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Are you sold on the idea of a smart ring but hesitant to commit to a costly device with a monthly fee?
Are you looking for a tablet that delivers flagship power without the eye-watering cost?
In the world of tablets, finding a great device on a tight budget can be a challenge.
Xiaomi's Smart Band series has long dominated the budget wearable market, and the new Xiaomi Smart Band 10 aims to continue that legacy.
Are you searching for the ultimate gaming phone that delivers top-tier performance without the steep pro price tag?
When looking for a new smartphone, the mid-range market is fiercely competitive.
Sometimes you want to give your Python script information right when you run it from the terminal, without waiting for it to ask for input.
If you're learning to code, you'll almost certainly encounter the FizzBuzz problem.
Do you remember the Pythagorean Theorem from math class?
When your Python program doesn't work as expected, it's because of a bug, or an error.
What happens when your program encounters an error, like a user entering text instead of a number, or trying to open a file that doesn't exist?
Imagine you have a list of phone numbers, but instead of accessing them by a numeric index like 0 or 1, you want to look them up by a person's name.
What if you could solve a big problem by solving a smaller, identical version of the same problem?
So far, your programs have probably read input from the keyboard and displayed output on the screen.
As your programs get bigger, you'll find yourself repeating the same blocks of code.
A function that does the exact same thing every time is useful, but a function that can be customized each time you call it is even better.
So far, you may have used variables to store single values like a number or a string.
Python's lists are powerful, but their true flexibility comes from the built-in methods you can use to manipulate them.
It's completely normal to make mistakes when you're programming—everyone does!
What if you want your program to do different things based on different conditions?
Your code often needs to choose between more than just two options.
Imagine you need to perform the same task 100 times.
Are you just starting your journey with Python and wondering how to store information?
One of the most fundamental parts of programming is interacting with the user.
In Python, a sequence of characters is called a string.
Have you ever tried to print a mix of text and variable values and ended up with messy code?
Most of the digital security we rely on today is based on a simple but powerful mathematical idea: while it is easy to multiply two very large prime numbers together, it is practically impossible for a classical computer to reverse the process and find those original prime factors.
Imagine a simple problem: you are given a black box, or oracle, containing a function $f$ that takes a single bit as input and returns a single bit as output.
What if you wanted to scale up the problem from Deutsch's algorithm?
In this Quantum Computing: From Concepts to Code's chapter, we'll solve a new type of promise problem using a circuit that looks exactly like the one we used for the Deutsch-Jozsa algorithm.
Imagine a bizarre promise oracle that contains a secret bitstring, $s$, of length $n$.