糖心vlog官网观看

In 鈥淧ython Debugging: A Systematic Approach,鈥� you will develop essential coding skills for data science, focusing on writing, testing, and debugging code. You will learn foundational Python concepts, such as looping, control structures, variables, and basic debugging techniques. You will also learn how a structured debugging procedure can help you debug more effectively and efficiently. Throughout the course, you鈥檒l practice essential programming concepts such as map, filter, and list comprehension. You鈥檒l learn how to take a systematic approach to debugging with the OILER framework 鈥� Orient, Investigate, Locate, Experiment, and Reflect 鈥� allowing you to spot errors more easily and adjust your code. In addition to frameworks to help you improve your code, you鈥檒l explore how documentation, internet resources, and even large language models (LLMs) can help you identify and fix errors. By the end of this course, you should feel confident in your abilities to write clean, efficient, and reusable code. This is the first course in the four-course series, 鈥淒ata-Oriented Python Programming and Debugging,鈥� where you鈥檒l work to strengthen your programming capabilities and enhance your problem-solving skills.