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mentor's Introduction

Mentor: A developer protégé guidebook

Intro

This is a guidebook for those looking to become a developer protégé. It contains the skeleton of a self paced curriculum and guidelines for an ideal mentor/protégé relationship.

Format

I believe the best relationships are two-way, and mentoring is no exception. Therefore, in order to get the most out of a mentorship, you (the protégé) must have a SMART (Specific, Measurable, Achievable, Relevant, and Time-bound) goal for what you wish to accomplish. Your goal could be to develop a new API, get a job in a particular field, etc.

In exchange for helping you reach your goal, I ask for your assistance by contributing to one of my pinned open source repos.

Office Hours

Once a month, I'll allocate 2 hours for a communal live-video session (skype/google hangeouts) to review code, answer questions, discuss goals, etc.

Stages

Self study

  • pick your primary SMART goal and create an issue
  • read/view the linked resources and submit any questions as issues
  • select a pinned repo to contribute to, then create an issue indicating your selection
  • read your selected repo's README and take note of any confusing wording or code examples
  • use your selected repo in a project
  • submit a PR to your selected repo

Live sessions

  • review your goal(s)
  • review your current progress
  • answer questions about the linked resources
  • answer questions about your selected repo

Expertise

It obviously won't make sense for me to mentor you in an area I'm not strong in. Below are what I consider my areas of expertise.

Fields

  • backend development
  • functional programming
  • data science / data analysis
  • web app development
  • entrepreneurship

Technologies

  • Python
    • Flask
    • SQLAlchemy
    • Pandas
    • BeautifulSoup/Scrapy
    • Twisted
    • tox/nose/pytest
  • CoffeeScript
    • Node/Express
    • D3
    • Leaflet
    • Mithril
    • Chaplin/Backbone/JQuery
    • Lunr
  • Misc
    • BASH
    • SQL
    • Stylus
    • Pug/Jade
  • Cloud
    • Heroku
    • DigitalOcean
    • S3
    • TravisCI
  • DB
    • MongoDB
    • PostgreSQL
    • SQLite
    • Memcache
    • Redis

Resources

Next Steps

This is a living document. Over time I will add worksheets, resources, and additional information. Please check this repo frequently to stay up-to-date.

Want to get started? Pick your primary SMART goal and select one of my pinned repos. Then create an issue with your selections. Finally, "watch" this repo to be notified of the upcoming office hours schedule.

mentor's People

Contributors

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Stargazers

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Watchers

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mentor's Issues

SMART GOAL

backend development
functional programming
data science / data analysis
web app development

Technologies Used :

Python
Flask
SQLAlchemy
Pandas
BeautifulSoup/Scrapy
Twisted
tox/nose/pytest
CoffeeScript
Node/Express
D3
Leaflet
Mithril
Chaplin/Backbone/JQuery
Lunr
Misc
BASH
SQL
Stylus
Pug/Jade
Cloud
Heroku
DigitalOcean
S3
TravisCI
DB
MongoDB
PostgreSQL
SQLite
Memcache
Redis
Resources

Python
Idiomatic Python
Python tutorial
Flask (dropbox)
Misc
why-i-wont-use-your-open-source-project
Database (dropbox)
APIs
ten-reasons-developers-hate-your-api (slides)
REST (dropbox)
functional programming
Functional Thinking (video)
pure-functions
data science
FAQ
Partially Derivative

chuchu SMART goals

  • Development using Python, especially OOP and its ins and outs.
    • Working with built in functions such as lambda functions
    • More specifically working with objects
    • Working with built in data structures such as list and dictionaries
    • Knowing when to choose one of the other
  • Flask, to build APIs
    • Getting flask up and running
    • Learning the MVC pattern - what are my models, views and controllers
    • Where do I put the models, views and controllers
    • Where best to host a flask app

Timeline:
2 to 3 months for a solid grasp, but less if I really challenge myself

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