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Part-10 Master Python Libraries #pandas #numpy #pythonprogramming #dataanalyticswithpython

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📂 Step 10: Master Python Libraries 🐍
Python libraries make your coding faster and easier! Here are 3 essential libraries for data science:
1️⃣ NumPy: Quick calculations with arrays.
import numpy as np
# Output: 2.5
2️⃣ Pandas: Work with data tables and analysis.
import pandas as pd
data = {'Name': ['Alice', 'Bob'], 'Age': [25, 30]}
df = pd.DataFrame(data)
print(df)
3️⃣ Matplotlib: Create visual charts.
x = [1, 2, 3, 4]
y = [10, 20, 30, 40]
Follow @bytecraftds for more Python tips! 🚀
#python #numpy #pandas #matplotlib #datascience #bytecraftds #learnpython #shorts #viralshorts #tutorial #education
Python libraries make your coding faster and easier! Here are 3 essential libraries for data science:
1️⃣ NumPy: Quick calculations with arrays.
import numpy as np
# Output: 2.5
2️⃣ Pandas: Work with data tables and analysis.
import pandas as pd
data = {'Name': ['Alice', 'Bob'], 'Age': [25, 30]}
df = pd.DataFrame(data)
print(df)
3️⃣ Matplotlib: Create visual charts.
x = [1, 2, 3, 4]
y = [10, 20, 30, 40]
Follow @bytecraftds for more Python tips! 🚀
#python #numpy #pandas #matplotlib #datascience #bytecraftds #learnpython #shorts #viralshorts #tutorial #education