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Installations & packages
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Pandas: For data manipulation and analysis.
pip install pandas
Matplotlib: For creating static, interactive, and animated visualizations.
pip install matplotlib
SciPy: For scientific computing, which includes modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, and more. In this case, it's specifically used for statistical
functions.
pip install scipy
Here's the combined command to install all these libraries using pip:
pip install pandas matplotlib scipy
Ensure you have Python installed on your system and that pip is up to date. You can update pip using the following command before installing the libraries:
python -m pip install --upgrade pip
Ensure to check all the packages
pip list
Package Version
------------------------- ---------------
anyio 4.2.0
argon2-cffi 23.1.0
argon2-cffi-bindings 21.2.0
arrow 1.3.0
asttokens 2.4.1
async-lru 2.0.4
attrs 23.2.0
Babel 2.14.0
beautifulsoup4 4.12.3
bleach 6.1.0
certifi 2024.2.2
cffi 1.16.0
charset-normalizer 3.3.2
colorama 0.4.6
comm 0.2.1
contourpy 1.2.0
cycler 0.12.1
debugpy 1.8.1
decorator 5.1.1
defusedxml 0.7.1
executing 2.0.1
fastjsonschema 2.19.1
fonttools 4.48.1
fqdn 1.5.1
idna 3.6
ipykernel 6.29.2
ipython 8.21.0
ipywidgets 8.1.2
isoduration 20.11.0
jedi 0.19.1
Jinja2 3.1.3
json5 0.9.14
jsonpointer 2.4
jsonschema 4.21.1
jsonschema-specifications 2023.12.1
jupyter 1.0.0
jupyter_client 8.6.0
jupyter-console 6.6.3
jupyter_core 5.7.1
jupyter-events 0.9.0
jupyter-lsp 2.2.2
jupyter_server 2.12.5
jupyter_server_terminals 0.5.2
jupyterlab 4.0.12
jupyterlab_pygments 0.3.0
jupyterlab_server 2.25.2
jupyterlab_widgets 3.0.10
kiwisolver 1.4.5
MarkupSafe 2.1.5
matplotlib 3.8.2
matplotlib-inline 0.1.6
mistune 3.0.2
nbclient 0.9.0
nbconvert 7.16.0
nbformat 5.9.2
nest-asyncio 1.6.0
notebook 7.0.8
notebook_shim 0.2.3
numpy 1.26.4
overrides 7.7.0
packaging 23.2
pandas 2.2.0
pandocfilters 1.5.1
parso 0.8.3
pillow 10.2.0
pip 24.0
platformdirs 4.2.0
prometheus-client 0.19.0
prompt-toolkit 3.0.43
psutil 5.9.8
pure-eval 0.2.2
pyarrow 15.0.0
pycparser 2.21
Pygments 2.17.2
pyparsing 3.1.1
python-dateutil 2.8.2
python-json-logger 2.0.7
pytz 2024.1
pywin32 306
pywinpty 2.0.12
PyYAML 6.0.1
pyzmq 25.1.2
qtconsole 5.5.1
QtPy 2.4.1
referencing 0.33.0
requests 2.31.0
rfc3339-validator 0.1.4
rfc3986-validator 0.1.1
rpds-py 0.17.1
scipy 1.12.0
Send2Trash 1.8.2
six 1.16.0
sniffio 1.3.0
soupsieve 2.5
stack-data 0.6.3
terminado 0.18.0
tinycss2 1.2.1
tornado 6.4
traitlets 5.14.1
types-python-dateutil 2.8.19.20240106
tzdata 2023.4
uri-template 1.3.0
urllib3 2.2.0
wcwidth 0.2.13
webcolors 1.13
webencodings 0.5.1
websocket-client 1.7.0
widgetsnbextension 4.0.10