I have awesome news to share: I’m now a Developer Advocate at Applitools! I’m pumped for my new role. Watch my video announcement below for all the details.
I’ve always been frustrated with poor quality audio recordings. Microphones built into laptops are very convenient, but they usually yield tinny sound lacking the depth of real voices. When I asked my audiophile friends for advice, they recommended studio-level equipment that was beyond my comprehension and my budget. As a software guy, I just wanted an audio setup that captured high-quality audio while still being convenient for everyday usage. I’d need it for remote meetings as well as for recording talks and tutorials. I was willing to pay for good equipment as long as I could use it well. Unfortunately, my biggest frustration was ignorance. I didn’t know anything about recording.
Here’s what I finally found to work well for me:
- A Blue Yeti microphone
- A Blue Compass boom arm
- A Blue Radius III shockmount
- A foam microphone windscreen
When I did my research, the Blue Yeti microphone was at the top of everyone’s recommendation list. The nicest thing about a Blue Yeti mic is that it connects via USB. You simply plug it right into your laptop and select audio input and output channels. The mic doesn’t need an external power source, either.
Initially, I bought only the Blue Yeti mic and the foam windscreen. Instead of using the boom arm, I used the tabletop stand that came with the mic for all my recordings. This was a big mistake. The tabletop stand picked up a lot of local noise, like typing on a keyboard. The audio quality it picked up also sounded like it had a bit of an echo, which may have been due to sound bouncing off the tabletop or my hardwood floors.
The boom arm and shockmount made a huge improvement in recording quality. Plus, with the boom arm mounted firmly to my desk, I can easily move it towards me for recording or out of the way otherwise. It feels quite sturdy. I chose to use all Blue products so that I could be certain that they’d work together. You can save quite a bit of money if you buy the microphone, boom arm, and shockmount together as a bundle on Amazon (~$200), instead of a la carte like I did (~$250).
I plan to get a docking station for my laptop so that I can plug the microphone’s USB cable into the dock, simplifying desk’s cable management.
Even with this new setup, I still felt like I didn’t understand how to use my Blue Yeti microphone to its full potential. Thankfully, YouTube came to the rescue! This video greatly helped me understand things like tuning the mic’s gain and positioning the mic while speaking:
In summary, here’s what I like about the setup:
- It yields very good (maybe professional?) audio recording quality.
- It is simple enough for anyone to set up and use.
- It is convenient to use for remote meetings, video recordings, etc.
- It feels quite sturdy.
- It is relatively affordable (compared to other audio equipment).
Please note: I am not an expert in audio equipment, and this article is not sponsored by any company. I simply hope that someone can benefit from the things I learned (and possibly save a few bucks) if they want to improve their own recording game!
Happy Global Testers Day! For 2021, QA Touch is celebrating with webinars, games, competitions, blogs, and videos. I participated by sharing an “upside-down” story from years ago when I accidentally wiped out all of NetApp’s continuous integration testing. Please watch my story below. I hope you find it both insightful and entertaining!
In February 2021, Matthew Weeks interviewed me for the Work in Programming podcast. Matthew asked all sorts of questions about my story – how I got into programming, what I learned at different companies, and why I started blogging and speaking. I greatly enjoyed our conversation, so much so that it lasted an hour and a half!
If you’re interested to hear how my career has gone from high school to the present day, please give it a listen. There are some juicy anecdotes along the way. The link is below. Many thanks to Matthew for hosting and editing the interview. Be sure to listed to other Work in Programming interviews, too!
Back in 2011, I was a recent college grad working at IBM as a “performance engineer” for z/OS mainframe software. Now, I didn’t know anything about mainframes, but I was thankful to have a job on the heels of the Great Recession.
At the time, IBM had recently released the Jazz platform with Rational Team Concert (RTC), a collaborative project management tool geared towards Agile software development. Teams company-wide started adopting RTC whether they wanted it or not. My team was no different: we created a team project in RTC and started writing work items in it. In my opinion, RTC was decent. It was very customizable, and its aesthetics and user experience were better than other tools at the time.
One day, I made a typo while trying to assign a work item to myself. When typing a name into the “owner” field, RTC would show a list of names from which to choose. For whatever reason, the list included all IBM employees, not just members from my team. IBM had nearly 400,000 employees worldwide at the time. I accidentally selected someone else with a similar name to mine. Blissfully unaware of my mistake, I proceeded to save the work item and start doing the actual work for it.
About a day later, I received a nastygram from another IBMer named Andrea Knight, demanding to know why I assigned her this work item in RTC. I had never met this person before, and she certainly wasn’t on my team. (To be honest, I don’t remember exactly what her name was, but for the sake of the story, we can call her Andrea.) At first, I felt perplexed. Then, once I read her message, I quickly realized that I must have accidentally listed her as the owner of the work item. I immediately corrected the mistake and humbly replied with an apology for my typo. No big deal, right?
Well, Andrea replied to my brief apology later that day to inform me that she was NOT responsible for that work item because she had NEVER seen it before and that she would NOT do any work for it.
I was quite taken back by her response.
I let it go, but I couldn’t help but wonder why she would answer that way. Perhaps she was having a bad day? Perhaps her manager scrutinized all work items bearing her name? Perhaps the culture in her part of the company was toxic? Was my mistake that bad?
Even though this incident was small, it taught me one important lesson early in my career: a little bit of grace goes a long way. Poor reactions create awkward situations, hurt feelings, and wasted time. If we make a mistake, we should fix it and apologize. If someone else makes a mistake, we should strive to be gracious instead of unpleasant. I try to practice this myself, though, sometimes, I fail.
Nobody is perfect. That’s why we all need grace.
Mentoring is important in any field, but it’s especially critical for software testing. I’ve been blessed with good mentors throughout my life, and I’ve also been honored to serve as a mentor for other software testers. In this article, I’ll explain what mentoring is and how to practice it within the context of software testing.
What is Mentoring?
Mentoring is a one-on-one relationship in which the experienced guides the inexperienced.
- It is explicit in that the two individuals formally agree to the relationship.
- It is intentional in that both individuals want to participate.
- It is long-term in that the relationship is ongoing.
- It is purposeful in that the relationship has a clear goal or development objective.
- It is meaningful in that growth happens for both individuals.
Mentoring is more than merely answering questions or doing code reviews. It is an intentional relationship for learning and growth.
Why Software Testing Mentoring Matters
Software testing is a specialty within software engineering. People enter software testing roles in various ways, like these:
- A new college graduate lands their first job as a QA engineer.
- A 20-year manual tester transitions into an automation role.
- A developer assumes more testing responsibilities for their team.
- A coding bootcamp graduate decides to change career.
There’s no single path to entering software testing. Personally, I graduated college with a Computer Science degree and found my way into testing through internships.
Unfortunately, there’s also no “universal” training program for software testing. Universities don’t offer programs in software testing – at best, they introduce unit test frameworks and bug report formats. Most coding bootcamps focus on Web development or data science. Certifications like ISTQB can feel arcane and antiquated (and, to be honest, I don’t hold any myself).
The best ways we have for self-training are communities, conferences, and online resources. For example, I’m a member of my local testing community, the Triangle Software Quality Association (TSQA). TSQA hosts meetups monthly and a conference every other year in North Carolina. Through these events, TSQA welcomes everyone interested in software testing to learn, share, and network. I also recommend free courses from Test Automation University, and I frequently share blogs and articles from other software testing leaders.
Nevertheless, while these resources are deeply valuable, they can be overwhelming for a newbie who literally does not know where to begin. An experienced mentor provides guidance. They can introduce a newcomer to communities and events. They can recommend specific resources and answer questions in a safe space. Mentors can also provide encouragement, motivation, and accountability – things that online resources cannot provide.
How to Do Mentoring
I’ve had the pleasure of mentoring multiple individuals throughout my career. I mentor no more than a few individuals at a time so that I can give each mentee the attention they deserve. Mentoring relationships typically start in one of these ways:
- Someone asks me to be their mentor.
- A manager or team leader arranges a mentoring relationship.
- As a team leader, I initiate a mentoring relationship with a new team member (because that’s a team leader’s job).
Almost all of my mentoring relationships have existed within company walls. Mentoring becomes one of my job responsibilities. Personally, I would recommend forming mentoring relationships within company walls so that both individuals can dedicate time, availability, and shared knowledge to each other. However, that may not always be possible (if management does not prioritize professional development) or beneficial (if the work environment is toxic).
From the start, I like to be explicit about the mentoring relationship with the mentee. I learn what they want to get out of mentoring. I give them the top priority of my time and attention, but I also expect them to reciprocate. I don’t enter mentoring relationships if the other person doesn’t want one.
Then, I create what I call a “growth plan” for the mentee. The growth plan is a tailored training program for the mentee to accomplish their learning objectives. I set a schedule with the following types of activities:
- One-on-one or small-group teaching sessions
- The best format for making big points that stick
- Gives individual care and attention to the mentee
- Provides a safe space for questions
- Reading assignments
- Helpful for independently learning specific topics
- May be blogs, articles, or documentation
- Allows the mentee to complete it at their own pace
- Online training courses
- Example: Test Automation University
- Provides comprehensive, self-paced instruction
- However, may not be 100% pertinent to the learning objectives
- Pair programming or code review sessions
- Hands-on time for mentor and mentee to work together
- Allows learning by example and by osmosis
- However, can be mentally draining, so use sparingly
- Independent work items
- Real, actual work items that the team must complete
- Makes the mentee feel like they are making valuable contributions even while still learning
- “Practice makes perfect”
These activities should be structured to fit all learning styles and build upon each other. For example, if I am mentoring someone about how to do Behavior-Driven Development, I would probably schedule the following activities:
- A “Welcome to BDD” whiteboard session with me
- Reading my BDD 101 series
- Watching a video about Example Mapping
- A small group activity for doing Example Mapping on a new story
- A work item to write Gherkin scenarios for that mapped story
- A review session for those scenarios
- A “BDD test frameworks” deep dive session with me
- A work item to automate the Gherkin scenarios they wrote
- A review session for those automated tests
- Another work item for writing and automating a new round of tests
Any learning objective can be mapped to a growth plan like this. Make sure each step is reasonable, well-defined, and builds upon the previous steps.
I would like to give one warning about mentoring for test automation. If a mentee wants to learn test automation, then they must first learn programming. Historically, software testing was a manual process, and most testers didn’t need to know how to code. Now, automation is indispensable for organizations that want to move fast without breaking things. Most software testing jobs require some level of automation skills. Many employers are even forcing their manual testers to pick up automation. However, good automation skills are rooted in good programming skills. Someone can’t learn “just enough Java” and then expect to be a successful automation engineer – they must effectively first become a developer.
Characteristics of Good Mentoring
Mentoring requires both individuals to commit time and effort to the relationship.
To be a good mentor:
- Be helpful – provide valuable guidance that the mentee needs
- Be prepared – know what you should know, and be ready to share it
- Be approachable – never be “too busy” to talk
- Be humble – reveal your limits, and admit what you don’t know
- Be patient – newbies can be slow
To be a good mentee:
- Seek long-term growth, not just answers to today’s questions
- Come prepared in mind and materials
- Ask thoughtful questions and record the answers
- Practice what you learn
- Express appreciation for your mentor – it’s often a thankless job
Take Your Time
Mentoring may take a lot of time, but good mentoring bears good fruit. Mentees will produce higher-quality work. They’ll get things done faster. They’ll also have more confidence in themselves. Mentors themselves will feel a higher satisfaction in their own work, too. The whole team wins.
The alternative would waste a lot more time. Without good mentoring, newcomers will be forced to sink or swim. They won’t be able to finish tasks as quickly, and their work will more likely have problems. They will feel stressed and doubtful, too. Forcing people to tough things out is a very inefficient learning process, and it can also devolve into forms of hazing in unhealthy work environments. Anytime someone says there isn’t enough time for mentoring, I would reply by saying there’s even less time for fixing poor-quality work. In the case of software testing, the lack of mentoring could cause bugs to escape to production!
I encourage leaders, managers, and senior engineers to make mentoring happen as part of their job responsibilities. Dedicate time for it. Facilitate it. Normalize it. Be intentional. Furthermore, I encourage leaders to be force multipliers: mentor others to mentor others. Time is always tight, so make the most of it.
I hope this article is helpful! Do you have any thoughts, advice, or questions about mentoring, specifically in the field of software testing? I’d love to hear them, so drop a comment below.
I wrote this article as a follow-up to an “Ask Me Anything” session on July 15, 2020 with Tristan Lombard and the Testim Community. Tristan published the full AMA transcript in a Medium article. Many thanks to them for the opportunity!
PyTexas 2019 was an incredible Python conference. It was held at the Central Library in Austin, Texas from April 13-14. I’m so glad I went. Even though this was my seventh Python conference, it was one of my favorites so far. Here’s a brief recap of my experiences.
Why I Went
I consider myself very fortunate to have been able to go to PyTexas 2019. After my talk proposals for PyCon 2019 were rejected, I saw this tweet from Dustin Ingram, the conference chair for PyTexas:
Reinvigorated, I decided to give it a try. Lo and behold, one of my talks, Egad! How Do We Start Writing (Better) Tests?, was accepted! The video recording is below:
Thankfully, my talk was the very second talk of the conference. I could get it out of the way early so I could enjoy the rest of the conference without the nerves. And everyone always loves the pandas.
I also gave a Lightning Talk for the first time! I talked about the difference between unittest and pytest. My talk starts at 30:17, but be sure to listen to all of the talks.
I’d also like to thank my employer, PrecisionLender, for sponsoring my trip and enabling me to speak.
Talks are usually the main part of any conference. PyTexas 2019 was a single-track conference, meaning that everyone saw all of the talks. All talks were memorable for me, but I’ll write a separate post about the talks once all the recordings are posted. Here, I’ll cover other awesome things that happened.
My Recovery Day
Things had been very stressful for me in the first few months of 2019. I came to PyTexas essentially exhausted from life, and I needed a “Self Care Sprint” (as Kojo would say). So, that’s exactly what I did: I flew into Austin on Friday morning and spent the whole afternoon just being a low-key tourist. I ate a Texas-sized lunch at Stubb’s BBQ, viewed the artwork at Mexic-Arte Museum, walked along the Colorado River, and nearly fell asleep in the Central Library after perusing the stacks. That evening, I met up with other speakers at the Spider House for an informal pre-conference get-together. Even though I wasn’t “productive” by any professional definition, I felt thoroughly refreshed and ready for the excitement to come.
Austin has been invaded by electric scooters. They are on every street corner. There must be half a dozen different brands. Even Uber and Lyft have scooters for rent! Instead of hailing ride shares downtown, I just hopped the nearest Lime scooter. They go really fast, and they’re tons of fun!
The First After-Party
Literati Books generously hosted an after-party at Jo’s Coffee after the first day of the conference. I got to spend time with a bunch of cool people from the conference while enjoying sliders and craft beer. Carl even shared some of his jerky with us!
Other Testing Talks
I always get a rise out of testing talks at conferences. Python conferences always have a few but only a few. PyTexas had three. I think Kojo‘s tweets summed up my enthusiasm perfectly:
The Zen of Python Teams
Adrienne delivered one of the best keynote addresses I’ve ever attended. Seriously, go watch it. She talked about how the Zen of Python can be applied not only to code but also to teams. The best part was the “Easter egg” at the end. The Zen of Python famously leaves the 20th line blank so that we can make it for ourselves. Adrienne challenged us to come up with our own 20th point after handing out real Easter eggs to everyone in the audience! Mine? People matter.
I had never eaten at Whataburger before. This trip, that changed. William, Brian, and I hopped on those electric scooters and went to the Whataburger across the river for lunch on day 2. The patty melt was tasty, but the Dr. Pepper milkshake was out of this world! The views from the bridge were gorgeous as well.
The Second After-Party
After the conference ended, William, Aly, and I went to Mort Subite, a cool Belgian beer bar, to celebrate and unwind. Then, we rode electric scooters over to Baton Creole for a late-night dinner with Adrienne. We had some good food and even better discussions. It was the best way to end PyTexas!
PyTexas was the first conference where I felt like I fully belonged from day one. Every previous conference was a bit of a shot in the dark for me because I was still new to the Python community. PyTexas 2019 felt almost like a reunion. I strengthened existing friendships and made new ones: Adrienne, Kojo, Dustin, Ernest, Aly, William, Piper, Andy, Carl, Mason, Michael, Brian, and so many more. I also felt like I made a bigger impact at PyTexas than at other conferences because I genuinely felt like part of the community.
We should never take conferences (or any moments) for granted. Truly wonderful things happened at PyTexas. I felt creative. I felt inspired. I felt challenged by new ideas. I felt the itch to try new things. I left on a post-conference high and, surprisingly, I wasn’t particularly tired. The organizers did a phenomenal job running the conference smoothly and successfully. Seriously, hats off to them – many thanks for a job well done. As attendees, we should be grateful for all the hard work so many people did for the conference, and we should capitalize on what we take away from the conference.
Single-track and multi-track yield two very different conference experiences. PyTexas 2019 was my second single-track conference and my first one for a Python conference. Overall, I think the single-track format worked very well. Putting everyone on the same track in the same room builds a strong sense of camaraderie. It also gives speakers a much more prominent platform. However, multi-track provides more choices for attendees, and it gives more people the opportunity to speak. Both are good. I think it would be cool if future conferences do both: maybe one day for single-track and another day for multi-track.
I’m going to (attempt to) develop a new Python package. For a while, I’ve wanted to implement a particular testing pattern in a Pythonic way. My goal is to develop and release it to PyPI as an open-source package. I never had the time or clarity to do it until now. PyTexas gave me a huge boost, and I hope I can carry my vision through to delivery!
People matter. The Python community is a truly wonderful group. People come for the language and stay for the community – it’s true. PyTexas 2019 has challenged me to be a better person and to help people through software.
I am a Software Engineer in Test (SET). Many people don’t know quite what that means, though. Developers frequently refer to me as a “tester” or “QA,” and a former director once thought I did DevOps. While my work covers these areas, they aren’t the main focus. Let’s clarify what it means to be a SET.
What is a Software Engineer in Test?
A “Software Engineer in Test” (SET) builds solutions to testing problems. Those problems could include slow feedback, flaky tests, costly runs, poor product quality, lack of communication during development, and more. In some circles, the role is called “Software Development Engineer in Test” (SDET).
Frequently, SETs focus on developing test automation solutions for running tests quickly and repeatedly. Test automation is a software product, after all. Just as front-end developers write web pages and back-end developers write microservices, SETs write automated tests. The same practices and coding skills apply. I frequently say that a Software Engineer in Test must have the heart of a developer.
However, a SET is more than just an automation engineer. SETs also look holistically at quality through the software development lifecycle. They build systems for fast feedback, such as Continuous Integration pipelines and reports. They work with developers and product owners to develop good product designs. They provide tools and frameworks to empower others to cover any testing needs. At times, they may also jump in to help a team with manual and exploratory testing.
So they just write test scripts?
No. Never say this to a SET. Test automation involves much more than just “writing test scripts.” A serious testing solution requires serious design and effort. The top-level automation of a test case is usually just a small piece. SETs are responsible for:
- Collaborating with developers and product owners
- Contributing to planning and design
- Reviewing product code
- Formulating test scenarios
- Developing test automation frameworks
- Automating test scenarios using the frameworks
- Knowing and using design patterns where appropriate
- Setting up the infrastructure to run tests
- Setting up dashboards for reporting test results in real time
- Teaching others good quality and testing practices
- Developing tools to assist manual and exploratory testing
Saying that testing is “just scripting” belittles the role of the SET and underestimates the workload it requires.
How did this role start?
Software “tester” and “QA” roles have existed for decades, but the SET role first became distinct in the 2000s when large-scale test automation became both feasible and necessary. According to Wikipedia, Microsoft coined the title “Software Developer Engineer in Test” (SDET) in 2005, and others like Amazon and Apple quickly adopted it. Google coined the name “Software Engineer in Test” for the same type of role. I personally prefer the SET title over the SDET title simply because it is more concise.
How is it different from “QA” or “testing” roles?
To me, the SET role is distinct from the traditional “QA” or “testing” role. Software testers historically focused on manual testing and thus didn’t need strong programming skills. Their fortes were product domain knowledge, intuition, out-of-the-box thinking, test planning, and test system setup. And these certainly are important, indispensable skills! SETs, however, live in both the development and testing worlds. They use developer skills to provide software solutions for testing problems. Automation is usually much more central to the SET role. Nevertheless, there will always be a need for manual testing because there are some problems a human can catch much more easily than a script (or an AI agent). A traditional tester will be responsible for doing test cases for a team, while a SET builds the solutions to empower other testers and developers to do the testing.
Personally, I avoid using the titles “QA” and “software tester” for myself because they don’t accurately describe all that I do. I also avoid the title “automation engineer” because, again, it is reductionist. I tackle software testing with the heart of a developer, and I set up test automation solutions from the ground up. I’m proud to be a software engineer who specializes in testing.
As a bonus, check out Test and Code episode 47, in which Brian Okken and I discuss what it means to be a Software Engineer in Test (among other topics).
A brief memoir on self-improvement through self-humility.
I learned one of my most important life lessons before my career officially started. From 2007 to 2009, I interned on-and-off for the Rational Business Developer team in IBM’s Software Group. The team was great and let me do everything: development, testing, automation, builds, and even fun Web examples. However, my junior-level experience often made me doubt myself (e.g., imposter syndrome), and there were “known unknowns” by the truckload.
For my own survival, I quickly learned to fearlessly ask questions. This was a big step for a shy guy like me. My team mates were more than happy to help me, which put me at ease. Asking questions was a good thing.
…Until one time, it became a bad thing.
I forget exactly when it happened and what my specific question was, but I do remember the person and the method. I “pinged” (IBM lingo for “send an instant chat message to”) one of the senior developers with a question, and he replied with a link. When I clicked it, the browser loaded Google, moved the cursor, typed my question, and clicked the search button.
He sent me to Let Me Google That For You.
I was horribly embarrassed. It was an introvert’s worst nightmare come true. I never knew about LMGTFY before, and the sarcasm didn’t hit me until after the search was complete. My fledgling confidence was shattered.
I couldn’t tell if the guy:
- Thought lowly of me
- Was annoyed with me
- Was trying to coach me
- Was having a bad day
- Was just a jerk
The reason didn’t matter, though. He made a valid point: the question was Google-able, and I could have searched for an answer myself before asking others. As I picked up the pieces of my confidence, I introspected on how to do better next time. Was it wrong to ask questions? No. It is never wrong to ask questions, and anyone who says otherwise is a jerk. Was it wrong for him to send me to LMGTFY? It certainly was unprofessional and harmful to our team dynamic. But, was there a better way to ask questions? Yes:
When faced with an unknown, pose it as a question. Then, ask yourself the question first before asking others.
How much time do I spend searching for an answer before asking somebody who knows? This is a popular interview question. When using the self-Socratic method, I’d say (a) when the first two pages of Google results yield nothing, (b) when I spend more than 15 minutes absolutely stuck in code (from the time of the last “epiphany”), or (c) when I hit a wisdom- or experience-based question.
I’ve used the self-Socratic method for everything from learning how Web apps work to learning how to cut my lawn. I learned my lesson the tough way, but I’m glad I learned it early!
I also compiled a list of my favorite talks at The Panda’s Dozen: Top PyCon 2018 Talks.
The main reason I went to PyCon 2018 was to deliver a talk entitled “Behavior-Driven Python” about behave, one of Python’s most popular BDD test automation frameworks. One of my major professional goals for 2018 was to speak at a conference – and any conference would do. Fortunately for me, PyCon accepted my proposal, and Piper Companies in Raleigh graciously footed the bill! The video recording for my talk is linked below. It also has a GitHub example project and a companion article. (I’ll write a separate article with links to other talks I enjoyed.)
PyCon 2018 was held in Cleveland, Ohio. I had never been to Cleveland before, and I found the downtown area to be charming. Everything I needed was within walking distance: the Huntington Convention Center where the conference was held, the DoubleTree by Hilton on Lakeside Ave where I stayed, the skyline, the city hall, the Rock and Roll Hall of Fame, the Great Lakes Science Center, and Lake Erie itself.
I flew into Cleveland on the evening of Thursday, May 10. Unfortunately, I missed the opening reception because my Frontier Airlines flight was delayed. (I guess I got what I paid for.) When I arrived, I had only one destination in mind: Great Lakes Brewing Company. Great Lakes has been one of my favorite breweries since I first started drinking craft beer in college. I boarded the Red Line train at the airport and rode it directly to the Ohio City station, where their pub is located. The food and beer did not disappoint!
The First Morning
PyCon 2018 had three major phases: tutorials from May 9-10, talks and events from May 11-13, and sprints from May 14-17. I attended only from May 11-13 for the “main” part of the conference. I really didn’t know what to expect, but I was blown away by what I found.
The first thing I did on the first day was registration. I showed up at about 8am to get my badge and my conference t-shirt. The volunteers also handed me a “swag bag,” pre-populated with a map and some random goodies. Since I had my backpack, I didn’t think I would need an extra bag – boy, was I wrong!
The main conference area was an expo hall full of companies and organizations giving away endless freebies, much to my naive surprise. (This was nothing like the last conference I attended, PyData Carolinas 2016.) The major stalls were Microsoft, Amazon (AWS), Google, Facebook/Instagram, LinkedIn, Anaconda, O’Reilly, and Heroku. Others included the Python Software Foundation, Django Girls, JetBrains, Elasticsearch, ChowNow, Yelp, Patreon, Squarespace, Linode, platform.sh, PostgreSQL, Nylas, DigitalOcean, DataDog, Cactus, Six Feet Up, OfferUp, Twilio, Nexmo, Okta, Pluralsight, Zapier, Bloomberg, Shopify, PyBee, EdgeDB, Anvil, and others I can’t remember. Over the three days of main events, I talked with people at nearly every stall to learn about what they do and to score that dank swag. I walked away with twelve t-shirts, five pairs of socks, laminated Python guides, a JetBrains yo-yo, a Google puzzle, Yelp gloves, a Facebook earbuds case, an OfferUp water bottle, a couple koozies, and a countless number of stickers.
While waiting for the first keynote address, I ran into Kenneth Reitz at the Python Software Foundation table. Kenneth is the original author of requests and pipenv. It was a pleasure to meet him in person. He also interviewed me for his PyCon 2018 podcast! My segment is at 19:11.
I was about to go to the keynote address when I walked by the O’Reilly stall and discovered a book signing: Harry J.W. Percival was scheduled to give away free signed copies of the second edition of his book, Test-Driven Development with Python. I got my “golden ticket,” waited in line, skipped the keynote, and scored that dankest swag of the conference. O’Reilly was giving out other books throughout the conference, but as a Software Engineer in Test, this one was the big kahuna for me. #worthit
My talk, “Behavior-Driven Python,” was scheduled at 12:10pm in Grand Ballroom A. I wasn’t terribly nervous because I had given this sort of talk many times, but I was worried that I would run out of time. Before speakers give their talks, they go to the “green room” where they test projector cables and meet the “runner” who will take them to the auditorium. I got to meet other speakers, which made me feel more comfortable. My talk got off to a delayed start due to some technical difficulties with the projector, but I think it went really well. The ballrooms could each seat several hundred people, and it looked like my talk was fairly well attended. A number of people asked me questions afterwards. Then, I ended up having lunch with a new friend I met named Gabriel, too!
The Rest of Day 1
I spent the rest of the afternoon attending talks, which can be mentally exhausting after too much. However, at the end of the day, I got to spend some sweet time with my dear friend Kennedy from college. Kennedy reached out to me before the conference to let me know that he would be there. I ran into him each day, but we got to spend the most time together sitting outside Ballroom A just catching up on life. We hadn’t seen each other since 2010 at RIT. Kennedy is really getting into software infrastructure and DevOps-like work. It was such a blessing to see him there.
Dinner was another fortuitous blessing. ChowNow invited me to dinner and drinks at TownHall. I met their chief product officer, their engineers, and their recruiters. We talked a lot about test automation. They’re in a very similar situation as my current company, PrecisionLender: a hundred people and growing, realizing their need for automated feature tests, and discovering how hard it is to build an automation solution themselves or find someone who can. They were really great people doing awesome things, and I can’t wait to see them grow.
ChowNow also had a fun giveaway challenge. To enter, one needed to hit a REST API endpoint, which then returned further instructions. It was a bit of a puzzle – I got confused for the first few minutes, but after a hearty facepalm I figured out the challenge and successfully submitted my entry. (Python REPL and requests FTW!) The grand prize was an iPad Pro, but I won the consolation prize of $20 in ChowNow bucks. Not bad.
The Second Day
For me, Day 2 at PyCon was almost entirely about talks. The morning keynotes were really inspiring: Ying Li told a great story modeled after the Wizard of Oz about how everyone plays a part in security, and Qumisha Goss shared how she inspires kids at the Detroit public library to get into coding with Python. There were more talks I wanted to attend than I could. I learned about sloppy Python, developing arcade-style games, statistics on Python users, Appium, and compiler tools.
In the expo hall, my most memorable conversation was at the Python Bytes / Talk Python To Me table. These are major Python podcasts. Julian Sequeira of PyBites told me all about the #100DaysOfCode in Python, which I really want to try so I can learn about things beyond my domain. He then introduced me to Brian Okken, who wrote Python Testing with pytest and runs the Test and Code podcast. We talked quite a bit about testing practices and frameworks. I almost convinced him of BDD’s benefits, and he tried to convince me that unit testing is waste. It was a great conversation, and I really want to learn more about Brian’s pragmatic testing perspective.
That evening, Instagram invited me to dinner. I thought it would be drinks and appetizers at a bar, like with ChowNow. Oh, no, it was … Let me tell the story. Before PyCon started, Instagram invited me to join them for a special dinner. I think they invited me because I was a speaker. Instagram provided promo codes for a free Lyft to Crop Bistro, one of the best restaurants in the city. It resides in an old bank: marble columns and fresco paintings on the walls. When I arrived, the hostess walked me to the back, down the stairs, through the kitchen, and into the bank’s old vault, which had been converted into a private party room. They served a full three-course meal with a full bar, and it was damn good. That ribeye steak… I met a lot of great people, too. I talked with Instagram’s release manager at length about struggles with test automation. I also got to chat with a number of their engineers (many of whom were from China), as well as other Pythonistas who were invited. It was a wonderful event, and I truly thank Instagram for the invitation.
Also, I want to say that the weather in Cleveland was pretty darn cold! Daily temperatures were in the 50s, while at the same time in Raleigh, they were in the 90s. I froze my ears off walking from the hotel to the convention center!
The Third Day
At the Instagram dinner, I met a few guys who help organize Python conferences. They encouraged me to submit proposals to PyGotham and PyOhio. So, when I woke up on Day 3, I did! Hopefully, my proposals will be accepted.
The main event in the morning was the Poster expo / Job Fair. However, since I had already met most of the companies, I spent most of my time at the Rock and Roll Hall of Fame instead. I’m a huge fan of rock music. The museum had awesome exhibits with really cool memorabilia. I even got to vote for new inductees – I voted for Iron Maiden! I headed back to PyCon for the afternoon talks, but then I skipped out of the finale to finish seeing all of the Rock and Roll Hall of Fame exhibits before the museum closed.
My original dinner plan was to visit another local brewery. PyCon was hosting an event dinner at the Great Lakes Science Center, but I didn’t register in time to get a ticket. Nevertheless, my friend Kennedy offered me his meal ticket since he was returning home that afternoon. Hashtag-BLESSED. The museum was so cool. My favorite part was the NASA Glenn Visitor Center – they had one of the Apollo Skylab capsules! Many of us Pythonistas built a really tall tower out of wood blocks that we had to knock down once dinner was ready. The food was excellent, too: steak, salmon, mac ‘n cheese, green beans, and cheesecake for dessert.
My (Delta) direct flight home left on time Monday morning. I could barely fit all the swag into my suitcase! I caught a cold while attending the conference, but thankfully it didn’t take effect until I was back home.
So much happened at PyCon 2018. Even though I was doing stuff nonstop for three days, there was still so much more there to do. It will take me a few weeks to fully process everything. Here were my major takeaways:
I accomplished my goals. Before going to PyCon, I set three major goals for myself: (1) get a pulse on the state and direction of Python, (2) establish rapport in the community, and (3) become inspired to pursue greater work. CHECK! I met a lot of great people who all love using Python. A number of people really enjoyed my talk. I learned how so many groups, from top-tier Silicon Valley companies to local user orgs, are using Python to do cool stuff. There are also now just as many data scientists as web developers using Python. Seeing Python used in so many different domains really inspired me to learn more about those domains in which my knowledge is limited. I feel like I have more work to do after the conference than I did to prepare for it!
The Python community is so welcoming and friendly. When PyCon’s banner says, “For the community, by the community,” it’s true. This conference was about people much more than it was about programming. I was initially afraid that I would be lonely because I didn’t know anyone, but once I got there, everyone was outgoing; even me! Python is a language for everyone from beginners to experts, and there was no sense of elitism whatsoever at the conference. The atmosphere reminded me very much of freshman orientation week at RIT, when total strangers would strike up conversations and bestow well-wishes at every turn.
All companies have major test automation struggles. There is a universal awareness of the need for good testing, but there is also universal struggle to develop reliable feature tests at scale. Knowing that companies like Facebook/Instagram and ChowNow have problems similar to companies where I have worked gives me boosted motivation as a Software Engineer in Test to keep going!
Never write shell scripts. Just write Python scripts. Yes! This came from the “sloppy Python” talk. It’s so true. Shell scripting is so low-level and often unreadable. Plus, Python is cross-platform!
Prep for PyCon 2019! I want to return to PyCon very much. Next year, I have a better understanding of the talks, so I can make better proposals. I’ll also check out the open spaces and lightning talks. PyCon 2019 will be back in Cleveland, too!
I feel like I have so much more to learn! Here’s what’s next for me:
- Watch videos for all the talks I missed.
- Come up with a personal professional development plan.
- Take the 100 Days of Coding challenge course.
- Learn about Flask, Arcade, and Pyre.
- Read more books about software testing.
- Look into data science, machine learning, containers, and security with testing.
- Develop more content for a blog.
- Write my own book(s) about software testing.
- Start speaking at more conferences!