Mastering Python's Data File Handling with Lists: Unlock the Power of Efficient Data Manipulation

Here are a few examples of Python code snippets that demonstrate data file handling with lists: Reading data from a CSV file into a list: import csv data_list = [] with open('data.csv', 'r') as file: reader = csv.reader(file) for row in reader: data_list.append(row) print(data_list) Filtering data in a list based on a specific condition: python Copy code filtered_list = [item for item in data_list if item['category'] == 'electronics'] print(filtered_list) Sorting a list based on a specific attribute: sorted_list = sorted(data_list, key=lambda item: item['price']) print(sorted_list) Writing data from a list to a CSV file: python Copy code import csv data_list = [{'name': 'Product A', 'price': 10}, {'name': 'Product B', 'price': 20}] with open('output.csv', 'w', newline='') as file: writer = csv.writer(file) for item in data_list: writer.writerow(item.values()) These examples provide a glimpse into the practical implementation of data file handling with lists in Python. You can customize them based on your specific requirements and expand your repertoire of data manipulation techniques. #PythonProgramming, #DataFileHandling, #ListManipulation, #DataManipulation, #CSVFiles, #JSONFiles, #FileIO, #DataAnalysis, #DataProcessing, #DataManipulationTechniques, #DataHandlingTips, #PythonTipsAndTricks, #CodeExamples, #ProgrammingTutorials, #PythonProjects, #LearnPython, #ProgrammingLanguages, #DataScience, #DataEngineering, #DataAnalysisTools

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