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Lessons Learned in Teaching Python by Sandy Str...
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PyCon 2013
March 17, 2013
Programming
3
1.1k
Lessons Learned in Teaching Python by Sandy Strong and Christine Cheung
PyCon 2013
March 17, 2013
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Transcript
Lessons Learned in Teaching Python Sandy Strong and Christine Cheung
PyCon 2013
About the Speakers Sandy Strong Sandy Strong (@sandymahalo) Systems Engineer
at DreamHost Tutoring and workshops for high schoolers and adults Christine Cheung (@plaidxtine) Freelance web developer Workshop organizing/teaching for local user groups • • • • • •
Why Teaching? Passion for sharing Contribution to the community Diversity
efforts “Teaching is learning twice” • • • •
Expectations What do YOU want? Reasoning for teaching Determine motivation
and goals WHO do you want to teach? Target a specific type of audience • • • • •
Entry Points Volunteer for user group Form your own Tutoring
For-profit training • • • •
Lesson Planning
Making Lesson Plans Adapt from existing don’t “read from book”
Write your own • • •
Know Your Material Be prepared Review your slides Functional code
demos Answers you don’t know Be honest, figure it out together • • • • •
Time Constraints More material than time Omit/edit parts during teaching
Flexible ending points • • •
Know Your Audience
Are they... 1. Beginners 2. Intermediates 3. Experts 4. Mix
of skill level
Assess Skill Level Do it early Survey Gauge pacing of
class While teaching Interact + listen • • • • •
Classroom Demographics Age Groups Gender Career Backgrounds • • •
Student Environment Plan for an hour of setup time List
requirements early Offer early setup time List minimum requirements • • • •
OS Challenges Windows Have documentation ready Environment variables Older OSes
Dependencies may not be met Consider “loaner laptops” • • • • • •
Python Versions Standarize 2.7 or 3? Do not mix and
match Consider virtualenv • • • •
Engaging With Students
Three Types of Students Falling behind Right on track Zipping
ahead • • •
Types of Beginners Younger beginners More adventurous / experimental Older
beginners More conservative Stay within bounds of exercises • • • • •
Absolute Beginners Don’t make assumptions everyone learns differently Explain concepts
in different ways Take it slow Encourage questions • • • • •
Identifying Struggle Less likely to engage May “give up” silently
Beginners in an experienced room intimidated / shy utilize mentors to help them • • • • •
Identifying Boredom Engaged but work ahead Will utilize mentors Bonus
exercises • • •
Keep Them Interested Encourage them to work with neighbors Group
work Short social breaks Anecdotes and humor Demo interesting projects • • • • •
Common Beginner Questions Using the shell vs. interpreter String formatting
Types of data structures List vs Tuple Math Boolean logic Order of operations • • • • • • •
More Common Questions Debugging (pdb) OOP class design Application deployment
• • •
No Questions? Beginners may be shy Use relatable stories Ask
questions: “Can anyone tell me why ____ worked the way it did?” • • • •
Dealing With Difficult Students Answer questions ...but don’t feed the
troll(s) offer to talk later Class disruption Handle during break • • • • •
Location
Venues Decide the type of venue Getting a venue existing
group businesses / hackerspaces / school rent a venue (for profit) • • • • •
Knowing Your Venue Internet Power outlets and capacity Tables and
chairs Projector Backup plans (extra supplies) • • • • •
Know the Neighborhood Travel Options Parking Restaurants / Bars Conflicting
events • • • •
Retention Enthusiasm fades quickly Have another session planned Extra assignments
Community resources Communication channels Meetup, Facebook, Twitter, etc. • • • • • •
Wrap-Up
Questions?