Contenido del Curso
Python - Sport
Dynamic String Manipulation
Python provides a variety of built-in string methods that can help you manipulate text. For example, you can use .upper() to convert a string to uppercase, which is useful for emphasizing certain parts of your commentary:
emphasis = "amazing play" print(emphasis.upper())
Beyond f-strings, Python offers other string formatting techniques, such as the .format() method, which can be useful for more complex formatting needs:
template = "{} has scored {} points in the game." player_name = "LeBron James" points_scored = 30 formatted_commentary = template.format(player_name, points_scored) print(formatted_commentary)
You can concatenate strings using the + operator or join multiple strings using the .join() method:
words = ["LeBron", "James", "is", "on", "fire!"] sentence = " ".join(words) print(sentence)
For more advanced text manipulation, Python's re module allows you to use regular expressions to search, match, and manipulate strings. This can be particularly useful for extracting specific patterns from text, such as player statistics from a commentary line:
import re commentary_line = "LeBron James scored 30 points and 10 rebounds." match = re.search(r"(\d+) points", commentary_line) if match: points = match.group(1) print(f"Extracted points: {points}")
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Dynamic String Manipulation
Python provides a variety of built-in string methods that can help you manipulate text. For example, you can use .upper() to convert a string to uppercase, which is useful for emphasizing certain parts of your commentary:
emphasis = "amazing play" print(emphasis.upper())
Beyond f-strings, Python offers other string formatting techniques, such as the .format() method, which can be useful for more complex formatting needs:
template = "{} has scored {} points in the game." player_name = "LeBron James" points_scored = 30 formatted_commentary = template.format(player_name, points_scored) print(formatted_commentary)
You can concatenate strings using the + operator or join multiple strings using the .join() method:
words = ["LeBron", "James", "is", "on", "fire!"] sentence = " ".join(words) print(sentence)
For more advanced text manipulation, Python's re module allows you to use regular expressions to search, match, and manipulate strings. This can be particularly useful for extracting specific patterns from text, such as player statistics from a commentary line:
import re commentary_line = "LeBron James scored 30 points and 10 rebounds." match = re.search(r"(\d+) points", commentary_line) if match: points = match.group(1) print(f"Extracted points: {points}")
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones¡Gracias por tus comentarios!
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones