Python clean text5/19/2023 ![]() Patterns for writing clean code in Python Let’s learn about them in the next section. In this article, we would look at some design patterns that help us to write clean code in Python. And this, therefore, is the caveat for writing clean code. However, bad code can lead to technical debt which can have severe consequences on the company. Well, a developer is free to write their code however they please because there is no fixed or binding rule to compel him/her to write clean code. That is it can easily be read and enhanced by other developers. According to Grady Booch, author of Object-Oriented Analysis and Design with Applications: clean code reads like well-written prose.Ĥ. Clean code is easy to read and reason about. Each function, class, or module should do one thing and do it well.Ģ. Clean code does one thing well.”įrom the quote we can pick some of the qualities of clean code:ġ. The logic should be straightforward to make it hard for bugs to hide, the dependencies minimal to ease maintenance, error handling complete according to an articulated strategy, and performance close to optimal so as not to tempt people to make the code messy with unprincipled optimizations. “I like my code to be elegant and efficient. This quote from Bjarne Stroustrup, inventor of the C++ programming language clearly explains what clean code means: Tokens less than one character long should be omitted from the output file Here is an example raw text file, and the clean text file that should be produced if the raw text were supplied to your algorithm Raw text This is the first sentence in the file.Python is one of the most elegant and clean programming languages, yet having a beautiful and clean syntax is not the same as writing clean code.ĭevelopers still need to learn Python best practices and design patterns to write clean code. All tokens in a sentence should be separated by a space 4. Sentences should be written in the order they occurred within the input file 3. Each sentence should be written on its own line 2. When writing clean text to an output file:ġ. If your input file was named example_input1.txt, the output file should be called example_inputl_clean.txt. Remove all non-alphabetical characters from all tokens and convert all tokens to lowercase Once a file's raw text has been processed, the resulting clean text should be written to a new file. So in the above example, the last six tokens would be treated as a sentence even though the token "not" does not end with a period, exclamation mark, or question mark. ![]() If the last token in a file does not end with one of the three sentence markers, treat all words after the last sentence marker as a sentence. However, these exclam!!!ation marks do not" 4. So for example "this period indicates the end of a sentence. A sentence's end is marked by a token that ends with an exclamation mark, a question mark, or a period. Parse the tokens into sequential sentences. For example, the sentence "this sentence contains 5 tokens." contains the tokens "this", "sentence", "contains", "5", and "tokens." 3. A token is a continuous sequence of characters, none of which are whitespace (i.e., a space, a tab, or a new line). ![]() Replace all hyphens and apostrophes with spaces. To process the file's raw text into clean text, you should: 1. If you are writing a function for this algorithm the filename might be the function's first (and only) parameter. For menu option 1, you will need to write an containing raw text as input and produces a cleaned version of that file as output Your algorithm should take a filename as input. Such processing will sometimes remove useful information from the file, but that information loss is worth the benefits of having a cleaner, simpler version of the algorithm that takes a file text to work with. The first step of sentiment analysis is to process raw text into clean text that is more easily worked with by your software. This is because it may have unusual punctuation, spelling errors, errant capitalizations, and use of complicated symbol substitutions L1K3 TH1$. Cleaning a File Human-written documents are sometimes difficult to use for sentiment analysis.
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