• Worked on the development of almost all modules of our enterprise management system in one way or another (“Document Management”, “Budgeting”, “Contract Management”, etc.)
• Developed and improved the system’s base classes and components
• Developed tools for automating debugging, testing and other operations
• Set up and maintained a part of the development infrastructure
• Migrated the project to new components, IDE versions, and version control system
• Presented at a Young Specialists competition, where I showed off our team’s work on budgeting automation and took first prize.

The time has come to move on. Since October fifth, I’ve been working at the Moscow branch of MegaFon, where I’m developing a portal using Django/Oracle, statistics collection systems, and a number of other tasks.

To use it, you don’t need anything except virtualenv and pip themselves.

I liked the course. I originally signed up because I wanted to use machine learning in a couple of my projects. Now I have a better understanding of what can be done with machine learning and what kind of results to expect.

Another impression that first arose from a university artificial intelligence course, and which repeated itself now — I’m surprised at how simple and understandable the ideas behind these algorithms are, backed by mathematical foundations. Take gradient descent, for example — that’s covered in the first year of university!

But now the task is to make a website, preferably from scratch. Accordingly, I’ll have to come up with a design, do the layout, whip up something in JS, and code the server part, albeit a simple one.

Today let’s talk about work tools. As it happens, a programmer’s main tool is a text editor. Sure, there are IDEs of varying degrees of sophistication that provide lots of different functionality, can work with plugins, and allow you to change the environment beyond recognition through extensions. But the most powerful IDEs still remain, at their core, text editors wrapped with additional functionality.