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Also high performance, that set you apart from the competition.

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01

High Quality Hardware

We use top-notch hardware to develop the most efficient apps for our customers.

02

Dedicated 24\7 Support

You can rely on our 24/7 tech support that will gladly solve any app issue you may have.

03

30-Day Money-back Guarantee

If you are not satisfied with our apps, we will return your money in the first 30 days.

04

Agile and Fast
Working Style

This type of approach to our work helps our specialists to quickly develop better apps.

05

Some Apps are Free

We also develop free apps that can be downloaded online without any payments.

06

High Level of Usability

All our products have high usability allowing users to easily operate the apps.

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Years Of Experience
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Аpps
Developed
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Consultans
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Meet The Team

Ryan Wilson
SEO & Founder
Jill Peterson
Sam Robinson
Team Lead

As an entrepreneur, the support I was offered was of high quality. I will not hesitate to call on them again in the future.

Jill Peterson
Regular client

As an entrepreneur, the support I was offered was of high quality. I will not hesitate to call.

Sam Robinson
Regular client

As an entrepreneur, the support I was offered was of high quality.

Ryan Wilson
Regular client
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Whenever I’m TA for a introductory CS class where students learn some programming language, I have trouble coming up with good exercises. Problems from Project Euler and the like are usually much too difficult for beginners, especially if they don’t have a strong background in mathematics.

This page is a collection of progressively more difficult exercises that are suitable for people who just started learning. It will be extended as I come up with new exercises. Except for the GUI questions, exercises are generally algorithmic and should be solvable without learning any libraries. The difficulty of the exercises of course somewhat depends on the programming language you use. The List exercises for example are more complicated in languages like C that don’t have build-in support for lists.

This is why you should try to test each sub task you identified during your task-breakdown by itself. Only after you’re confident that each part works as you expect you can attempt to plug them together. Make sure you test the complete program as well, errors can creep in in the way the different parts interact. You should try to automate your tests. The easier it is to test your program, the freer you are in experimenting with changes.

Benefits Of ASync/Await In Programming

Learning to program means learning how to solve problems using code. Conceptually it is not very difficult to write a program that solves a problem that you can solve yourself. The skill you need to acquire is thinking very precisely about how you solve the problem and breaking it down into steps that are so simple that a computer can execute them. I encourage you to first solve a few instances of a problem by hand and think about what you did to find the solution. For example if the task is sorting lists, sort some short lists yourself.

A reasonable method would be to find the smallest element, write it down and cross it out of the original list and repeat this process until you have sorted the whole list. Then you have to teach the computer 1) how to find the smallest element, 2) how to write it down, 3) how to cross it out, and wrap this in a loop. Then continue this task breakdown process until you’re confident you know how to write the necessary program.

ASync/Await In Programming

To make good progress in your programming task, you need to test your work as early and as thoroughly as possible. Everybody makes mistakes while programming and finding mistakes in programs consumes a very large part of a programmer’s work-day. Finding a problem in a small and easy piece of code is much simpler than trying to spot it in a large program.

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To make good progress in your programming task, you need to test your work as early and as thoroughly as possible. Everybody makes mistakes while programming and finding mistakes in programs consumes a very large part of a programmer’s work-day. Finding a problem in a small and easy piece of code is much simpler than trying to spot it in a large program.

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