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What do you do if your algorithms are causing you stress?

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Algorithms are a fundamental aspect of computer science and programming, involving a set of instructions designed to perform a specific task. When you're deep into the world of algorithms, it's not uncommon to feel overwhelmed or stressed, especially when they don't work as intended. The complexity of debugging and optimizing algorithms can be daunting, but there are strategies to help manage the stress they can cause. In this article, we'll explore practical steps you can take to alleviate the tension and improve your relationship with algorithmic challenges.

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Ali Ismail

Staff Software Engineer

1 Identify Issues

When an algorithm is causing stress, the first step is to identify the specific issues at hand. Is the algorithm not performing optimally, or is it producing incorrect results? Maybe it's too complex, making it difficult to understand and maintain. By pinpointing the exact problems, you can begin to tackle them methodically. Break down the algorithm into smaller parts and examine each one to understand where things might be going wrong. This approach not only simplifies the problem but can also make it feel more manageable, reducing stress.

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Ali Ismail

Staff Software Engineer
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Here's some ways to sniff out a smelly algo Why: Getting clear on why something is there in the first place, at a fundamental level, can open doors to new approaches. What: Getting clear on what the definition of done is insightful on finding different solutions for each approach How: Industry proven solutions exist such as design design patterns. If the algo can be broken down into smaller, more commonly known problems, you can leverage design patterns and modify the approach as needed.

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2 Simplify Code

If your algorithm is too complex, it may be time to simplify your code. Look for parts of the algorithm that are unnecessarily complicated and see if there are more straightforward solutions. Refactoring your code to be cleaner and more efficient can often reveal hidden bugs or make it easier to spot where things are going wrong. Remember, simpler code is easier to debug, understand, and maintain, which can significantly reduce your stress levels.

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Ali Ismail

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Overly complex code is usually an opportunity to implement a design principle. The most basic ones are the following two: - DRY (Don't Repeat Yourself), can you reduce redundancy by encapsulating logic and calling it elsewhere? - SRP (Single Responsibility Principle), can you modularize and decouple logic to make the code more cohesive?

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3 Take Breaks

Continuous work on a challenging algorithm can lead to burnout and increased stress. It's important to take regular breaks to clear your mind and return with a fresh perspective. Short breaks every hour or so can prevent fatigue and help you stay focused. During these breaks, engage in activities that relax you, such as taking a walk, meditating, or even discussing the problem with a colleague. Sometimes stepping away from the problem for a short while can lead to a breakthrough upon your return.

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4 Seek Help

There's no shame in seeking help when an algorithm has you stumped. Reach out to peers, mentors, or online communities for assistance. Explaining the problem to someone else can often help you see it in a new light and may lead to solutions you hadn't considered. Collaboration can also reduce the emotional burden of tackling a complex problem alone, making the process less stressful.

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5 Optimize Gradually

When optimizing an algorithm, it's easy to get caught up in attempting to make it perfect all at once, which can be overwhelming. Instead, focus on making gradual improvements. Start by addressing the most critical performance bottlenecks and work your way through the less significant ones. Incremental optimization can be less stressful than a complete overhaul and allows you to measure progress more effectively.

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Ali Ismail

Staff Software Engineer
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Bite Size Approach: Solve part of the problem, even if it is in the least sophisticated way possible. This allows you to have something down to revise and improve upon and work in iterations & increments. Once you have something down, one way to optimize is to consider a different approach and weight the pros and cons. Sometimes it requires testing to validate a hypothesis of what would be more efficient (both for maintaining code as well as performance)

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6 Reflect & Learn

Finally, use your experience with stressful algorithms as a learning opportunity. Reflect on what caused the stress and how you addressed it. Did certain strategies work better than others? What could you do differently next time? By reflecting on your experiences, you turn challenges into valuable lessons that can help you grow as a programmer and reduce future stress.

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7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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What do you do if your algorithms are causing you stress?

1

2

3

4

5

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7

1 Identify Issues

2 Simplify Code

3 Take Breaks

4 Seek Help

5 Optimize Gradually

6 Reflect & Learn

7 Here’s what else to consider

Algorithms

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What do you do if your algorithms are causing you stress?

1

2

3

4

5

6

7

1 Identify Issues

2 Simplify Code

3 Take Breaks

4 Seek Help

5 Optimize Gradually

6 Reflect & Learn

7 Here’s what else to consider

Algorithms

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