Namespace Podcast

Of course we were unable to discuss the biggest secret to programming excellence in a single episode. Check out SOLID Design Principles Part 2 for a complete picture of the 5 steps to OOP perfection!

The famous SOLID design principles, elemental to writing clean code, are presented by Jordan and Derek to help guide your pursuit in ideal code design.

Jordan and Derek discuss their various consulting and contracting experiences in an episode which doubles as a therapy session and advice into the deciding factors between contracting, consulting, and full time roles.

Our longest episode yet! Or many mini episodes in one ... Derek and Jordan provide commentary on the 2020 Stack Overflow Developer Survey and interpret what these results may imply about the state of the tech industry.

We've all worked with a code base where we were afraid to change anything. That's the result of technical debt. Today we redefine technical debt, talk about where it comes from, how much it actually costs, but most importantly how to pay it down, and accrue less to begin with.Adam Tornhill @ GOTO 2019 - Prioritizing Technical Debt as if Time and Money Matters:https://www.youtube.com/watch?v=fl4aZ2KXBsQAdam Tornhill Tools to Measure Technical Debt:https://codescene.io/https://github.com/adamto...

Listen as we fix the gender wage gap right here in this podcast! A discussion of statistics, experiences, and ideas.Harvard Study:http://scholar.harvard.edu/files/goldin/files/dynamics_of_the_gender_gap_for_young_professionals_in_the_financial_and_corporate_sectors.pdfAAUW Analysis:https://www.aauw.org/research/the-simple-truth-about-the-gender-pay-gap/Interview with Reshma Saujani, founder of Girls Who Code:https://hbr.org/podcast/2019/02/fixing-techs-gender-gapStack Overflow Survey:https://...

Number one best practice: don't be dogmatic!

Figure out which language will help you achieve your goals + our top tips for learning a new language.

Ever heard something so ridiculous you had to start a podcast? We have!Statistics References:https://insights.stackoverflow.com/survey/2019#most-loved-dreaded-and-wantedhttps://stackoverflow.blog/2017/09/06/incredible-growth-python/https://insights.stackoverflow.com/survey/2017#technologies-and-occupationshttps://octoverse.github.com/

What are they, why is everybody using them, and why is everybody doing it wrong?