Learn essential coding patterns to answer problems and prepare for tech companies' interviews.

Ace the JavaScript Coding Interview

This module teaches us the underlying patterns behind common coding interview questions. By learning these essential patterns, we'll be able to unpack and answer any problem the right way—just by assessing the problem statement. This approach was created by FAANG hiring managers to help us prepare for the typical rounds of interviews at major tech companies like Apple, Google, Meta, Microsoft, and Amazon.

By the end of this module, we'll have the skills we need to unlock even the most challenging questions, grok the coding interview, and level up our career with confidence.

Coding Interview Patterns

# Statement

A network of `n` nodes labeled $1$ to $n$ is provided along with a list of travel times for directed edges represented as $times[i]=(x_i​, \space y_i, \space t_i​)$, where $x_i$​ is the source node, $y_i$​ is the target node, and $t_i$​ is the delay time from the source node to the target node.

Considering we have a starting node, `k`, we have to determine the minimum time required for all the remaining $n - 1$ nodes to receive the signal. Return $-1$ if it's not possible for all $n - 1$ nodes to receive the signal.

**Constraints:**

- $1 \leq$ `k` $\leq$ `n` $\leq$ $100$
- $1 \leq$ `times.length` $\leq$ $6000$
- `times[i].length` $== 3$
- $1 \leq x, y \leq$ `n`
- $x$ $!=$ $y$
- $0 \leq t \leq 100$
- Unique pairs of $(x, y)$, which means that there should be no multiple edges

# Examples
 

Try to solve the Network Delay Time problem.