CVEs are Common Vulnerabilities and Exposures found in software components. Because modern software is complex with its many layers, interdependencies, data input, and libraries, vulnerabilities tend to emerge over time. Ignoring a high CVE score…
The post Why Understanding CVEs Is Critical for Data Scientists appeared first on Anaconda.
This is the final chapter of the lists in python topic, in this chapter we will create an example that will remove the duplicate student names within a student list with the help of the python loop.
We are given a list of student names, our mission is to remove the duplicate student name from the list.
student = ["Rick", "Ricky", "Richard", "Rick", "Rickky", "Rick", "Rickky"] # there are names that have been duplicated
double_enter = []
# first we need to know all the duplicate student names
for i in range(len(student)):
count = student.count(student[i])
if count > 1:
if student[i] not in double_enter:
double_enter.append(student[i])
# then we will remove those duplicate student names
for name in student:
if name in double_enter and student.count(name) > 1:
student.remove(name)
print(student)
Both Ricky and Rickky have duplicated valuesThe above python program is very long, can you find a shorter method to achieve the above outcome? Write your own solution in the comment box below.
The state of the art in natural language processing is a constantly moving target. With the rise of deep learning, previously cutting edge techniques have given way to robust language models. Through it all the team at Explosion AI have built a strong presence with the trifecta of SpaCy, Thinc, and Prodigy to support fast and flexible data labeling to feed deep learning models and performant and scalable text processing. In this episode founder and open source author Matthew Honnibal shares his experience growing a business around cutting edge open source libraries for the machine learning developent process.
The intro and outro music is from Requiem for a Fish The Freak Fandango Orchestra / CC BY-SA
oauth2client.tools.run_flow() instead of the deprecated oauth2client.tools.run_flow(). You can read more about that change here.from __future__ import print_function
from googleapiclient import discoverySCOPES is a critical variable: it represents the set of scopes of authorization an app wants to obtain (then access) on behalf of user(s). What's does a scope look like?
from httplib2 import Http
from oauth2client import file, client, tools
SCOPES = # one or more scopes (strings)
SCOPES = 'https://www.googleapis.com/auth/plus.me https://www.googleapis.com/auth/youtube'SCOPES = 'https://www.googleapis.com/auth/drive.metadata.readonly'store = file.Storage('storage.json')
creds = store.get()
if not creds or creds.invalid:
flow = client.flow_from_clientsecrets('client_secret.json', SCOPES)
creds = tools.run_flow(flow, store)
Once the user has authorized access to their personal data by your app, a special "access token" is given to your app. This precious resource must be stored somewhere local for the app to use. In our case, we'll store it in a file called "storage.json". The lines setting the store and creds variables are attempting to get a valid access token with which to make an authorized API call.Note: tools.run() deprecated by tools.run_flow()You may have seen usage of the older tools.run() function, but it has been deprecated by tools.run_flow(). We explain this in more detail in another blogpost specifically geared towards migration. |
'''When you run it, you should see pretty much what you'd expect, a list of file or folder names followed by their MIMEtypes — I named my script drive_list.py:
drive_list.py -- Google Drive API demo; maintained at:
http://github.com/googlecodelabs/gsuite-apis-intro
'''
from __future__ import print_function
from googleapiclient import discovery
from httplib2 import Http
from oauth2client import file, client, tools
SCOPES = 'https://www.googleapis.com/auth/drive.readonly.metadata'
store = file.Storage('storage.json')
creds = store.get()
if not creds or creds.invalid:
flow = client.flow_from_clientsecrets('client_secret.json', SCOPES)
creds = tools.run_flow(flow, store)
DRIVE = discovery.build('drive', 'v3', http=creds.authorize(Http()))
files = DRIVE.files().list().execute().get('files', [])
for f in files:
print(f['name'], f['mimeType'])
$ python3 drive_list.py
Google Maps demo application/vnd.google-apps.spreadsheet
Overview of Google APIs - Sep 2014 application/vnd.google-apps.presentation
tiresResearch.xls application/vnd.google-apps.spreadsheet
6451_Core_Python_Schedule.doc application/vnd.google-apps.document
out1.txt application/vnd.google-apps.document
tiresResearch.xls application/vnd.ms-excel
6451_Core_Python_Schedule.doc application/msword
out1.txt text/plain
Maps and Sheets demo application/vnd.google-apps.spreadsheet
ProtoRPC Getting Started Guide application/vnd.google-apps.document
gtaskqueue-1.0.2_public.tar.gz application/x-gzip
Pull Queues application/vnd.google-apps.folder
gtaskqueue-1.0.1_public.tar.gz application/x-gzip
appengine-java-sdk.zip application/zip
taskqueue.py text/x-python-script
Google Apps Security Whitepaper 06/10/2010.pdf application/pdf
Obviously your output will be different, depending on what files are in your Google Drive. But that's it... hope this is useful. You can now customize this code for your own needs and/or to access other Google APIs. Thanks for reading!Wing 7.2.2 introduces a How-To for using Wing with AWS, adds support for Python 3 enums, allows constraining Find Uses of imported symbols to only the current file, and makes a number of usability and stability improvements.
Download Wing 7.2.2 Now: Wing Pro | Wing Personal | Wing 101 | Compare Products
What's New in Wing 7.2Wing 7.2 adds support for Black and YAPF for code reformatting, in addition to the previously available built-in autopep8 reformatting. To use Black or YAPF, they must first be installed into your Python with pip, conda, or other package manager. Reformatting options are available from the Source > Reformatting menu group, and automatic reformatting may be configured in the Editor > Auto-reformatting preferences group.
See Auto-Reformatting for details.
Wing 7.2 improves support for virtualenv by allowing the command that activates the environment to be entered in the Python Executable in Project Properties, Launch Configurations, and when creating new projects. The New Project dialog now also includes the option to create a new virtualenv along with the new project, optionally specifying packages to install.
See Using Wing with Virtualenv for details.
Similarly, Wing 7.2 adds support for Anaconda environments, so the conda activate command can be entered when configuring the Python Executable and the New Project dialog supports using an existing Anaconda environment or creating a new one along with the project.
See Using Wing with Anaconda for details.
Wing 7.2 also introduces a How-To for using Wing with AWS, makes it easier to debug modules with python -m, adds support for Python 3 enums, simplifies manual configuration of remote debugging, allows using a command line for the configured Python Executable, supports constraining Find Uses of imported symbols to only the current file, and makes a number of usability and stability improvements.
For details see the change log.
For a complete list of new features in Wing 7, see What's New in Wing 7.
Try Wing 7.2 Now!Wing 7.2 is an exciting new step for Wingware's Python IDE product line. Find out how Wing 7.2 can turbocharge your Python development by trying it today.
Downloads: Wing Pro | Wing Personal | Wing 101 | Compare Products
See Upgrading for details on upgrading from Wing 6 and earlier, and Migrating from Older Versions for a list of compatibility notes.
CVEs are Common Vulnerabilities and Exposures found in software components. Because modern software is complex with its many layers, interdependencies, data input, and libraries, vulnerabilities tend to emerge over time. Ignoring a high CVE score…
The post Why Understanding CVEs Is Critical for Data Scientists appeared first on Anaconda.
