Efficiency in Coding

Whittling down code using lambdas for each line helps in understanding and efficiency. Using temporary parameters within lambdas for chaining in data frames is crucial. Commenting out lines to check intermediate values may be less computationally efficient but aids human understanding. Python is valued for prioritizing human efficiency over computational efficiency due to the cost of people's time and resources.