Libraries for Data Science - Python

NumPy - for array manipulation and algebraic operations (matrix multiplication)
Pandas - for dataframes
Scikit-Learn - for general machine learning
XGBoost - gradient boosting trees implementation
Flask - for serving the models
TensorFlow or PyTorch or MXNet - for deep learning
Matplotlib and Seaborn - for visualization
Airflow - for building data pipelines