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Python TUPLE - Pack, Unpack, Compare, Slicing, Delete, Key

You can use os. Blacktown os.

Some other people here suggest making a full deep copy with copy. The dictionary keeps a reference to the object as a value for a key. So when you remove a key from a dictionary this reference is removed, not the object being referenced. The object itself may be removed later automatically by the garbage collector, if there're no other references for it in the memory. Making a deep copy requires more calculations compared to shallow copy, so it decreases code performance by making the copy, wasting memory and providing more work to the GC, sometimes shallow copy is enough. However, if you have mutable objects as dictionary values and plan to modify them later in the returned dictionary without the key, you have to make a deep copy.

With shallow copy: Here is a Python program that was intended to delete files that have the. Instead, you should have first run the program like this: Instead, you will print the filename of the file that would have been deleted. Once you are certain the program works as intended, delete the print filename line and uncomment the os. Then run the program again to actually delete the files. A much better way to delete files and folders is with the third-party send2trash module. You can install this module by running pip install send2trash from a Terminal window.

See Appendix A for a more in-depth explanation of how to install third-party modules. After you have installed send2trash, enter the following into the interactive shell: But while sending files to the recycle bin lets you recover them later, it will not free up disk space like permanently deleting them does. If you want your program to free up disk space, use the os and shutil functions for deleting files and folders. Note that the send2trash function can only send files to the recycle bin; it cannot pull files out of it. Walking a Directory Tree Say you want to rename every file in some folder and also every file in every subfolder of that folder. That is, you want to walk through the directory tree, touching each file as you go.

Writing a program to do this could get tricky; fortunately, Python provides a function to handle this process for you. An example folder that contains three folders and four files Here is an example program that uses the os.

This will hold it easy to trade and calldd the function into other Being mothers that would this agreement. The shutil Nutshell The shutil or other customers module has many to let you would, move, debut, and time series in your Child programs. If not in the fact, m reverts to a refund using object.

Pjthon You can use os. Unlike rangethe os. The current working directory of the program is not changed by os. Just like you can choose the calle name i in the code for i in range I usually use the names foldername, subfolders, and filenames. When you run this program, it will output the following: The current folder is C: Since os. Replace the print function dep with your own custom code. Compressing a file reduces its size, which is useful when transferring it over the Internet. This single file, called an archive file, can then be, say, attached to an email.

Your Python programs can both create and open or extract ZIP files using functions in the zipfile module. Say you have a ZIP file named example. You can download this ZIP file from http: The contents of example. ZipFile objects are conceptually similar to the File objects you saw returned by the open function in the previous chapter: They are values through which the program interacts with the file. To create a ZipFile object, call the zipfile. ZipFile function, passing it a string of the. Note that zipfile is the name of the Python module, and ZipFile is the name of the function. ZipFile 'example. These strings can be passed to the getinfo ZipFile method to return a ZipInfo object about that particular file.

While a ZipFile object represents an entire archive file, a ZipInfo object holds useful information about a single file in the archive. Optionally, you can pass a folder name to extractall to have it extract the files into a folder other than the current working directory. If the folder passed to the extractall method does not exist, it will be created.

Continue the interactive shell example: Optionally, you can pass a second argument to extract to extract the file into a folder other than the current working directory. The value that extract returns is the absolute path to which the file was extracted. This is similar to opening a text file in write mode by passing 'w' to the open function. When you pass a path to the write method of a ZipFile object, Python will compress the file at that path and add it into the ZIP file. The second argument is the compression type parameter, which tells the computer what algorithm it should use to compress the files; you can always just set this value to zipfile.

This specifies the deflate compression algorithm, which works well on all types of data. ZipFile 'new. Keep in mind that, just as with writing to files, write mode will erase all existing contents of a ZIP file. If you want to simply add files to an existing ZIP file, pass 'a' as the second argument to zipfile. ZipFile to open the ZIP file in append mode. This boring task could take all day to do by hand! It searches all the filenames in the current working directory for American-style dates.

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When one is found, it renames the file with the month and day swapped to make it European-style. This means the code will need to do the following: Create a regex that fating identify the text pattern of American-style dates. Call os. Loop over each filename, dafing the regex to check whether it has a date. If it has a date, rename the file with shutil. For this project, open a new file editor window and save your code as renameDates. Step 1: Make your code look like the following: Loop over the files in the working directory. In pure Python, it looks like: The call super B, obj. If not a descriptor, m is returned unchanged.

If not in the dictionary, m reverts to a search using object. Classes inherit this machinery when they derive from object or if they have a meta-class providing similar functionality. However, this descriptor is useful for monitoring just a few chosen attributes: Several use cases are so common that they have been packaged into individual function calls. Properties, bound methods, static methods, and class methods are all based on the descriptor protocol. Calling property is a succinct way of building a data descriptor that triggers function calls upon access to an attribute.

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