Sample Explanatory Essay Color Code and Re-write

Your name Troilo Ms. English II Honorific Period # 2 February 2016 Interpret article sample color code and paragraph rewrite instructions: Below is an explanatory explanation corresponding to Malala / Clinton's presentation and writing tips This is an explanation article. Please read it yourself. Is this a good article? Is the fragment missing? To answer these questions, find the article and show it in bold. Next, colorize the sentences in the 2nd and 3rd rows with the following color coding keys. Change the color of the font to reflect the type of sentence in the paragraph. The first text paragraph is an example for you. The first body paragraph has all the elements of a powerful paragraph. Do all the second and third body segments contain the same elements? After color coding, select the weakest subject paragraph, copy and paste it under the heading "paragraph rewrite" of the article, and write a more powerful paragraph by writing the missing components . Is there a proper evidence launcher? Do you analyze sentences? Please add them. You will get scores for color coding and paragraph rewriting. Once you have completed both, save the document and upload it to Edmodo's job. Color-coded keywords: sentences of the main meaning - the beginning of the blue evidence text - the orange evidence text - the red analysis sentence 1 (paraphrase) - the light green analysis sentence 2 - 3 (citation method of the main idea of ​​the proof) - Dark green evidence - Analyze red sentence 1 (paraphrased reference) - Light green analysis 2-3 (how to quote the proof points) - dark green summary text - a summary to the United Nations According to Malala Yousafzai and Hillary Clinton, the blue prompt explains the conditions necessary for the sustained peace and security The speech is worldwide. Sample papers around the world have several problems that impede the lives of people living in peace with each other. Pakistani actress Malala Yousafzai, Pakistani Hillary Clinton

Next, create small test cases and step through the code (instead of the algorithm) using these sample inputs. When you read their thoughts, the interviewer will like it. What they do after they finish coding normally is to let you write a test. This is a big advantage if you write even tests for your code before prompting you to do so. When stepping through the code, you need to simulate the debugger. When you look through the code to the interviewer, write down the values ​​of specific variables or tell them their values.

If it is fun to write new code, the code annotation is a troublesome task most of us do not want to do. In the ideal world, the code is very self explanatory, so no comment is needed. However, it may be necessary to clarify the purpose of the code. It makes code maintenance easier and facilitates project collaboration. Regardless of how it looks, good code also means a good review. Therefore, the time required to comment on the code should be included in the total development time.

Unnecessary details are displayed in comments during the development process. If you require explanatory comments in your code so that the next developer can understand that code may not be that good. The organization of semantically named variables, grouping constants, files in an intuitively named directory is a way for developers to use forms and content to make code self-explanatory It is only a part. However, despite the similarities there is a fundamentally big difference. The value of the code rises with its "general" level. Special "universal" things, and all esoteric things understood by all developers are removed. There is nothing unpaid. Everything is as efficient, scalable, and reusable. Because the code does not belong to anyone, the author 's self has disappeared. When released to the open source community, it is forked, maintained, expanded, disgusting.

How can you make the Kovas code obvious? Well, for a person, he must explain to himself. For this purpose, he did a lot of small experiments. For a while, the Kovas code draws only a few pixels on the screen. When he has this, he can move on to the next and move on. You should be able to see how Kovas wrote each part and integrate it into the growing code base. But seeing is not enough. Following the Kovas breadcrumb and re-experiencing his insights, Kovas finds that he knows one or two tricks we do not know. In order to understand how the code works, we must be able to run our own experiments. This means you edit the Kovas code to see how the changes affect the results.