Python Libraries that
Developer should know:
1. NumPy:
- Array handling & math functions
numpy.array(), numpy.mean(), numpy.dot()
2. Pandas:
- Data manipulation & analysis
pandas.DataFrame(), pandas.read_csv(), groupby()
3. Matplotlib:
- Data visualization
pyplot.plot(), pyplot.bar(), pyplot.show()
4. Seaborn:
- Statistical visualizations
seaborn.heatmap(), pairplotO. boxplot()
5. Scikit-learn:
- Machine learnin models
train_test_split(), LinearRegression(). accuracy_score()
6. TensorFlow:
- Deep learning models
Sequential(), Dense(), compile()
7. Keras:
- High-level deep learning API
Sequential(). Conv2D(), fit()
8. SciPy:
- Scientific computations
minimize(), quad(), norm()
9. Plotly:
- Interactive plots
scatter(), line(), Figure()
10. Statsmodels:
- Statistical modeling
OLS(), ARIMA(), Logit()