?? ???? Amazon?? ? ?? ????? ????. ???? ??? ????? ???? Medium?? ?? ??????. ??? ?? ??????!

???? ??? ???? ??? ??? ??? ???? ??? ?????. Python ??????? ?? ??? ??? ??? ?? ?????? ??? ??????. ? ????? ??? ?? ??? ?? ???? 7?? ??? Python ?????? ?????.

?? ?????? Matplotlib? ??? ?? ?? ??? ?? ??? ???? ?????. ???? ??? ??? ???? ?? ?????. ??? ? ??? ?:

<code>import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(0, 10, 100)
y = np.sin(x)

plt.plot(x, y)
plt.title('Sine Wave')
plt.xlabel('x')
plt.ylabel('sin(x)')
plt.show()</code>

Matplotlib? ???? ??? Seaborn? ?? ???? ???? ????? ???? ?? ???? ???? ?? ??? ???? ?????? ?????. ?? ??? ??? ??? ??? ??? ? ?? ?????. ???? ??? ??? ??:

<code>import seaborn as sns
import matplotlib.pyplot as plt

tips = sns.load_dataset("tips")
sns.regplot(x="total_bill", y="tip", data=tips)
plt.title('Tip vs Total Bill')
plt.show()</code>

? ??? ??? ??? ???? ?? Plotly? ?????. ? ??? ???? ??? ??? ??? ?? ???? ????. ??? ? ??? ?:

<code>import plotly.graph_objects as go
import numpy as np

x = np.linspace(0, 10, 100)
y = np.sin(x)

fig = go.Figure(data=go.Scatter(x=x, y=y, mode='lines'))
fig.update_layout(title='Interactive Sine Wave', xaxis_title='x', yaxis_title='sin(x)')
fig.show()</code>

Vega ? Vega-Lite? ???? ?? ??? ?????? Altair? ??? ???, ?? ??? ?? ? ??? ???? ???? ?? ??? ?????. ??? ?? ?:

<code>import altair as alt
from vega_datasets import data

source = data.cars()

chart = alt.Chart(source).mark_circle().encode(
    x='Horsepower',
    y='Miles_per_Gallon',
    color='Origin',
    tooltip=['Name', 'Origin', 'Horsepower', 'Miles_per_Gallon']
).interactive()

chart.save('interactive_scatter_plot.html')</code>

Vispy? ??? GPU ?? 2D ? 3D ???? ???? ??? ??? ?? ?? ??? ??????? ??????. ??? 3D ??? ??:

<code>import numpy as np
from vispy import app, scene

canvas = scene.SceneCanvas(keys='interactive', size=(800, 600), show=True)

view = canvas.central_widget.add_view()

# generate data
pos = np.random.normal(size=(1000, 3), scale=0.2)
colors = np.random.uniform(low=0.5, high=1, size=(1000, 3))

# create scatter visual
scatter = scene.visuals.Markers()
scatter.set_data(pos, edge_color=None, face_color=colors, size=5)

view.add(scatter)

view.camera = 'turntable'

app.run()</code>

Pygal? ? ??????? ?? ??? ? ?? ???? ?? ??? SVG ??? ????. ?? ?? ?:

<code>import pygal

bar_chart = pygal.Bar()
bar_chart.title = 'Browser usage evolution (in %)'
bar_chart.x_labels = map(str, range(2002, 2013))
bar_chart.add('Firefox', [None, None, 0, 16.6, 25, 31, 36.4, 45.5, 46.3, 42.8, 37.1])
bar_chart.add('Chrome', [None, None, None, None, None, None, 0, 3.9, 10.8, 23.8, 35.3])
bar_chart.add('IE', [85.8, 84.6, 84.7, 74.5, 66, 58.6, 54.7, 44.8, 36.2, 26.6, 20.1])
bar_chart.add('Others', [14.2, 15.4, 15.3, 8.9, 9, 10.4, 8.9, 5.8, 6.7, 6.8, 7.5])
bar_chart.render_to_file('bar_chart.svg')</code>

Yellowbrick? ?? ?? ???? ?? Scikit-learn? ???? ???? ????? ?? ?? ???? ?????. ?? ?? ?:

<code>from sklearn.model_selection import train_test_split
from sklearn.svm import LinearSVC
from yellowbrick.classifier import ConfusionMatrix
from sklearn.datasets import load_iris

iris = load_iris()
X_train, X_test, y_train, y_test = train_test_split(iris.data, iris.target, test_size=0.2, random_state=42)

model = LinearSVC()
cm = ConfusionMatrix(model, classes=iris.target_names)
cm.fit(X_train, y_train)
cm.score(X_test, y_test)
cm.show()</code>

??? ??? ???? ?? ??? ?? ????. Matplotlib? ???? ??? ??? ????, Seaborn? ????? ????? ???? ????, Plotly? ??? ? ???? ????, Altair? ??? ??? ?? ?? ??? ????, Vispy? ??? ??? ?? ? 3D? ????, Pygal? ?? ??? SVG? ????, Yellowbrick? ?? ?? ?? ??? ?????. ?? Jupyter Notebook ??? ??? ?????? ???? ??? ??? ?? ? ?? ??? ?????. ?? ? ??? ??? ????? ??? ??? ????.

??? ?????? ??? ??? ??? ?? ?????. ??? ??? ??? ???? ???? ???? ?? ??? ???? ?? ?????. ??? ?????. ???? ??? ??? ???? ???? ????? ???? ????.

??? ??? Matplotlib, Seaborn, Plotly, Altair, Vispy, Pygal ? Yellowbrick? ??? ?? ??? ???? ??? ?? ?? ??? ???? ?? ??? ??? ?????. ??? ??? ???!

101?

101 Books? ?? Aarav Joshi? ?? ??? AI ?? ??????. ??? AI ??? ??? ?? ?????. ?? ??? ??? $4? ???? ??? ??? ??? ? ????.

Amazon?? Golang Clean Code ?? ?????.

???? ? ? ???? ?? ?? ??? ?????. ? ?? ???? ?? ??? ??? Amazon?? Aarav Joshi? ?????!

??? ???

?? ???? ????:

???? ??? | Investor Central(????) | Investor Central(???) | ????? | ??? ??? | ????? ???? | ???? | ??? ??? | JS ??

Medium? ????

?? ??? ???? | Epochs & Echoes World | ??????? | ???? ???? ?? | ??? ??? ?? | ?? ????

? ??? ?? ??? ???? ?? ??? Python ?????: ??? ???? ?? ?????. ??? ??? PHP ??? ????? ?? ?? ??? ?????!