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This library is built on top of the NumPy library. It provides various data structures and operations for manipulating numerical data and time series. Pandas is an open-source library that is made mainly for working with relational or labeled data both easily and intuitively. With this power comes simplicity: a solution in NumPy is often clear and elegant. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. Nearly every scientist working in Python draws on the power of NumPy.
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learn to visualise data like pro in matplotlib and pandas. Acquire the required python numpy, pandas and matplotlib knowledge you need to excel in data Science, machine Learning, ai and deep learning. Go from absolute beginner to become a confident python numpy, pandas and matplotlib user. learn to analyse data in depth using pandas. become expert in pandas,numpy and matplotlib. Go deeper to understand complex topics in python numpy, pandas and data visualisation. Adds support for login with a v2 Mega user account.
Replace pycrypto dependency with pycryptodome.Adds logging, removes print statements.When a request fails due to EAGAIN response, retry with exp backoff.Reverts, "Replace pycrypto dependency with pycryptodome" as breaks.
The downloaded file, previously returned None.
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Changes download and download_url methods to return the path to. Increase the wait time in between failed API request retries. Switches dependency pycrypto to pycryptodome. Fix login by calculating public RSA exponent instead of hardcoding. Fixes find method returning the wrong file when more than one file. rename ( file, 'my_file.doc' ) Contact Supportįor paid priority support contact Python Development Agency Release History 1.0.8 () Returns a dict of folder node name and node_id, e.g. create_folder ( 'new_folder/sub_folder/subsub_folder' ) import_public_url ( '!utYjgSTQ!OM4U3V5v_W4N5edSo0wolg1D5H0fwSrLD3oLnLuS9pc', dest_node = folder_node ) Create a folder m. import_public_url ( '!utYjgSTQ!OM4U3V5v_W4N5edSo0wolg1D5H0fwSrLD3oLnLuS9pc' ) folder_node = m. download ( file, '/home/john-smith/Desktop', 'myfile.zip' ) Import a file from URL, optionally specify destination folder m. download ( file, '/home/john-smith/Desktop' ) # specify optional download filename (download_url() supports this also) m. download_url ( '!utYjgSTQ!OM4U3V5v_W4N5edSo0wolg1D5H0fwSrLD3oLnLuS9pc' ) m. upload ( 'myfile.doc', folder ) Download a file from URL or file obj, optionally specify destination folder file = m. find ( 'my_mega_folder', exclude_deleted = True ) Upload a file to a destination folder folder = m. find ( 'my_mega_folder' ) # Excludes results which are in the Trash folder (i.e. !WlVl1CbZ!M3wmhwZDENMNUJoBsdzFng Find a file or folder folder = m. export ( 'my_mega_folder/my_sub_folder_to_share' ) # e.g. export ( 'myfile.doc' ) public_exported_web_link = m. get_upload_link ( file ) # see mega.py for destination and filename options Export a file or folder public_exported_web_link = m. get_files () Upload a file, and get its public link file = m. get_storage_space ( kilo = True ) Get account files files = m. get_quota () Get account storage space # specify unit output kilo, mega, gig, else bytes will output space = m.
get_balance () Get account disk quota quota = m. get_user () Get account balance (Pro accounts only) balance = m.
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login ( email, password ) # login using a temporary anonymous account m = mega. py Import mega.py from mega import Mega Create an instance of Mega.py mega = Mega () Login to Mega m = mega. Run the following command, or run setup from the latest github source.
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This is a work in progress, further functionality coming shortly.įor more detailed information see API_INFO.md How To Use Create a Mega accountįirst, create an account with Mega.