for quizNum in range(35): # ➌ # TODO: Create the quiz and answer key files. # TODO: Write out the header for the quiz. # TODO: Shuffle the order of the states. # TODO: Loop through all 50 states, making a question for each. 因为这个程序会随机排序问题和答案,你需要导入random模...
PdfFileWriter() # ➍ # TODO: Loop through all the PDF files. # TODO: Loop through all the pages (except the first) and add them. # TODO: Save the resulting PDF to a file. 在Shebang 行和关于程序功能的描述性注释之后,这段代码导入了os和PyPDF2模块➊。这个os.listdir('.')调用将...
例如,以下代码将文件名列表中的名称连接到文件夹名称的末尾: >>>frompathlibimportPath>>>myFiles = ['accounts.txt','details.csv','invite.docx']>>>forfilenameinmyFiles:print(Path(r'C:\Users\Al', filename)) C:\Users\Al\accounts.txt C:\Users\Al\details.csv C:\Users\Al\invite.docx 在Wi...
image_files = glob.glob("*.jpg") ### Process the list of files, but split the work across the process pool to use all CPUs ### Loop through all jpg files in the current folder ### Resize each one to size 600x600 executor.map(load_and_resize, image_files) 从以上代码中摘出一行:...
# Skip non-xlsx files, load the workbook object. for sheetName in wb.get_sheet_names(): # Loop through every sheet in the workbook. sheet = wb.get_sheet_by_name(sheetName) # Create the CSV filename from the Excel filename and sheet title. ...
Sometimes, you may want to read a file line-by-line. To do that, you can use aforloop to loop through the file line-by-line. The following code demonstrates how to read a file line-by-line in Python: file = open('example.txt', 'r') ...
Python does this in constant time without having to scan through every item by using hash functions. When Python looks up a key foo in a dict, it first computes hash(foo) (which runs in constant-time). Since in Python it is required that objects that compare equal also have the same ...
Python 2.4 through 2.7 (Generic Python 2) PyPy 3-2.4 and later works as well. The bytecode files it can read have been tested on Python bytecodes from versions 1.4, 2.1-2.7, and 3.0-3.8 and later PyPy versions. You can install from PyPI using the nameuncompyle6: ...
# Loop through the siblings starting here. temp = tag.parent.next_sibling text = "" while temp is not None: # Text comes in <t> tags. maybe_text = temp.find("t") if maybe_text is not None: # Ones that have text in them. if maybe_text.text.strip() != "": text += maybe...
Loop through the corpus and calculate the frequency of each pair of adjacent characters across every word. Return a dictionary of each character pair as the keys and the corresponding frequency as the values. Args: corpus (list[tuple(list, int)]): A list of tuples where the ...