You can create an iterable of all pattern matches in a text by using the re.finditer(pattern, text) method: Specification: re.finditer(pattern, text, flags=0) Definition: returns an iterator that goes over all non-overlapping matches of the pattern in the text. The flags argument allows you to customize some advanced properties of the regex engine such as whether …
Problem: You’ve just learned about the list.clear() method in Python. You wonder, what’s its purpose? Why not creating a new list and overwriting the variable instead of clearing an existing list? Example: Say, you have the following list. If you clear the list, it becomes empty: However, you could have accomplished the same thing by …
list.clear() vs New List — Why Clearing a List Rather Than Creating a New One? Read More »
Python’s built-in all(x) function takes one iterable as an argument x such as a list, tuple, or dictionary. It returns True if all iterable elements evaluate to True using implicit Boolean conversion, otherwise it returns False. If the iterable is empty, all() returns True because the condition is satisfied for all elements. Argument x -> …
Python’s built-in abs(x) function returns the absolute value of the argument x that can be an integer, float, or object implementing the __abs__() function. For a complex number, the function returns its magnitude. The absolute value of any numerical input argument -x or +x is the corresponding positive value +x. Argument x int, float, complex, …
To count a regex pattern multiple times in a given string, use the method len(re.findall(pattern, string)) that returns the number of matching substrings or len([*re.finditer(pattern, text)]) that unpacks all matching substrings into a list and returns the length of it as well. A few hours ago, I wrote a regular expression in Python that matched …
Python Regex – How to Count the Number of Matches? Read More »
Summary: Web scraping is the process of extracting data from the internet. It is also known as web harvesting or web data extraction. Python allows us to perform web scraping using automated techniques. BeautifulSoup is a Python library used to parse data (structured data) from HTML and XML documents. The internet is an enormous wealth …
Python comes with many built-in functions you can use without importing any library. Here are they in alphabetical order: Built-in Functions abs() delattr() hash() memoryview() set() all() dict() help() min() setattr() any() dir() hex() next() slice() ascii() divmod() id() object() sorted() bin() enumerate() input() oct() staticmethod() bool() eval() int() open() str() breakpoint() exec() isinstance() ord() …
Just like me an hour ago, you’re probably sitting in front of your regular expression code, puzzled by a strange error message: Why is it raised? Where does it come from? And, most importantly, how can you get rid of it? This article gives you answers to all of those questions. Alternatively, you can also …
In this article, you’ll explore how to generate exponential fits by exploiting the curve_fit() function from the Scipy library. SciPy’s curve_fit() allows building custom fit functions with which we can describe data points that follow an exponential trend. In the first part of the article, the curve_fit() function is used to fit the exponential trend …
Chris is the founder of the programming education company FINXTER, author of the Coffee Break Python series of self-published books, the popular programming book Python One-Liners (NoStarch 2020), a doctorate computer scientist, and owner of one of the top 10 Python blogs worldwide. His research interests include graph theory and distributed systems. You can join …
This tutorial gives you a short explanation of the law of Demeter. It’s based on a rough chapter draft for my upcoming book “From One to Zero” to appear with NoStarch in 2021. You’ve already learned that one of the most important reasons for code complexity is interdependency. To write clean code, you must minimize …
This tutorial taken from my upcoming programming book “From One to Zero” (NoStarch, 2021) will show you how to write great comments. While most online tutorials focus on a bullet list of commenting tips, we dive deeper into the meat exploring the underlying reasons for the commonly recommended commenting principles. So, let’s get started! Code …
Show Don’t Tell: Commenting Python Best Practices Read More »
