Python Intro

Station 1: Constructing Code

Through this part of learning, I learned how to construct code. I went from the initial basic theoretical knowledge of programming to the initial mastery of how to calculate simple geometric problems in mathematics by constructing code. Through real code construction exercises, I can master the knowledge better and faster, and know when to use quotation marks, when to use commas, and when to use brackets. # comments can also help me sort out my thoughts better and reduce the possibility of code errors.

Conducting code reviews and drawing Trace Table have been very helpful in my learning. Analyzing the code line by line has made me more aware of the logic and execution order of the program. Recording the changes of variables in the tracking sheet makes it easier for me to understand how loops and conditional statements work. This detailed analysis can also help me find logical errors and improve my debugging skills. In short, this process has deepened my understanding of programming and improved my problem-solving skills.

Completing this part of the study helped me in many ways. First, when filling in the missing code for each program independently, I needed to think carefully about the logic and function of each line of code, which improved my programming thinking ability. Second, by testing the code on Repl.it, I was able to immediately see if my code ran correctly, and find and correct errors in time. This feedback loop gave me a clearer understanding of the debugging process in programming. Through this hands-on practice, I not only consolidated my existing knowledge, but also learned how to find solutions when the code did not work. Overall, this process gave me a deeper understanding of programming and improved my practical operation and ability to find and correct erroneous code.

When building the code for Station #1, I adopted the IPO (Input-Process-Output) model as a strategy, which helped me organize my thoughts effectively and ensure the correctness of the code. First, I carefully read the requirements of the question to ensure that I understood what I wanted to achieve. Next, I reviewed my previous programming knowledge, especially the relevant syntax and logic. After completing the code, I analyzed the existing code line by line, identified the function of each part, and checked if there were any missing code snippets. In order to clarify my thoughts, I wrote pseudocode, which allowed me to simplify the logic and clarify the intention of each step. At the same time, I drew a flowchart so that I could intuitively see the relationship between input, processing, and output. The reason for adopting this strategy is that the IPO model provides a clear structure, while the pseudocode and flowchart help me better understand and organize the code logic, ensure that each code snippet can be placed in the right place, and finally smoothly build a program with clear logic and complete functions.

I determined where the missing code was by analyzing the code line by line and understanding the relationships between the various parts. I first identified the main logic of the program and then speculated on the functionality of each missing part. In this process, I combined my prior knowledge and considered how each code snippet interacted with the other parts. In addition, using pseudocode helped me clearly visualize the flow of the entire program, making it easier for me to judge where each code snippet should be placed.

Through this systematic approach, I not only successfully built a complete code, but also deepened my understanding of programming logic. This process made me realize that programming is not just a simple piece of code, but also requires in-depth analysis of problems and the development of clear solutions. In addition, discussing and sharing ideas with peers also enhanced my learning experience and enabled me to look at problems from different perspectives.

There are several strategies and techniques that have been very helpful to me when tracing code in Station #2. First, I adopted a line-by-line analysis method to carefully examine the role and execution order of each line of code. This method allowed me to clearly understand the logic of the program and helped me identify the changes in variables. In addition, I used a trace table to record the variable values ​​and status after each execution, which made it easier for me to see the program's running process and results. Combined with the use of comments, I was able to annotate key logic in the code and also allowed me to understand the intent of the code more quickly.

I think code tracing is an important skill because it helps programmers quickly locate errors and optimize code. By understanding the execution process of the program, programmers can identify logical flaws. In addition, code tracing also enhances the ability to understand the code, allowing me to modify and expand it more confidently when faced with complex programs. Overall, mastering code tracing techniques has not only improved my debugging ability, but also made me more efficient in finding vulnerabilities.