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The Science of Solving Coding Challenges:
- This article outlines a scientific approach to solving coding challenges in three phases - before, during, and after, to maximize learning at each stage.
- Choosing the right coding challenge is crucial, just like selecting the right weight at the gym - it should challenge you without overwhelming you.
- Sketching out your approach before coding can reduce cognitive load by breaking the problem into manageable pieces.
- Chunking a problem into smaller parts through planning helps organize thoughts effectively, making it easier to work on implementation.
- Engaging in deliberate practice by pushing boundaries with challenging work accelerates skill-building more effectively than casual coding.
- Reflective practice and spaced repetition enhance long-term retention and understanding of problem-solving approaches.
- Effective problem-solvers manage cognitive load to avoid overwhelm, enhancing problem-solving efficiency.
- Taking breaks during difficult problems can lead to the 'incubation effect,' where the subconscious mind continues processing in the background.
- Persistence and a growth mindset, believing in continuous improvement through dedication and hard work, are key to mastering coding challenges.
- Mastering a systematic approach to problem-solving transforms each challenge into a skill development opportunity.
- Approaching coding challenges methodically, reflecting on experiences, and engaging in deliberate practice leads to deeper learning and efficient problem-solving.
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