52. Pyxley: Easy Web Applications with Flask and React.js (Nick Kridler) http://youtu.be/WG2HZeG6zxE 20 min.
53. Using Python for Sarcasm Detection in Speech (Rachel Rakov) http://youtu.be/xJlTDy61L8s 23 min.
54. Improving Your Flask APIs (Thomas Peterson) http://youtu.be/9KmF9yBzDx8 20 min.
55. Dev Environments: The Next Generation (Travis Thieman) http://youtu.be/pYLOuuR7HI0 55 min.
56. Going parallel and larger-than-memory with graphs (Blake Griffith) http://youtu.be/yDlCNjtZvLw 42 min.
57. Think of the Children: A methodology for measuring the effectiveness of adaptive learning applications (Hillary Green-Lerman) http://youtu.be/xDd0TrcCYiA 20 min.
58. SQLAlchemy ORM for Beginners (Jason Myers) http://youtu.be/51RpDZKShiw 51 min.
59. What the FORTRAN is ** Doing in Python ? (en zyme) http://youtu.be/SD74lIvddcQ 23 min.
60. Introduction to HTTPS: A Comedy of Errors (Ashwini Oruganti) http://youtu.be/XsLFLzx4Nq4 22 min.
61. Acceptance Test Driven Development (Jessica Ingrassellino) http://youtu.be/xVdkqwW9qbs 56 min.
62. Introduction to Topic Modeling in Python (Christine Doig) http://youtu.be/kzmf6mOCm5M 49 min.
63. Large scale non-linear learning on a single CPU (Andreas Mueller) http://youtu.be/l43VIw5xhTg 25 min.
64. How Do Python Coroutines Work? (A. Jesse Jiryu Davis) http://youtu.be/idLtMISlgy8 32 min.
65. Topic Analysis of NYPD Officer Complaints (Evan Misshula) None 23 min.
66. The Python Datamodel: When and how to write objects (Aaron Hall) http://youtu.be/iGfggZqXmB0 23 min.
67. Mr. CKAN Goes to Washington (Marianne Bellotti) http://youtu.be/pDap8df_O4U 28 min.
1. http://youtu.be/LM4oNXTSpfE 41 min.
2. http://youtu.be/jKf_YoL7aPU 45 min.
3. http://youtu.be/_HdfEqSqI2M 23 min.
4. http://youtu.be/yT2H-H39284 26 min.
5. http://youtu.be/qZdQER3jF14 18 min.
6. http://youtu.be/mxsKP8GhoHw 20 min.
7. http://youtu.be/EBXuDDAqHHU 25 min.
8. http://youtu.be/oOnXNR0bAz8 22 min.
9. http://youtu.be/1__lNTlj1_w 15 min.
10. http://youtu.be/I96Sk8nNudE 28 min.
11. http://youtu.be/0cb_I-4tNuw 56 min.
12. http://youtu.be/APC5HvHZaf0 50 min.
13. http://youtu.be/0xfLo7PpKPc 26 min.
14. http://youtu.be/wmsANLFZQqE 24 min.
15. None 25 min.
16. http://youtu.be/AlkuzBbiKk0 24 min.
17. http://youtu.be/xoeP-Rn-Fhg 44 min.
18. http://youtu.be/POCQBk1oBzI 29 min.
19. http://youtu.be/rSnMoClPH2E 50 min.
20. None 46 min.
21. None 25 min.
22. http://youtu.be/P-8Z0-MhdQs 28 min.
23. http://youtu.be/l4NLunN0rhQ 23 min.
24. http://youtu.be/dl0JusHHIIQ 44 min.
25. http://youtu.be/7zsrnk1tU0k 27 min.
26. http://youtu.be/ddpRjHHPQrE 47 min.
27. http://youtu.be/mVN4XpBI_IY 42 min.
28. http://youtu.be/wPkNiXB4VpA 47 min.
29. http://youtu.be/A3p0wcq-Tag 57 min.
30. http://youtu.be/gXdgMnDPxuo 51 min.
31. http://youtu.be/W0pdPNh86H0 58 min.
32. http://youtu.be/fhv-4QLGsso 27 min.
33. http://youtu.be/lgDCp5hJiFY 18 min.
34. http://youtu.be/MfKQGNUHaqs 24 min.
35. http://youtu.be/0yOhWKs-sAE 37 min.
36. http://youtu.be/Tn3YUoRKmdg 32 min.
37. http://youtu.be/Dpdl76rn7P8 22 min.
38. http://youtu.be/p2onfRFwqtc 26 min.
39. http://youtu.be/9KWmoc285rg 19 min.
40. http://youtu.be/CqkB9kjBgzo 19 min.
41. http://youtu.be/NYashPgYXB8 24 min.
42. http://youtu.be/yrSQyvrubaI 53 min.
43. 29 min.
44. http://youtu.be/KWxu5xuRtwo 21 min.
45. http://youtu.be/q74pI8hb_1U 23 min.
46. http://youtu.be/Mhk-71Xy9Qk 29 min.
47. http://youtu.be/dQF1hBuQYZE 22 min.
48. None 27 min.
49. http://youtu.be/mKUkp6CiNtU 20 min.
50. http://youtu.be/SDKLLQwK7vA 27 min.
51. http://youtu.be/ymF2R_tY1f8 23 min.
52. http://youtu.be/WG2HZeG6zxE 20 min.
53. http://youtu.be/xJlTDy61L8s 23 min.
54. http://youtu.be/9KmF9yBzDx8 20 min.
55. http://youtu.be/pYLOuuR7HI0 55 min.
56. http://youtu.be/yDlCNjtZvLw 42 min.
57. http://youtu.be/xDd0TrcCYiA 20 min.
58. http://youtu.be/51RpDZKShiw 51 min.
59. http://youtu.be/SD74lIvddcQ 23 min.
60. http://youtu.be/XsLFLzx4Nq4 22 min.
61. http://youtu.be/xVdkqwW9qbs 56 min.
62. http://youtu.be/kzmf6mOCm5M 49 min.
63. http://youtu.be/l43VIw5xhTg 25 min.
64. http://youtu.be/idLtMISlgy8 32 min.
65. None 23 min.
66. http://youtu.be/iGfggZqXmB0 23 min.
67. http://youtu.be/pDap8df_O4U 28 min.
1, Contributors, Colleagues, Clients & Customers: Sustaining Open Source Communities (Keynote), Contributors_Colleagues_Clients_Customers_Sustaining_Open_Source_Communities_Keynote.mp4, 41
2, Teaching Python in Middle School, Teaching_Python_in_Middle_School.mp4, 45
3, PyLLVM: A compiler from Python to LLVM-IR, PyLLVM_A_compiler_from_Python_to_LLVMIR.mp4, 23
4, Docker containers in the cloud: Provider Deathmatch, Docker_containers_in_the_cloud_Provider_Deathmatch.mp4, 26
5, The Yosai Project: Security Management for Any Application, The_Yosai_security_management_framework.mp4, 18
6, Hack the Derivative, Hack_the_Derivative.mp4, 20
7, Development with Vim and Python, Development_with_Vim_and_Python.mp4, 25
8, Connecting color and language, Connecting_color_and_language.mp4, 22
9, Name Things Once, Name_Things_Once_2.mp4, 15
10, A Tour of the Asynchronous Web, Macaroons_Microservice_Authorization_Techniques.mp4, 28
11, Building a Real-Time Analytics Service with InfluxDB, Building_a_RealTime_Analytics_Service_with_InfluxDB.mp4, 56
12, Building tools for Social good, Building_tools_for_Social_good.mp4, 50
13, Writing Winforms and WPF applications in Python, Writing_Winforms_Applications_in_Python.mp4, 26
14, Generic Programming for Agent-Based Modeling, Generic_Programming_for_AgentBased_Modeling.mp4, 24
15, Python As A Language, Python_As_A_Language.mp4, 25
16, Building a data processing pipeline in Python, Building_a_data_processing_pipeline_in_Python.mp4, 24
17, Hacking with python for dummies. (Ms-067 implementation), Hacking_with_python_for_dummies.mp4, 44
18, What Can I Do With "Deep Learning"?, What_Can_I_Do_With_Deep_Learning.mp4, 29
19, Terminal Whispering, Terminal_Whispering.mp4, 50
20, Hooked on Webhooks, Hooked_on_Webhooks.mp4, 46
21, The Graph To My Hearduino, My_Hearduino_Will_Stream_On.mp4, 25
22, Garbage Collection in CPython, Garbage_Collection_in_CPython.mp4, 28
23, Why doesn’t anyone use my library?, Why_doesnt_anyone_use_my_library.mp4, 23
24, Sharding Data for Fun & Profit, Sharding_Data_for_Fun_Profit.mp4, 44
25, Introduction to the Pygame Library, Introduction_to_the_Pygame_Library.mp4, 27
26, Scaling Graph Computations with Online Algorithms, Scaling_Graph_Computations_with_Online_Algorithms.mp4, 47
27, Building Cross-Platform Native Desktop Applications with PyQt, Building_CrossPlatform_Native_Desktop_Applications_with_PyQt.mp4, 42
28, Modeling an Arithmetic Logic Unit in Python, Modeling_an_Arithmetic_Logic_Unit_in_Python.mp4, 47
29, Using Graphs for High Quality Recommendations, Using_Graphs_for_High_Quality_Recommendations.mp4, 57
30, The New Basic App: Complex Data Aggregation in Flask, The_New_Basic_App_Complex_Data_Aggregation_in_Flask.mp4, 51
31, Time to Rhyme: The CMU Pronouncing Dictionary and You, Time_to_Rhyme_The_CMU_Pronouncing_Dictionary_and_You.mp4, 58
32, Python, Inc., Python_Inc.mp4, 27
33, Using Networkx to Explore Pathfinding , Using_Networkx_to_Explore_Pathfinding.mp4, 18
34, How reviewing code makes me a better programmer!, How_reviewing_code_makes_me_a_better_programmer.mp4, 24
35, 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.mp4, 37
36, Scraping (some of) the NYPL Catalog: a story of Requests and BeautifulSoup , Scraping_some_of_the_NYPL_Catalog_a_story_of_Requests_and_BeautifulSoup.mp4, 32
37, Foreign Function Interfaces for Web Developers, Foreign_Function_Interfaces_for_Web_Developers.mp4, 22
38, Introduction to Meteor, Introduction_to_Meteor.mp4, 26
39, One, two, buckle your shoe, 12_buckle_your_shoe.mp4, 19
40, Metaclasses and Decorators in the Wild: Ingesting Data With FeedEater, Metaclasses_and_Decorators_in_the_Wild_Ingesting_Data_With_FeedEater.mp4, 19
41, State of the library: matplotlib, State_of_the_library_matplotlib.mp4, 24
42, Untangling Twisted: How We Scaled a Python Service for Online Publishers, Untangling_Twisted_How_We_Scaled_a_Python_Service_for_Online_Publishers.mp4, 53
43, Type Python, Press Enter. What Happens?, Type_Python_Press_Enter_What_Happens.mp4, 29
44, Introduction to pysparkling, Introduction_to_pysparkling.mp4, 21
45, Python Not Recommended, Python_Not_Recommended.mp4, 23
46, An Iterative Approach to Inverse Problems using Python's Numpy, An_Iterative_Approach_to_Inverse_Problems_using_Pythons_Numpy.mp4, 29
47, What's up with th@? Adding an Operator to CPython, Whats_up_with_th_Adding_an_Operator_to_cPython.mp4, 22
48, Good Test, Bad Test, Good_Test_Bad_Test.mp4, 27
49, Voice programming: a how-to, Voice_programming_a_howto.mp4, 20
50, Collecting and Organizing Boiler Data From Various Online Databases, Collecting_and_Organizing_Boiler_Data_From_Various_Online_Databases.mp4, 27
51, Intro to Building Data Pipelines in Python with Luigi, Intro_to_Building_Data_Pipelines_in_Python_with_Luigi.mp4, 23
52, Pyxley: Easy Web Applications with Flask and React.js, Pyxley_Easy_Web_Applications_with_Flask_and_Reactjs.mp4, 20
53, Using Python for Sarcasm Detection in Speech, Using_Python_for_Sarcasm_Detection_in_Speech.mp4, 23
54, Improving Your Flask APIs, Improving_Your_Flask_APIs.mp4, 20
55, Dev Environments: The Next Generation, How_I_Learned_to_Stop_Worrying_and_Love_My_Dev_Environment.mp4, 55
56, Going parallel and larger-than-memory with graphs, Going_parallel_and_outofcore_with_task_scheduling.mp4, 42
57, 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.mp4, 20
58, SQLAlchemy ORM for Beginners, SQLAlchemy_ORM_for_Beginners.mp4, 51
59, What the FORTRAN is ** Doing in Python ?, What_the_FORTRAN_is_Doing_in_Python.mp4, 23
60, Introduction to HTTPS: A Comedy of Errors, Introduction_to_HTTPS_A_Comedy_of_Errors.mp4, 22
61, Acceptance Test Driven Development, Acceptance_Test_Driven_Development.mp4, 56
62, Introduction to Topic Modeling in Python, Introduction_to_Topic_Modeling_in_Python.mp4, 49
63, Large scale non-linear learning on a single CPU, Large_scale_nonlinear_learning_on_a_single_CPU.mp4, 25
64, How Do Python Coroutines Work?, How_Do_Python_Coroutines_Work.mp4, 32
65, Topic Analysis of NYPD Officer Complaints, Topic_Analysis_of_NYPD_Officer_Complaints.mp4, 23
66, The Python Datamodel: When and how to write objects, The_Python_Datamodel_When_and_how_to_write_objects.mp4, 23
67, Mr. CKAN Goes to Washington, Mr_CKAN_Goes_to_Washington.mp4, 28