Review of some features of Jupyter notebooks.
!pwd
/home/accts/sbs5/cs370/www/aima
!pip list
Package Version ---------------------------- -------------------- absl-py 2.1.0 agate 1.6.3 agate-dbf 0.2.2 agate-excel 0.2.5 agate-sql 0.5.8 aiohttp 3.8.1 aiosignal 1.2.0 alabaster 0.7.12 ansible-base 2.10.8 apache-libcloud 3.2.0 appdirs 1.4.4 apturl 0.5.2 argcomplete 1.8.1 argon2-cffi 21.1.0 astroid 2.9.3 astunparse 1.6.3 async-timeout 4.0.1 atomicwrites 1.4.0 attrs 21.2.0 Automat 20.2.0 autopep8 1.6.0 Babel 2.8.0 backcall 0.2.0 bcrypt 3.2.0 beautifulsoup4 4.11.2 beniget 0.4.1 black 21.10b0 bleach 4.1.0 blinker 1.4 Bottleneck 1.3.2 brial 1.0.2 Brlapi 0.8.3 Brotli 1.0.9 certifi 2020.6.20 chardet 4.0.0 charset-normalizer 2.0.6 cheroot 8.5.2+ds1 click 8.0.3 cloudpickle 2.0.0 colorama 0.4.4 command-not-found 0.3 configobj 5.0.6 constantly 15.1.0 cov-core 1.15.0 coverage 6.2 crypto 1.4.1 cryptography 3.4.8 csvkit 1.0.6 cupshelpers 1.0 cycler 0.11.0 cypari2 2.1.2 Cython 0.29.28 dbfread 2.0.7 dbus-python 1.2.18 decorator 4.4.2 defer 1.0.6 defusedxml 0.7.1 demjson 2.2.4 devscripts 2.22.1ubuntu1 diff-match-patch 20200713 distlib 0.3.4 distro 1.7.0 distro-info 1.1+ubuntu0.2 dnspython 2.1.0 docutils 0.17.1 duplicity 0.8.21 emoji 1.2.0 entrypoints 0.4 et-xmlfile 1.0.1 execnet 1.9.0 fail2ban 0.11.2 fasteners 0.14.1 fer 22.4.0 filelock 3.6.0 flaky 3.7.0 flatbuffers 24.3.25 fonttools 4.29.1 fpylll 0.5.2.dev0 freezegun 1.0.0 frozendict 2.3.5 frozenlist 1.2.0 fs 2.4.12 future 0.18.2 gast 0.6.0 gbp 0.9.25 gmpy2 2.1.2 google-pasta 0.2.0 gpg 1.16.0 greenlet 1.1.2 grpcio 1.65.4 gyp 0.1 h5py 3.11.0 h5py.-debian-h5py-serial 3.6.0 helpdev 0.7.1 html5lib 1.1 httplib2 0.20.2 hyperlink 21.0.0 idna 3.3 ifaddr 0.1.7 imagesize 1.3.0 importlib-metadata 4.6.4 incremental 21.3.0 iniconfig 1.1.1 intervaltree 3.0.2 iotop 0.6 ipykernel 6.7.0 ipython 7.31.1 ipython_genutils 0.2.0 ipythonblocks 1.9.1 ipywidgets 6.0.0 isodate 0.6.1 isort 5.6.4 jaraco.functools 3.4.0 jdcal 1.0 jedi 0.18.0 jeepney 0.7.1 Jinja2 3.0.3 jmespath 0.10.0 joblib 0.17.0 jsonschema 3.2.0 jupyter-client 7.1.2 jupyter-core 4.9.1 jupyterlab-pygments 0.1.2 keras 3.4.1 keyring 23.5.0 kiwisolver 1.3.2 language-selector 0.1 latexcodec 2.0.1 launchpadlib 1.10.16 lazr.restfulclient 0.14.4 lazr.uri 1.0.6 lazy-object-proxy 0.0.0 leather 0.3.4 libclang 18.1.1 llvmlite 0.38.0 lockfile 0.12.2 logilab-common 1.8.2 louis 3.20.0 lxml 4.9.2 lz4 3.1.3+dfsg macaroonbakery 1.3.1 Mako 1.1.3 Markdown 3.6 markdown-it-py 3.0.0 MarkupSafe 2.1.5 matplotlib 3.5.1 matplotlib-inline 0.1.3 mccabe 0.6.1 mdurl 0.1.2 meld 3.20.4 memory-allocator 0.1.2 mercurial 6.1.1 ml-dtypes 0.4.0 mock 4.0.3 monotonic 1.6 more-itertools 8.10.0 mpmath 0.0.0 msgpack 1.0.3 mtcnn 0.1.1 multidict 5.1.0 mypy-extensions 0.4.3 Naked 0.1.32 namex 0.0.8 nbclient 0.5.6 nbconvert 6.4.0 nbformat 5.1.3 nbsphinx 0.8.7 nest-asyncio 1.5.4 netaddr 0.8.0 netifaces 0.11.0 networkx 2.4 nltk 3.7 nose 1.3.7 nose2 0.9.2 notebook 6.4.8 ntlm-auth 1.4.0 numba 0.55.1 numexpr 2.8.1 numpy 1.26.4 numpy-stl 2.8.0 numpydoc 1.2 oauthlib 3.2.0 odfpy 1.4.2 olefile 0.46 openai 0.18.1 opencv-contrib-python 4.5.5.64 opencv-python 4.5.5.64 openpyxl 3.0.9 opt-einsum 3.3.0 optree 0.12.1 packaging 21.3 pandas 1.3.5 pandas-stubs 1.2.0.58 pandocfilters 1.5.0 parameterized 0.8.1 paramiko 2.9.3 parsedatetime 2.6 parso 0.8.1 pathspec 0.9.0 patsy 0.5.2 pbr 5.8.0 pep8 1.7.1 pexpect 4.8.0 pickleshare 0.7.5 Pillow 9.0.1 pip 22.0.2 pipenv 11.9.0 Pivy 0.6.5 pkgconfig 1.5.5 platformdirs 2.5.1 pluggy 0.13.0 ply 3.11 pplpy 0.8.7 prettytable 3.3.0 primecountpy 0.1.0 prometheus-client 0.9.0 prompt-toolkit 3.0.28 protobuf 4.25.4 psutil 5.9.0 psycopg2 2.9.2 ptyprocess 0.7.0 py 1.10.0 pyasn1 0.4.8 pyasn1-modules 0.2.1 pybtex 0.23.0 pybtex-docutils 1.0.1 pycairo 1.20.1 pycodestyle 2.8.0 pycryptodome 3.21.0 pycryptodomex 3.11.0 pycups 2.0.1 pydocstyle 6.1.1 pydot 1.4.2 pyflakes 2.4.0 pygad 2.16.3 Pygments 2.18.0 PyGObject 3.42.1 pygpu 0.7.6 PyHamcrest 2.0.2 PyICU 2.8.1 pyinotify 0.9.6 PyJWT 2.3.0 pykerberos 1.1.14 pylint 2.12.2 pylint-common 0.2.5 pylint-plugin-utils 0.6 pyls-black 0.4.6 pyls-spyder 0.4.0 pymacaroons 0.13.0 PyNaCl 1.5.0 pynvim 0.4.2 pyOpenSSL 21.0.0 pyparsing 2.4.7 PyQt5 5.15.6 PyQt5-sip 12.9.1 PyQtWebEngine 5.15.5 pyRFC3339 1.1 pyrsistent 0.18.1 pyserial 3.5 pysvn 1.9.15 pytest 6.2.5 pytest-cov 3.0.0 pytest-forked 1.4.0 pytest-mock 3.6.1 pytest-random-order 1.0.4 pytest-xdist 2.5.0 python-apt 2.4.0+ubuntu4 python-dateutil 2.8.1 python-debian 0.1.43+ubuntu1.1 python-jsonrpc-server 0.4.0 python-language-server 0.36.2 python-linux-procfs 0.6.3 python-lsp-jsonrpc 1.0.0 python-lsp-server 1.3.3 python-magic 0.4.24 python-slugify 4.0.0 python-twitter 3.3 python-utils 2.2.0 pythran 0.10.0 pytimeparse 1.1.5 pytz 2022.1 pyudev 0.22.0 pywinrm 0.3.0 pyxdg 0.27 PyYAML 5.4.1 pyzmq 22.3.0 QDarkStyle 2.8.1 qrcode 8.0 QtAwesome 1.1.1 qtconsole 5.2.2 QtPy 2.0.0 ranger-fm 1.9.3 redis 3.5.3 regex 2021.11.10 reportlab 3.6.8 requests 2.25.1 requests-kerberos 0.12.0 requests-ntlm 1.1.0 requests-oauthlib 1.3.0 requests-toolbelt 0.9.1 rich 13.7.1 roman 3.3 rope 0.22.0 rpy2 3.4.5 sagemath-standard 9.5 sagenb-export 3.2 scikit-surprise 1.1.1 scipy 1.8.0 scour 0.38.2 screen-resolution-extra 0.0.0 seaborn 0.11.2 SecretStorage 3.3.1 selinux 3.3 Send2Trash 1.8.1b0 sentry-sdk 1.4.3 service-identity 18.1.0 setuptools 59.6.0 Shapely 1.8.0 shellescape 3.8.1 simplejson 3.17.6 six 1.16.0 snowballstemmer 2.2.0 sortedcontainers 2.1.0 soupsieve 2.3.1 Sphinx 4.3.2 sphinxcontrib-bibtex 2.4.1 spyder 4.2.1 spyder-kernels 1.10.2 SQLAlchemy 1.4.31 ssh-import-id 5.11 stevedore 3.5.0 suricata 6.0.4 suricata-update 1.2.3 surprise 0.1 sympy 1.9 systemd-python 234 tables 3.7.0 tdqm 0.0.1 tensorboard 2.17.0 tensorboard-data-server 0.7.2 tensorboard-plugin-wit 1.8.1 tensorflow 2.17.0 tensorflow-io-gcs-filesystem 0.37.1 termcolor 2.4.0 terminado 0.13.1 testpath 0.5.0 textdistance 4.2.2 tf-estimator-nightly 2.16.0.dev2024012409 Theano 1.0.5 three-merge 0.1.1 toml 0.10.2 tomli 1.2.2 torch 1.11.0 tornado 6.1 tox 3.21.4 tqdm 4.57.0 traitlets 5.1.1 trash-cli 0.17.1.14 Twisted 22.1.0 typing_extensions 4.12.2 tzlocal 2.1 ubuntu-drivers-common 0.0.0 ubuntu-pro-client 8001 ufoLib2 0.13.1 ufw 0.36.1 ujson 5.1.0 unattended-upgrades 0.1 unicodedata2 14.0.0 Unidecode 1.3.3 unidiff 0.5.5 urllib3 1.26.5 usb-creator 0.3.7 vboxapi 1.0 virtualenv 20.13.0+ds virtualenv-clone 0.3.0 virtualenvwrapper 4.8.4 wadllib 1.3.6 watchdog 2.1.6 wcwidth 0.2.5 web.py 0.61 webencodings 0.5.1 Werkzeug 3.0.3 wheel 0.37.1 widgetsnbextension 2.0.0 wordsegment 1.3.1 wrapt 1.13.3 wurlitzer 3.0.2 xdg 5 xkit 0.0.0 xlrd 1.2.0 xlwt 1.3.0 xmltodict 0.12.0 yahoofinancials 1.6 yapf 0.32.0 yarl 1.7.2 yfinance 0.2.12 zeroconf 0.38.3 zipp 1.0.0 zope.interface 5.4.0
%lsmagic
Available line magics: %alias %alias_magic %autoawait %autocall %automagic %autosave %bookmark %cat %cd %clear %colors %conda %config %connect_info %cp %debug %dhist %dirs %doctest_mode %ed %edit %env %gui %hist %history %killbgscripts %ldir %less %lf %lk %ll %load %load_ext %loadpy %logoff %logon %logstart %logstate %logstop %ls %lsmagic %lx %macro %magic %man %matplotlib %mkdir %more %mv %notebook %page %pastebin %pdb %pdef %pdoc %pfile %pinfo %pinfo2 %pip %popd %pprint %precision %prun %psearch %psource %pushd %pwd %pycat %pylab %qtconsole %quickref %recall %rehashx %reload_ext %rep %rerun %reset %reset_selective %rm %rmdir %run %save %sc %set_env %store %sx %system %tb %time %timeit %unalias %unload_ext %who %who_ls %whos %xdel %xmode Available cell magics: %%! %%HTML %%SVG %%bash %%capture %%debug %%file %%html %%javascript %%js %%latex %%markdown %%perl %%prun %%pypy %%python %%python2 %%python3 %%ruby %%script %%sh %%svg %%sx %%system %%time %%timeit %%writefile Automagic is ON, % prefix IS NOT needed for line magics.
ls
agents_4e.py nlp.ipynb agents4e.py nlp.py agents.html notebook4e.py agents.ipynb notebook4e.py~ agents.py notebook.py aima-data/ obsolete-search-4e.ipynb CONTRIBUTING.md perception4e.py csp.ipynb planning_angelic_search.ipynb csp.py planning_graphPlan.ipynb DeepNeuralNet4e.py planning_hierarchical_search.ipynb games4e.ipynb planning.ipynb games4e.py planning_partial_order_planner.ipynb games.ipynb planning.py games.py planning_total_order_planner.ipynb hw1a.pyc probability-4e.ipynb hw1.html probability4e.py hw1.ipynb probability.ipynb index.ipynb probability.py intro.ipynb __pycache__/ ipyviews.py pytest.ini js/ README.md Jupyter Notebook Introduction.html requirements.txt Jupyter Notebook Introduction.ipynb rl4e.py knowledge_current_best.ipynb rl.ipynb knowledge_FOIL.ipynb rl.py knowledge.py search4e.ipynb knowledge_version_space.ipynb search.ipynb learning4e.py searchnew.ipynb learning_apps.ipynb search.py learning.ipynb showprops.py learning.py SUBMODULE.md LICENSE test.ipynb logic.ipynb tests/ logic.py text.ipynb mdp_apps.ipynb text.py mdp.ipynb Untitled.ipynb mdp.py utils4e.py neural_nets.ipynb utils.py nlp4e.py vacuum.webp nlp_apps.ipynb vacuum_world.ipynb
%ls
agents_4e.py nlp.ipynb agents4e.py nlp.py agents.html notebook4e.py agents.ipynb notebook4e.py~ agents.py notebook.py aima-data/ obsolete-search-4e.ipynb CONTRIBUTING.md perception4e.py csp.ipynb planning_angelic_search.ipynb csp.py planning_graphPlan.ipynb DeepNeuralNet4e.py planning_hierarchical_search.ipynb games4e.ipynb planning.ipynb games4e.py planning_partial_order_planner.ipynb games.ipynb planning.py games.py planning_total_order_planner.ipynb hw1a.pyc probability-4e.ipynb hw1.html probability4e.py hw1.ipynb probability.ipynb index.ipynb probability.py intro.ipynb __pycache__/ ipyviews.py pytest.ini js/ README.md Jupyter Notebook Introduction.html requirements.txt Jupyter Notebook Introduction.ipynb rl4e.py knowledge_current_best.ipynb rl.ipynb knowledge_FOIL.ipynb rl.py knowledge.py search4e.ipynb knowledge_version_space.ipynb search.ipynb learning4e.py searchnew.ipynb learning_apps.ipynb search.py learning.ipynb showprops.py learning.py SUBMODULE.md LICENSE test.ipynb logic.ipynb tests/ logic.py text.ipynb mdp_apps.ipynb text.py mdp.ipynb Untitled.ipynb mdp.py utils4e.py neural_nets.ipynb utils.py nlp4e.py vacuum.webp nlp_apps.ipynb vacuum_world.ipynb
# importing matplotlib module
from matplotlib import pyplot as plt
# x-axis values
x = [5, 2, 9, 4, 7]
# Y-axis values
y = [10, 5, 8, 4, 2]
# Function to plot scatter
plt.scatter(x, y)
# function to show the plot
plt.show()
[x*x*x for x in range(100)]
[0, 1, 8, 27, 64, 125, 216, 343, 512, 729, 1000, 1331, 1728, 2197, 2744, 3375, 4096, 4913, 5832, 6859, 8000, 9261, 10648, 12167, 13824, 15625, 17576, 19683, 21952, 24389, 27000, 29791, 32768, 35937, 39304, 42875, 46656, 50653, 54872, 59319, 64000, 68921, 74088, 79507, 85184, 91125, 97336, 103823, 110592, 117649, 125000, 132651, 140608, 148877, 157464, 166375, 175616, 185193, 195112, 205379, 216000, 226981, 238328, 250047, 262144, 274625, 287496, 300763, 314432, 328509, 343000, 357911, 373248, 389017, 405224, 421875, 438976, 456533, 474552, 493039, 512000, 531441, 551368, 571787, 592704, 614125, 636056, 658503, 681472, 704969, 729000, 753571, 778688, 804357, 830584, 857375, 884736, 912673, 941192, 970299]
%%timeit
[x*x for x in range(100)]
2.76 µs ± 137 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)
%%timeit
[x*x for x in range(1000)]
20.6 µs ± 137 ns per loop (mean ± std. dev. of 7 runs, 10000 loops each)
%%timeit
[x*x for x in range(10000)]
201 µs ± 1.62 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)
See https://gist.github.com/ocoyawale/54d92fd4bf92508a2a6e482b5fa480fd