Delivering things – from code to product
I recently visited USA(California) and I want to share some observations about language
Just a reminder - I'm not a native speaker but grew up on American English, thanks to videos, forums, music and podcasts. Nevertheless I'm living in UK and as you can guess English here is a bit different.
During the trip I collected short list of different words which are common in American but not in British English:
I had my first talk at Kotlin London meetup #2 about writing safe code.
While I was finishing wireless scanner and printer server I realised that traditional document scanning approach is not so nice from UX point of view.
I really like the way office scanners in multi-functional devices work. Normally if you want to scan you just load stack of paper into and put your email address. Scanner does the rest and in minute you'll get ready-to-use pdf file in your inbox.
I was thinking about having button attached to RPI Zero which initiates scanning and document upload.
I had to make old printer and scanner wirelessly available over local network. It can be done using wireless printer USB adapter but it's not that cheap and still doesn't support scanner
Obvious choose is using Raspberry PI with linux installed. Before I heard a lot about RPI Zero but could never believe that it costs just £5. Actually it is just £5 and +£2.5 delivery fee. Surprisingly there are no other options except of first class delivery!
Long story short, I put here main steps how to setup print and scan servers on small Raspberry PI Zero:
✔ Upgrade RPI software
To access most recent features and freshly created bugs make sure you use most recent version of RPI firmware. To do so run sudo apt-get dist-upgrade.
✔ Static IP
Assign static IP for your raspberry. The easiest way is configure your router DHCP server. Just bind mac address to nice IP in your network, like 192.168.100.100, later in this post I
✔ Reduce graphic memory fraction
If you aren't going to use video how to
Let's say we have nice a line built up of two damped oscillators as it displayed on the picture.
What if I say it's possible to predict 700 values of this line using just:
Do you prefer to use warm, quiet, spacious bus? Me too
Every time I'm leaving home I have to get updates about time when next busses come to my bus stop. For that reason I literally keep TFL tab open all the time in my mobile
I've got freelance job to write Alexa Skill so I decided to play around with pet project. It's London Bus Stop - custom Alexa Skill which helps user to get information about busses coming to saved bus stop.
2016 год вышел сложным и судя по всему не только у меня. Вообще в конце года появился какой то тренд в этих ваших интернетах собирать что было плохого в уходящем году. Но какие-то позитивные итоги подвести все таки надо - еще один год позади как никак
Шутка для нердов про сложный 2016 год:
В феврале этого года я взялся за испанский с помощью duolingo. Если кто то вдруг не знает - это сервис для изучения языков. Я бы сказал он именно для
Помимо этого на дуо очень забавные фразы и дискуссии, читатели моего твиттера наверное уже устали от скриншотов с дурацими фразами в духе "My sister thinks she is normal, but I do not / Mi hermana pequeña piensa que es normal, pero yo no" - зато очень легко запоминается
Recently I'm interested in ML in terms of trading and I found course on Udacity platform which dedicated exactly for this topic.
Course structured as 3 big chunks:
1) Data reading and normalisation, vector algebra, regression using python(numpy, pandas) - mostly practice-focused
2) Market mechanics is for whom like me who doesn't know anything how trading works. Module covers market data and some market indicators like Daily Return, Moving Average, Bollinger Bands, etc. It's less practical but it's still possible to code all formulas provided
3) Machine Learning overview. This module mostly about ML approaches, mostly focused on Q-Learning. It's mostly theoretical, hence you have to go deep into details of implementation yourself. But yet it gives you sense of variety of options you've got.
I'm still exploring the new world of machine learning.
Recently I discovered few interesting things about it:
Hence, I started experimenting with it. First of them was Prisma-like chat bot for Facebook which uses open source implementation of neural style transfer algorithm. Then I made AI-powered visa sponsored job search engine which discovers companies' websites and walk over job listings to extract vacancies. It uses CNN for binary classification to recognise job listings.