You can do anything with function and the tricks related to functions are just endless. If you like functional or any ot

The downsides are a dependency on Internet access and a potential lack of privacy. Internet access is almost ubiquitous, even on aeroplanes, but privacy is a potential problem. I don’t want the original RAW files somehow ending up on the public Internet. That’s unlikely, but it only has to happen once.

A switch flipped in my head this year, and I once again felt the need to share my work. It was time to liberate my images from their dungeons on my desktop’s hard disks, and perhaps have more ambition.

Having the machine learning engine in the cloud also means that you benefit from the latest and best algorithms. You can forget about having to download new software versions since that just magically happens.

This is the basis of any language. Learning how things work step by step will allow you to put together simple to complex algorithms that will allow you to create more complex programs.

At some point you will need to make requests and dealing with data fetched over the network is an essential skill especially now that data is a huge part of any application.

Knowing your way around using the fetch or XHR API will come in handy but you are not limited to native APIs like these. The goal is to know your way around data fetching over the network in your application.

Everyone seems to have a cloud, but I only considered Google’s and Apple’s because I’ve used products and services from both for years. Here’s my shopping list of features:

Knowing your way around using the fetch or XHR API will come in handy but you are not limited to native APIs like these. The goal is to know your way around data fetching over the network in your application.

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go to improve my parenting, just as every parent does, and every parent will, but that’s because the day I became a mother I reckoned I would be a mother until the day I die. I can work at being a better mother if I want to. And I want to.

I explored new ways of working and discovered the capabilities of services such as Apple and Google Photos. After a few bumps in the road, I have my images (more or less) online, and I’m rediscovering past adventures in Australia, New York, Beijing, Vancouver and more.

Control flow is understanding how things are executed step by step and how it affects the structure. It will help you debug and understand any application quickly even if you did not write it.

My old, reliable workflow was not fit for purpose. I had over 105,000 images scattered over multiple disks, taking up 4 TB of storage. Searching through lists of images filed by date wasn’t going to get me anywhere fast.

I’m an exclusive contributor to iStock/Getty (link in bio), very active until 2010, but then my contributions slowed to a trickle. The photographs kept stacking up, but for reasons I still don’t fully understand, I kept those images to myself.

On the face of it, Google’s Al search seems better. Its AI lives in the cloud, so it benefits from global machine learning. Its algorithms learn from everyone’s (anonymised) content, not just mine.

Read this if you want to know how I moved all those photos on to the cloud and designed a new workflow to resuscitate my photography. I’m excited about sharing my photos for the first time in years. I’m discovering new things about my photography every day.