How to download macos catalina without app store

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Download file from google drive using python

In this tutorial, you will learn how to download files from the web using different Python modules. You will download regular files, web pages, Amazon S3, and other sources. Also, you will learn how to overcome many challenges that you may counter, such as downloading files that redirect, downloading large files, multithreaded download, and other tactics. Simply, get the URL using the get method of requests module and store the result into a variable “myfile” variable. Then you write the contents of the variable into a file. You can also download a file from a URL by using the wget module of Python. Install the wget module using pip as follows: In this code, we passed the URL along with the path (where we will store the image) to the download method of the wget module. In this section, you will learn to download from a URL that redirects to another URL with a file using requests. The URL is like the following: import requests url = 'https://readthedocs.org/projects/python-guide/downloads/pdf/latest/' myfile = requests.get(url, allow_redirects=True) open('c:/users/Like Geeks/documents/hello.pdf', 'wb').write(myfile.content)import requests url = 'https://uky.edu/~keen/115/Haltermanpythonbook.pdf' r = requests.get(url, stream = True) with open("Python Book.pdf", "wb") as Pypdf: for chunk in r.iter_content(chunk_size = 1024): if chunk: Pypdf.write(chunk)Then we create a file named Python in the current working directory and open it for writing. Then we specify the chunk size that we want to download at a time. Iterate through each chunk and write the chunks in the file until the chunks finished. The Python shell will look like the following when the chunks are downloading: Not pretty? Don’t worry; we will show a progress bar for the downloading process later. To download multiple files at a time, import the following modules: We imported the os and time modules to check how much time it takes to download files. The module Thread Pool lets you run multiple threads or processes using the pool. Let’s create a simple function which sends the response to a file in chunks:urls = [("Event1", "https:// ("Event2", "https:// ("Event3", "https:// ("Event4", "https:// ("Event5", "https:// ("Event6", "https:// ("Event7", "https:// ("Event8", "https:// Pass the URL to as we did in the previous section. Finally, open the file (path specified in the URL) and write the content of the page. Now we can call this function for each URL separately, and we can also call this function for all the URLs at the same time. Let’s do it for each URL separately in for loop and notice the timer: import requests from clint.textui import progress url = ' r = requests.get(url, stream=True) with open("Learn Python.pdf", "wb") as Pypdf: total_length = int(r.headers.get('content-length')) for ch in progress.bar(r.iter_content(chunk_size = 2391975), expected_size=(total_length/1024) 1): if ch: Pypdf.write(ch) In this code, we imported the requests module and then from clint.textui, we imported the progress widget. We used the bar method of the progress module while writing the content into the file. The output will be like the following: In this section, we will be downloading a webpage using the urllib. The urllib library is a standard library of Python, so you do not need to install it. The following line of code can easily download a webpage: In this code, we used the urlretrieve method and passed the URL of a file along with the path where we will save the file. If you need to use a proxy to download your files, you can use the Proxy Handler of the urllib module. Check the following code: In this code, we created the proxy object and opened the proxy by invoking the build_opener method of urllib and passed the proxy object. Also, you can use the requests module as documented in the official documentation: To download a file from Amazon S3, import boto3, and botocore. Boto3 is an Amazon SDK for Python to access Amazon web services such as S3. Botocore provides the command line services to interact with Amazon web services. To install boto3 run the following: You can use the asyncio module to handle system events. The asyncio module uses coroutines for event handling. It works around an event loop that waits for an event to occur and then reacts to that event. To use the asyncio event handling and coroutine functionality, we will import the asyncio module: The keyword async tells that this is a native asyncio coroutine. Inside the body of the coroutine, we have the await keyword, which returns a certain value. Now let’s create a code using a coroutine to download files from the web: import asyncio import uuid import aiohttp import async_timeout async def get_url(url, session): file_name = str(uuid.uuid4()) async with async_timeout.timeout(120): async with session.get(url) as response: with open(file_name, 'wb') as fd: async for data in response.content.iter_chunked(1024): fd.write(data) return 'Successfully downloaded ' file_name async def main(urls): async with aiohttp. I’m working as a Linux system administrator since 2010. Client Session() as session: tasks = [get_url(url, session) for url in urls] return await asyncio.gather(*tasks) urls = ["https:// "https:// "https:// "https:// loop = asyncio.get_event_loop() results = loop.run_until_complete(main(urls)) print('\n'.join(results)) In this code, we created an async coroutine function that downloads our files in chunks and saves them with a random file name and returns a message. I’m responsible for maintaining, securing, and troubleshooting Linux servers for multiple clients around the world. Then we have another async coroutine calls the get_url and waits for the URLs and make a queue of all URLs. I love writing shell and Python scripts to automate my work. Now to start the coroutine, we have to put the coroutine inside the event loop by using the get_event_loop() method of asyncio and finally, the event loop is executed using the run_until_complete() method of asyncio. In this tutorial, you will learn how to download files from the web using different Python modules. You will download regular files, web pages, Amazon S3, and other sources. Also, you will learn how to overcome many challenges that you may counter, such as downloading files that redirect, downloading large files, multithreaded download, and other tactics. Simply, get the URL using the get method of requests module and store the result into a variable “myfile” variable. Then you write the contents of the variable into a file. You can also download a file from a URL by using the wget module of Python. Install the wget module using pip as follows: In this code, we passed the URL along with the path (where we will store the image) to the download method of the wget module. In this section, you will learn to download from a URL that redirects to another URL with a file using requests. The URL is like the following: import requests url = 'https://readthedocs.org/projects/python-guide/downloads/pdf/latest/' myfile = requests.get(url, allow_redirects=True) open('c:/users/Like Geeks/documents/hello.pdf', 'wb').write(myfile.content)import requests url = 'https://uky.edu/~keen/115/Haltermanpythonbook.pdf' r = requests.get(url, stream = True) with open("Python Book.pdf", "wb") as Pypdf: for chunk in r.iter_content(chunk_size = 1024): if chunk: Pypdf.write(chunk)Then we create a file named Python in the current working directory and open it for writing. Then we specify the chunk size that we want to download at a time. Iterate through each chunk and write the chunks in the file until the chunks finished. The Python shell will look like the following when the chunks are downloading: Not pretty? Don’t worry; we will show a progress bar for the downloading process later. To download multiple files at a time, import the following modules: We imported the os and time modules to check how much time it takes to download files. The module Thread Pool lets you run multiple threads or processes using the pool. Let’s create a simple function which sends the response to a file in chunks:urls = [("Event1", "https:// ("Event2", "https:// ("Event3", "https:// ("Event4", "https:// ("Event5", "https:// ("Event6", "https:// ("Event7", "https:// ("Event8", "https:// Pass the URL to as we did in the previous section. Finally, open the file (path specified in the URL) and write the content of the page. Now we can call this function for each URL separately, and we can also call this function for all the URLs at the same time. Let’s do it for each URL separately in for loop and notice the timer: import requests from clint.textui import progress url = ' r = requests.get(url, stream=True) with open("Learn Python.pdf", "wb") as Pypdf: total_length = int(r.headers.get('content-length')) for ch in progress.bar(r.iter_content(chunk_size = 2391975), expected_size=(total_length/1024) 1): if ch: Pypdf.write(ch) In this code, we imported the requests module and then from clint.textui, we imported the progress widget. We used the bar method of the progress module while writing the content into the file. The output will be like the following: In this section, we will be downloading a webpage using the urllib. The urllib library is a standard library of Python, so you do not need to install it. The following line of code can easily download a webpage: In this code, we used the urlretrieve method and passed the URL of a file along with the path where we will save the file. If you need to use a proxy to download your files, you can use the Proxy Handler of the urllib module. Check the following code: In this code, we created the proxy object and opened the proxy by invoking the build_opener method of urllib and passed the proxy object. Also, you can use the requests module as documented in the official documentation: To download a file from Amazon S3, import boto3, and botocore. Boto3 is an Amazon SDK for Python to access Amazon web services such as S3. Botocore provides the command line services to interact with Amazon web services. To install boto3 run the following: You can use the asyncio module to handle system events. The asyncio module uses coroutines for event handling. It works around an event loop that waits for an event to occur and then reacts to that event. To use the asyncio event handling and coroutine functionality, we will import the asyncio module: The keyword async tells that this is a native asyncio coroutine. Inside the body of the coroutine, we have the await keyword, which returns a certain value. Now let’s create a code using a coroutine to download files from the web: import asyncio import uuid import aiohttp import async_timeout async def get_url(url, session): file_name = str(uuid.uuid4()) async with async_timeout.timeout(120): async with session.get(url) as response: with open(file_name, 'wb') as fd: async for data in response.content.iter_chunked(1024): fd.write(data) return 'Successfully downloaded ' file_name async def main(urls): async with aiohttp. I’m working as a Linux system administrator since 2010. Client Session() as session: tasks = [get_url(url, session) for url in urls] return await asyncio.gather(*tasks) urls = ["https:// "https:// "https:// "https:// loop = asyncio.get_event_loop() results = loop.run_until_complete(main(urls)) print('\n'.join(results)) In this code, we created an async coroutine function that downloads our files in chunks and saves them with a random file name and returns a message. I’m responsible for maintaining, securing, and troubleshooting Linux servers for multiple clients around the world. Then we have another async coroutine calls the get_url and waits for the URLs and make a queue of all URLs. I love writing shell and Python scripts to automate my work. Now to start the coroutine, we have to put the coroutine inside the event loop by using the get_event_loop() method of asyncio and finally, the event loop is executed using the run_until_complete() method of asyncio.

date: 25-Aug-2021 22:02next


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