Based on: Google searches for language tutorials

Transcription

1 Python Inc.

2 Python is popular!

3 python.meetup.com

4 github.com/search }

5 Based on: Google searches for language tutorials

6 Based on: the number of skilled engineers world-wide, courses and third party vendors

7

8 What actually matters for growing and sustaining a language and community

9 (former) Director Diversity

10 Python Startups Rebootless Linux kernel updates (Python desktop client) Real-time group collaboration (Django website) File sync, share, and collaboration (Python desktop client)

11 What actually matters

12 Python Inc.

13 Python Inc: Part I Metrics Metrics help you focus on impact

14 The Metrics 1. New user growth 2. Retention 3. Engagement 4. Virality

15 The Metrics 1. New user growth 2. Retention 3. Engagement 4. Virality Typical metric # of new users / month

16 The Metrics 1. New user growth 2. Retention 3. Engagement 4. Virality Typical metric % of month over month active users

17 The Metrics 1. New user growth 2. Retention 3. Engagement 4. Virality Typical metric Average # of hours of use per day

18 The Metrics 1. New user growth 2. Retention 3. Engagement 4. Virality Typical metric % of users who have shared with another user this month

19 The Funnel New users Highly-engaged users Customers Funnel analysis helps you focus on impact

20 The Funnel Poor onboarding Not enough use-cases Value isn t worth cost New users Highly-engaged users Customers Competitors Unclear value proposition Doesn t match user workflows

21 The Funnel Great onboarding Great for many use-cases Value is worth the cost New users Highly-engaged users Customers Clear value proposition Great for many workflows Better than the competition

22 The Flywheel New users Virality Retention, Engagement Highly-engaged users, Customers Metrics + funnel analysis optimized flywheel

23 Metrics case study: Python

24 The Metrics 1. New user growth 2. Retention 3. Engagement 4. Virality

25 The Metrics 1. New user growth 2. Retention 3. Engagement 4. Virality Example metrics # of new user group attendees / month # of Python downloads / month

26 New attendees at the Boston Python Workshop

27 The Metrics 1. New user growth 2. Retention 3. Engagement 4. Virality Example metrics % of month over month active user group attendees % of month over month active CPython contributors

28 Contributors at the PyCon development sprints

29 The Metrics 1. New user growth 2. Retention 3. Engagement 4. Virality Example metrics # of user group event volunteers # of weekly CPython code reviewers

30 Volunteers at a introductory Python tutorial

31 The Metrics 1. New user growth 2. Retention 3. Engagement 4. Virality Example metrics % of 1st-time conference attendees # of GitHub / Twitter / Facebook likes / shares Rate of language adoption in schools / businesses

32 PyCon Asia-Pacific: huge year-over-year growth

33 The Funnel Potential Python users Python learners Python users Ecosystem contributors

34 The Funnel Not used in school / job Hard to set up dev environment Potential Python users Python learners Unclear value proposition Confusing tutorials Not enough use-cases Intimidating Python users Ecosystem contributors Insufficient local or online community Weak new-contributor support

35 The Funnel Popular at school & work Easy to set up dev environment Potential Python users Python learners Clear value proposition Clear, effective tutorials Great for many use-cases Friendly, welcoming developer community Python users Ecosystem contributors Strong local and online communities Great new contributor support

36 The Flywheel Potential Python users Virality Retention, Engagement Learners, users, ecosystem contributors

37 Python Inc: Part II The market

38 Python Inc: Part II The market 1. The competition 2. The (ever-changing) market 3. Python s competitive advantages

39 The competition Web / Infrastructure As a glue language DevOps Education Scientific computing Data analysis Desktop software

40 JavaScript The competition Web / Infrastructure As a glue language Scala Go Ruby DevOps Education Scientific computing Data analysis Desktop software R And don t forget: Java and C are old-timers but still have > 3x the market share

41 The (ever-changing) market 1. Web 2. Mobile

42 Python s competitive advantages 1. Strong community 2. Comparatively easy to learn 3. General-purpose 4. Increasingly popular in schools

43 Python can be 1. The default language learned in school 2. The easiest, most delightful language to learn and share 3. A great general-purpose language for many applications

44 Python is 1. Hard to install 2. Falling behind on quality of onboarding 3. Hard to use on Windows 4. Hard to distribute 5. Still behind Java, C++ in schools 6. Still dealing with an image problem

45 Python Inc: Part III You are the CEO

46 Python can be 1. The default language learned in school 2. The easiest, most delightful language to learn and share 3. A great general-purpose language for many applications

47 Python is 1. Hard to install 2. Falling behind on quality of onboarding 3. Hard to use on Windows 4. Hard to distribute 5. Still behind Java, C++ in schools 6. Still dealing with an image problem

48 Where to focus? (Learning about functions at a Boston Python Workshop)

49 Remember the funnel! Popular at school & work Easy to set up dev environment Potential Python users Python learners Clear value proposition Clear, effective tutorials Great for many use-cases Friendly, welcoming developer community Python users Ecosystem contributors Strong local and online communities Great new contributor support

50 The Metrics 1. New developer growth 2. Retention 3. Engagement 4. Virality The Flywheel Potential Python users The Funnel Potential Python users Virality Retention, Engagement Python learners Python users Ecosystem contributors Learners, users, ecosystem contributors

51 What actually matters

52 What doesn t matter?

53 What doesn t matter? Python 2 v. 3 The Funnel Potential Python users Python learners Python users Ecosystem contributors

54 What doesn t matter? Excessive bikeshedding about: Python 2.8 packaging the GIL Python being too slow any particular language feature PSF election protocol details etc. The Funnel Potential Python users Python learners Python users Ecosystem contributors

55 What does matter?

56 What does matter? 1. Best installation experience 2. Best onboarding experience 3. Accelerated adoption in schools

57 What does matter? 1. Best installation experience Especially on Windows Including for common libraries

58 installing Python won't happen here, sorry. Reverend Speed says... Gahh, another game I can't play. I get the error message, "10secs.exe is not a valid Win32 application". Could this be because I'm on Windows XP? Mental Atrophy says... Reverend Speed, it is a 64-bit application because of the way I "compiled" it. Sorry.

59 What does matter? 1. Best installation experience 2. Best onboarding experience Opinionated onboarding: don t overwhelm beginners with choices they don t know how to make Separate tutorials for first-time and experienced programmers

60

61

62

63 Best onboarding experience?

64

65

66 What does matter? 1. Best installation experience 2. Best onboarding experience 3. Accelerated adoption in schools Leading general computer science adoption Universities Secondary schools After-school programs

67

68 Generic call to action

69 Pick a part of the Python community you are passionate about New programmers Kids Students A user group A conference An open source Python project Core Python The Python job market

70 This year Pick a metric funnel segment flywheel arc Pick 1 project

71 Generic call to action

72 Opinionated call to action = higher impact

73 Help with 1 of these 1. Best installation experience 2. Best onboarding experience 3. Accelerated adoption in schools Step 1: Assemble a Working Group Step 2: Define key metrics and objectives Step 3: Execute!

74 The Python Software Foundation

75 PSF Outreach & Education An intro workshop for first-time programmers

76 Python Sprints

77 PSF Grants

78 1 project x 450 people = huge impact

79 1 project x 450 people = huge impact Let s do it!

80 Python Inc. Thank you! Questions?