Python Regex Anchors Summary: in this tutorial, you’ll learn how to use regular expression anchors to match the character positions including the beginning and the end of a string. Introduction to the regex anchors Regular expressions provide you with two anchors that match the positions of characters: ^ – the caret anchor matches at the…
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Python Regex Character Set Summary: in this tutorial, you learn about character sets in regular expressions including digits, words, whitespace, and the dot (.). Introduction to Python regex character sets A character set (or a character class) is a set of characters, for example, digits (from 0 to 9), alphabets (from a to z), and…
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Python Regular Expressions Summary: in this tutorial, you’ll learn about Python regular expressions and how to use the most commonly used regular expression functions. Introduction to the Python regular expressions Regular expressions (called regex or regexp) specify search patterns. Typical examples of regular expressions are the patterns for matching email addresses, phone numbers, and credit…
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Python Regex A regular expression (or regex) is a sequence of characters that specifies a search pattern. In practice, you’ll find the regular expressions in many applications such as search engines, search and replace dialogs of text editors. In Python, a regular expression is a separate programming language. It is embedded in Python. To interact…
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Python asyncio.gather() Summary: in this tutorial, you’ll learn how to use the Python asyncio.gather() function to run multiple asynchronous operations. Introduction to the Python asyncio.gather() function Sometimes, you may want to run multiple asynchronous operations and get the results once they are complete. To do that you can use the asyncio.gather() function: gather(*aws, return_exceptions=False) ->…
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Python asyncio Future Summary: in this tutorial, you’ll learn about Python asyncio future objects and understand how they work. Introduction to the Python asyncio future A future is an object that returns a value later in the future but not now. Typically, a future object is the result of an asynchronous operation. For example, you…
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Python asyncio.wait_for() Summary: in this tutorial, you’ll learn how to use the asyncio.wait_for() function to wait for a coroutine to complete with a timeout. Introduction to the Python asyncio.wait_for() function In the previous tutorial, you learned how to cancel a task that is in progress by using the cancel() method of the Task object. To…
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Canceling Tasks Summary: in this tutorial, you’ll learn how to cancel a long-running asynchronous operation that may take forever to complete. The following statement uses the await statement to wait for a task to be complete: task = asyncio.create_task(coroutine()) result = await task Code language: Python (python) However, if the coroutine() took forever, you would…
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Python asyncio.create_task() Summary: in this tutorial, you’ll learn how to use asyncio.create_task() function to run multiple tasks concurrently. Simulating a long-running operation To simulate a long-running operation, you can use the sleep() coroutine of the asyncio package. The sleep() function delays a number of the specified second: await asyncio.sleep(seconds) Code language: Python (python) Because sleep()…
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Python async await Summary: in this tutorial, you will learn about Python coroutines and how to use the Python async and await keywords to create and pause coroutines. Introduction to Python coroutines A coroutine is a regular function with the ability to pause its execution when encountering an operation that may take a while to…
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