100 Days of Hobby

 Today marks the 100th day of me doing my hobbystreak and I thought it would be fun to spend my hobbystreak time today to reflect on what I've done over the past 100 days to see what I've achieved.

 As a quick recap of my hobbystreak, the concept is pretty straightforward: spend at least 30 minutes a day on my hobby and tweet about it. The idea being that it would help me focus to complete some the projects that I have always wanted to do but never "made the time for".

 Over the past 100 days I have:

Overall I'm really happy with how the past 100 days of my hobbystreak have gone and I can really see the benefit of spending just 30 minutes a day on something - it soon adds up. I'm definitely going to carry my hobbystreak on into the future.

The End

Comments

Post a Comment

Popular posts from this blog

My First Year as a Data Scientist

Image
I was very fortunate to be given the opportunity by my employer to change role from a full-stack software developer to data scientist with the in-house Data Team. I've now spent over a year in this new data science role and thoroughly enjoy the different challenges it brings over software development. I wanted to write this blog post to firstly help me reflect on what I've been doing over the past year: what changes I had to undergo, what I did well, what I could improve on. And, secondly to help others in a similar situation to me - either thinking about transitioning or already transitioning by writing about some of the pitfalls and challenges I've had. Before I start, to elaborate on my background a little bit more: I haven't always been a software developer. I have completed both a Masters and PhD in Computer Science. So I didn't go into the move completely blind, I did have some previous experience of tools, models and methodologies to rely on. But I have a...
Read more

PIVOT and UNPIVOT in T-SQL

Image
I recently passed my 70-761 Querying Data with Transact-SQL exam as part of mt revision I created the following diagram to help me remember how PIVOT and UNPIVOT work. I thought it would be good to share. For completeness, the following gives the syntax to use when using PIVOT and UNPIVOT. WITH PivotData AS ( SELECT <grouping column> , <spreading column> , <aggregation column> FROM <source table> ) SELECT <grouping column>, <distinct spreading values> FROM PivotData PIVOT (<aggregation function>(<aggregation column>) FOR <spreading column> IN <distinct spreading values>)); SELECT <grouping column>, <target names column>, <target values column> FROM <pivoted source table> UNPIVOT(<target values column> FOR <target names column> IN (<distinct spreading values>)); The End
Read more

My First Retro

Introduction A few days ago the opportunity came up for me to run a sprint retrospective for our sprint team. So I took the chance to try my hand at doing something a bit different. To give a quick bit of background to our sprint team. We have been trying to adopt agile practices for a while now but for one reason and another we have been quite slow in adoption of all the sprint practices we want to use. As such even though we have been "using agile" for over a year now, we have only had one sprint retro prior to the one I volunteered to run. Before I hosted the retro I read up (probably reading the same articles that everyone else reads after googling "sprint retrospective") and got the usual things about you cover "what we should start doing", "what we should stop doing" and "what we should continue doing". Rather than this being a rehash of these articles I wanted to talk about something different - the actual practicalities of...
Read more