Python
Environment
Qualified supports Python 2.7, 3.4, 3.6, 3.7, 3.8 and 3.11.
Timeout
The sandbox environment will timeout the code within 12 seconds.
Packages
The following Python packages are installed:
Python 2.7
numpy
:1.12.0
scipy
:0.13.3
scikit-learn
:0.18.1
gmpy2
:2.0.2
pandas
:0.13.1
six
:1.10.0
pymongo
:3.4.0
redis
:2.10.5
psycopg2
:2.7
beautifulsoup4
:4.2.1
requests
:2.7.0
pycrypto
:2.6.1
Python 3.4
numpy
:1.12.0
scipy
:0.13.3
scikit-learn
:0.18.1
gmpy2
:2.0.2
pandas
:0.13.1
six
:1.10.0
pymongo
:3.4.0
redis
:2.10.5
psycopg2
:2.7
beautifulsoup4
:4.2.1
requests
:2.7.0
pycrypto
:2.6.1
Python 3.6
numpy
:1.14.0
scipy
:1.0.0
scikit-learn
:0.19.1
gmpy2
:2.0.8
pandas
:0.22.0
six
:1.10.0
pymongo
:3.6.0
redis
:2.10.6
psycopg2
:2.7.4
beautifulsoup4
:4.6.0
requests
:2.7.0
pycrypto
:2.6.1
Python 3.7
Since Python 3.7, we have presets for different kinds of challenges. Use the Run Configuration menu in project code challenge mode to select a preset.
Default (no preset)
beautifulsoup4
:4.7.1
gmpy2
:2.0.8
numpy
:1.16.3
pandas
:0.24.2
pycrypto
:2.6.1
regex
:2019.04.14
requests
:2.21.0
scikit-learn
:0.20.3
scipy
:1.2.1
six
:1.12.0
datascience
preset)
Data Science (beautifulsoup4
:4.9.0
numpy
:1.18.4
pandas
:1.0.3
requests
:2.23.0
seaborn
:0.10.1
scikit-learn
:0.22.2.post1
scipy
:1.4.1
matplotlib
:3.2.1
mpld3
jinja2
:2.11.2
six
:1.14.0
gensim
:3.8.3
keras
:2.3.1
networkx
:2.4
nltk
:3.5
spacy
:2.2.4
psycopg2
:2.8.5
sqlalchemy
:1.3.16
statsmodels
:0.11.1
scrapy
:2.1.0
wordcloud
:1.7.0
django
preset)
Django (Only available in Project Code Challenges.
django
:2.2.1
Python 3.8
Default (no preset)
aiohttp
:3.8.1
beautifulsoup4
:4.9.1
flask
:1.1.2
gmpy2
:2.0.8
jinja2
:2.11.2
matplotlib
:3.3.0
mpld3
:0.3.1.dev1
numpy
:1.19.1
pandas
:1.0.5
pycrypto
:2.6.1
regex
:2020.7.14
requests
:2.24.0
scikit-learn
:0.23.1
scipy
:1.5.2
seaborn
:0.10.1
six
:1.15.0
sqlalchemy
:1.3.19
datascience
preset)
Data Science (beautifulsoup4
:4.9.1
gensim
:3.8.3
graphviz
:0.14.1
jinja2
:2.11.2
keras
:2.4.3
koala2
:0.0.35
matplotlib
:3.3.0
mpld3
:0.3.1.dev1
networkx
:2.4
nltk
:3.5
numpy
:1.19.1
pandas
:1.1.0
psycopg2
:2.8.5
pydotplus
:2.0.2
requests
:2.24.0
scikit-learn
:0.23.1
scipy
:1.5.2
scrapy
:2.2.1
seaborn
:0.10.1
six
:1.15.0
spacy
:2.3.2
sqlalchemy
:1.3.18
statsmodels
:0.11.1
wordcloud
:1.7.0
django
preset)
Django (Only available in Project Code Challenges.
django
:3.2
djangorestframework
:3.12.4
django-filter
:21.1
django-guardian
:2.4.0
Python 3.11
Default (no preset)
aiohttp
:3.8.3
beautifulsoup4
:4.11.2
cryptography
:39.0.1
Flask
:2.2.2
gmpy2
:2.1.5
Jinja2
:3.1.2
matplotlib
:3.6.3
moto
:4.1.5
mpld3
:0.5.9
networkx
:3.0
numpy
:1.24.2
pandas
:1.5.3
pysparkling
:0.6.2
regex
:2022.10.31
requests
:2.28.2
scikit-learn
:1.2.1
scipy
:1.10.0
seaborn
:0.12.2
six
:1.15.0
sqlalchemy
:2.0.2
Testing
Our Python environment supports the following testing frameworks: