This is the most reliable of all the podcasts I’ve listened to and a new episode is posted every weekday.

It sweeps across lots of different areas of technology - there’s a bit of software development, a bit of data engineering, and a bit of infrastructure.

Every now and then there’s a focus on a particular topic area or company which I find really interesting e.g. in 2015 there was a week of Bitcoin focused episodes and more recently there’s been a bunch of episodes about Stripe.

This one is more of a data science postcast and cover lots of different areas in that space but thankfully keep the conversation at a level that a non data scientist like me can understand.

I especially liked the post US election episode where they talked about the problems with polling and how most election predictions had ended up being wrong.

There’s roughly one new episode a week.

I didn’t know anything about bots before i listened to this podcast and it was quite addictive - i powered through all the episodes in a few weeks.

They cover all sorts of topics that I’d have never thought of - why have developers got interested in bots? How do UIs differ to ones in apps? How do users find out about bots?

I really enjoy listening to this one but it’s been a bit quiet recently.

I found this one really useful for getting the hang of infrastructure topics. I wanted to learn a bit more about Kubernetes a few months ago and they had an episode which gives an overview as well as more detailed episodes.

One neat feature of this podcast is that after each part of an interview the hosts summarise what they picked up from that segment. I like that it gives you a few seconds to think about what you picked up and whether it matches the summary.

Some of the episodes go really deep into specific infrastructure topics and I struggle to follow along but there are enough other ones to keep me happy.

This one mirrors the journey of Renee Teate getting into data science and bringing everyone along on the journey.

Each episode is paired with a learning exercises for the listener to try and although any of the learning exercises yet I like how some interviews are structured around them. e.g. Sebastien Rashka was interviewed about model accuracy on the week that was being explored in the learning club.

If you’re interested in data science topics but aren’t a data scientist yourself this is a good one to listen to.

This one mostly goes well over my head but it’s still interesting to listen to other people talk about stuff they’re working on.

There’s a lot of focus on Deep Learning so i think i need to learn a bit more about that and then the episodes will make more sense.

The last episode with Evan Wright was much more accessible. I need more like that one!

I came across Edaena Salinas on Software Engineering Daily and didn’t initially realise that Edaena had a podcast until a couple of weeks ago.

There’s lots of interesting content on this one. The episodes on data driven marketing and unconscious bias are my favourites of the ones I’ve listened to so far.

I listened to a few shows about bitcoin on Software Engineering Daily and found this podcast while trying to learn more.

Some of the episodes are general enough that i can follow along but others use a lot of block chain specific terminology that leave me feeling a bit lost.

I especially liked the episode that featured Greg Walker of learnmeabitcoin fame. Greg uses Neo4j as part of the website and presented at the London Neo4j meetup earlier this week.

This one has a chat based format that I really. They have a cool section called 'free software Friday' at the end of each show where everybody calls out a piece of software or maintainer that they’re grateful for.

I was playing around with Go in November/December last year so it was really helpful in pointing me in the right direction. I haven’t done any stuff recently so it’s more a general interest show for now.

This one covers lots of different topics, mostly around different open source projects.

The really cool thing about this one is they get every guest to explain their 'origin story' i.e. how did they get into software and what was their path to the current job. The interview with Nathan Sobo about Atom was particularly good in this respect.

It’s always interesting to hear how other people got started and contrast it with my own experiences.

Another cool feature of this podcast is that they sometimes have episodes where they interview people at open source conferences.

That’s all for now. Hopefully there’s one or more in there that you haven’t listened to before.

If you’ve got any suggestions for other ones I should listen to let me know in the comments or send me a message on twitter @markhneedham