Tutorials

Sign Up For Tutorials

The tutorials at PyCon Canada have a limited capacity of up to 50 people. If you're interested in attending one of the PyCon Canada tutorials, please sign-up in advance below.

You can sign up by logging into your GitHub account, which will allow you to edit the page. The "edit" button in the top right of this page, and add your name to the lists.

If you do not have access to edit this page, please send us an email at speakers@pycon.ca

Note: that you must already have a ticket to PyCon Canada 2019 to attend.

We will also be using this list to send out any tutorial requirements (things that you should have installed on your laptop before arriving at the tutorial).

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Presenter Name

Date and Time

Description

Software requirements:

Add your name here:

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Presenter Name: Susan Li

Date and Time: Saturday November 16 10:30 AM - 11:25 AM

Description: Do-it-yourself Natural Language Processing for makers

Susan Li walks you through deep learning methods for natural language processing (NLP) tasks using Python and open source libraries, using a live example. Methods include word2vec embedding, recurrent neural networks (RNN) and convolutional neural networks (CNN). This is a hands-on approach to framing a real-world problem to the underlying NLP tasks and building a NLP application using Deep Learning. If you are a data scientist or software developer with experience in Python who wants to develop natural language processing software, this talk is for you.

Add your name here:

1. Marnie Landon
2. Deborah Harris
3. Gurinder Ghotra
4. Ryan Scott
5. Raul Samayoa
6. Rachel Wang
7. Tejinder Singh
8. Swapnil Kotecha
9. Nimmy Thomas
10. Thomas Krennwallner
11. Julien Beaulieu
12. Amal Boukhdhir
13. Maxime Leroux
14. Nadia Rauch
15. Shohei Kato
16. Pek Chhan
17. Gurpreet Dhillon
18. Rohit Garg
19. Ashley Ee
20. Rahul Malhotra
21. Victoria Mothersill
22. Atticus Yang
23. Robert Mix
24. Jeremy Stairs
25. Ian Preston
26. Fatima Taj
27. David Reiss
28. Kelly Bell
29. Johnny Cochrane
30. Kyrylo Bessonov
31. Obiamaka Agbaneje
32. Sabeur Lafi
33. Karthik Balakrishnan
34. Daniel Jordán
35. Joao MC Teixeira
36. Marni Tam
37. Santiago Mendoza
38. Chaya Danzinger
39. Abe Chan
40. Inderpreet S. Baweja
41. Jean-Francois Labonte
42. Marie-Christine Bastarache-
43. Mabrouk Ouchen
44. Amine Hedroug
45. Razaik Boparai
46. Ronald Lira
47. Ji Chen
48. Saman A. Pour
49. Sanoar Khan

This tutorial is now full (room capacity is 50). If you no longer wish to attend, please remove yourself so others on the waitlist can.

Waitlist:

1. Andrew Francis
2. Julius D'Silva
3. Swarnika Tiwari
4. Sunmin Kim
5. Qinglei Zhang
6. Gabriele Marras
7. Jaideep Bajwa
8. Kang Ming Tay
9. Mahammad Ismayilzada
10. Andy Yang
11. Daniel Adam Cebula
12. Tony Feng
13. Ravi Kalia
14. Jordan Lund
15. Peter Yang

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Presenter Name: Aaron Wislang

Date and Time: Saturday November 16 @ 13:30

Description: Container Workflows for Python Developers

In this workshop we will go hands on with container workflows for Python developers. Expect something for everyone -- whether you are looking to containerize your first Python application, already run your own Kubernetes cluster, need to wrangle mountains of ML, or prefer "CI/CD to do it for me". Let's explore how containers and the cloud can make hard things easy and developers more productive with real-world scenarios and techniques that you will start using today.

Software requirements:

Add your name here:

1. Elaine Wong
2. Daniel Vergara
3. Tejinder Singh
4. Swapnil Kotecha
5. Valery Calderón
6. Amal Boukhdhir
7. Mike Kelly
8. Jessica David
9. Gurpreet Dhillon
10. Rohit Garg
11. Rahul Malhotra
12. Victoria Mothersill
13. Atticus Yang
14. Robert Mix
15. Ian Preston
16. Kavita Srinivasan
17. Maia Haltiner
18. Hughie Coles
19. Saeed Shoaraee
20. Johnny Cochrane
21. Kyrylo Bessonov
22. Paras Bhatia
23. Serge Basso
24. Sabeur Lafi
25. Zohreh Hosseinzadeh
26. Jasminder Kaur
27. Karthik Balakrishnan
28. Anthony Tan
29. Daniel Jordán
30. Joao MC Teixeira
31. Santiago Mendoza
32. Alan J Castonguay
33. Gabriel Campanella
34. Anatoli Chiciuc
35. Abe Chan
36. Inderpreet S. Baweja
37. Mabrouk Ouchen
38. Amine Hedroug
39. Razaik Boparai
40. Ronald Lira
41. Ji Chen
42. Sanoar Khan
43. Howard Schneider
44. Daniel Adam Cebula
45. Zhaolong Zhu
46. Brandon Wells
47. David Lieu
48. Julius D'Silva

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This tutorial is now full (room capacity is 50). If you no longer wish to attend, please remove yourself so others on the waitlist can.

Waitlist:

1. Nauman Rana
2. Jason Klimock
3. Xavier Mercure-Gagnon
4. Imran Ariffin
5. Alexander Jurcau
6. Dillon Aykac
7. Mahammad Ismayilzada
8. Stan Stepniewski
9. Corey Maher
10. Michael Landry
11. Thomas Van Zuiden
12. Ravi Kalia
13. Jordan Lund
14. Julien Beaulieu
15. Christopher McTague
16. Mark Fingerhuth

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Presenter Name: Mafinar Khan (@mafinar)

Date and Time: Saturday November 16 4:00 - 4:55 PM

Description: Query better with Django ORM

The ORM is a powerful and vital part of Django. It is simple and intuitive, but often some of the features are under utilized, leading to inefficiencies. In this cookbook style session, a selection of nontrivial query use cases will be presented, each introducing an ORM feature. Features covered are- advanced querying techniques, database functions, and performance optimization. It will be an interactive session and participants are encouraged to share knowledge and ask questions based on real-life experiences. The tutorial will end with a discussion on recent and upcoming ORM features.

Presentation Link | Github Repository

Software requirements:

• Python 3.5+
• Django 2.2+
• Postgresql 9+

Add your name here:

1. Serge Basso
2. Gurinder Ghotra
3. Ryan Scott
4. Tejinder Singh
5. Thomas Krennwallner
6. Valery Calderon
7. Renga
8. Paras Bhatia
9. Vincent Poirier
10. Gurpreet Dhillon
11. Rohit
12. Robert Mix
13. Maia Haltiner
14. Hughie Coles
15. Saeed Shoaraee
16. Kyrylo Bessonov
17. Zohreh Hosseinzadeh
18. Jasminder Kaur
19. Mohesan Sreekuladevan
20. Igor Vasilev
21. Michael Dennis
22. Daniel Adam Cebula
23. Ethan Morrill-Ploum
24. Dustin Singer
25. Mandeep Ahlawat
26. Daniele Brandimarte
27. Mike Bechard
28. David Lieu
29. Sunmin Kim
30. Niall Byrne
31. Ravi Kalia
32. Mirko Vucicevich
33. Kelly Bell
34. Kelvin Chan
35. Maxim Ulyanov
36. Steve Constable

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Presenter Name: Jamon Camisso

Date and Time Sunday November 17 @ 11:00am

Description: Python & Kubernetes a match made in the cloud

In this workshop, you will learn how you can deploy and scale Python applications using Kubernetes. You will quickly be introduced to the benefits of this container-orchestration system and be offered some guidelines to help you decide if it’s a tool for you. Once your machine is configured using the CLI, the remainder of the tutorial will be about deploying a Python web application in the cloud within a Kubernetes cluster.

Presentation is here And code is available here

Software requirements:

Bring your own computer and create a free account on DigitalOcean (use this link for a 50$ credit for new accounts). Or sign up using do.co/jamon for free access to a team account for the workshop (no payment details required).

1. Docker to build and run application images. Installation instructions here.

2. kubectl to interact with a Kubernetes cluster directly from your computer. Installation instructions here.

Add your name here:

1. Daniel Vergara

2. Tejinder Singh

3. Valery Calderon

4. Mike Kelly

5. Gurpreet Dhillon

6. Rohit Garg

7. Marc Laforet

8. Rahul Malhotra

9. Robert Mix

10. Maia Haltiner

11. Maxim Ulyanov

12. Hughie Coles

13. Saeed Shoaraee

14. Kyrylo Bessonov

15. Obiamaka Agbaneje

16. Sabeur Lafi

17. Zohreh Hosseinzadeh

18. Jasminder Kaur

19. Karthik Balakrishnan

20. Anthony Tan

21. Santiago Mendoza

22. Alan J Castonguay

23. Abe Chan

24. Inderpreet S. Baweja

25. Razaik Boparai

26. Pierre Paul Lefebvre

27. Sanoar Khan

28. Brandon Wells

29. Chaya Danzinger

30. David Lieu

31. Harsh Patel

32. Saisivaramaprasad Rayabharapu

33. Sunmin Kim

34. Jeremy Stairs

35. Kerem Balci

36. Gurinder Ghotra

37. Susan Shu Chang

38. Jean-Francois Labonte

39. Nauman Rana

40. Jason Klimock

41. Xavier Mercure-Gagnon

42. Jérémy Laurent

43. Imran Ariffin

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This tutorial is now full (room capacity is 50). If you no longer wish to attend, please remove yourself so others on the waitlist can.

Waitlist:

1. Jaideep Bajwa
2. Mahammad Ismayilzada
3. Andy Yang
4. Shohei Kato
5. Jared Hildebrandt
6. Michael Landry
7. Ravi Kalia
8. Jordan Lund
9. Christopher McTague
10. Xiaojun Su
11. Nikita Dua
12. Andy Birla
13. Zhaolong Zhuu
14. Kevin Zhang
15. Veronica Wu

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Presenter Name: Kyle Kotowick

Date and Time: Sunday November 17 2:45 PM - 3:40 PM

Description: A need for speed: accelerating your math with vectorization and Numpy

While Python is an extremely versatile language, it isn't exactly known for its blazing performance. When developing math-intensive applications, particularly on low-power devices such as single-board computers, this can become a real issue. This talk provides an introduction to vectorization and libraries designed to support it (such as Numpy), giving you the tools you need to eliminate those pesky for loops and achieve a drastic performance boost.

Software requirements:

Add your name here:

1. Raul Samayoa
2. Tejinder Singh
3. Thomas Krennwallner
4. Nimmy Thomas
5. Paras Bhatia
6. Julien Beaulieu
7. Amal Boukhdhir
8. Maxime Leroux
9. David Ing
10. Rahul Malhotra
11. Victoria Mothersill
12. Saeed Shoaraee
13. Kyrylo Bessonov
14. Alissa Brayley
15. Obiamaka Agbaneje
16. Sabeur Lafi
17. Zohreh Hosseinzadeh
18. Jasminder Kaur
19. Andy Palmer
20. Joao MC Teixeira
21. Santiago Mendoza
22. Inderpreet S. Baweja
23. Tim von Hahn
24. Mabrouk Ouchen
25. Amine Hedroug
26. Ali Jina
27. Ronald Lira
28. Ji Chen
29. Daniel Adam Cebula
30. Kim Estelo
31. Swarnika Tiwari
32. Sunmin Kim
33. Jason Klimock
34. Jaideep Bajwa
35. Andy Yang
36. Shohei Kato
37. Stan Stepniewski
38. Corey Maher
39. Robert Keyes
40. Ravi Kalia
41. Renee Chan
42. Xiaojun Su
43. Kevin Zhang
44. Jing Guo
45. Veronica Wu
46. Gabriele Marras
47. Gurinder Ghotra
48. Andy Birla
49. Nikita Dua
50. Anshu Mathur

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