Christian

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Python Regex Split

Why have regular expressions survived seven decades of technological disruption? Because coders who understand regular expressions have a massive advantage when working with textual data. They can write in a single line of code what takes others dozens! This article is all about the re.split(pattern, string) method of Python’s re library. Let’s answer the following question: …

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Python Regex Compile

Why have regular expressions survived seven decades of technological disruption? Because coders who understand regular expressions have a massive advantage when working with textual data. They can write in a single line of code what takes others dozens! This article is all about the re.compile(pattern) method of Python’s re library. Before we dive into re.compile(), let’s …

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Python Regex Fullmatch

Why have regular expressions survived seven decades of technological disruption? Because coders who understand regular expressions have a massive advantage when working with textual data. They can write in a single line of code what takes others dozens! This article is all about the re.fullmatch(pattern, string) method of Python’s re library. There are three similar methods …

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Python Regex Match

Why have regular expressions survived seven decades of technological disruption? Because coders who understand regular expressions have a massive advantage when working with textual data. They can write in a single line of code what takes others dozens! This article is all about the match() method of Python’s re library. There are two similar methods to …

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Python Regex Search

When I first learned about regular expressions, I didn’t appreciate their power. But there’s a reason regular expressions have survived seven decades of technological disruption: coders who understand regular expressions have a massive advantage when working with textual data. They can write in a single line of code what takes others dozens! This article is …

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Python Regex Flags

In many functions, you see a third argument flags. What are they and how do they work? Flags allow you to control the regular expression engine. Because regular expressions are so powerful, they are a useful way of switching on and off certain features (e.g. whether to ignore capitalization when matching your regex). For example, …

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Python re.findall() – Everything You Need to Know

When I first learned about regular expressions, I didn’t really appreciate their power. But there’s a reason regular expressions have survived seven decades of technological disruption: coders who understand regular expressions have a massive advantage when working with textual data. They can write in a single line of code what takes others dozens! This article …

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26 Freelance Developer Tips to Double, Triple, Even Quadruple Your Income

There’s a reason why programmers, software developers, and hackers never seem to go out of vogue: Leverage. A skilled programmer may spend a year writing software which, in turn, automates the jobs performed by thousands of workers. Soon will a program for automated driving destroy billions of today’s and tomorrow’s jobs in the logistics sector. …

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numpy.fv — Calculate the Future Value of an Investment in Python

NumPy is full of those little helper functions that boost your productivity and make coding a lot of fun. The NumPy’s fv() function is one of those helpers for financial analysis that will save you a lot of time if you’re working in the financial sector—or if you’re just using NumPy to analyze your own …

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Python Regex Superpower [Ultimate Guide]

This tutorial is a chapter excerpt drafted for my new book “Python One-Liners” (to appear in 2020, No Starch Press, San Francisco). Are you an office worker, student, software developer, manager, blogger, researcher, author, copywriter, teacher, or self-employed freelancer? Most likely, you are spending many hours in front of your computer, day after day. In …

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[Story] Winter is Coming — or What's the Best Python Freelancer Course?

It’s a cold Tuesday morning in December. After a long drive in your warm and cozy car—you enjoyed your favorite podcast—you finally arrive at your office. You prepare a hot cup of coffee for you and Mandy, your colleague and best office friend. While filling in the coffee beans (their rough, chocolate aroma fills the …

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