DataScienceTools.sh

DataScienceTools.sh

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+#!/bin/bash
+
+# Install the Gekko optimization library
+pip install gekko
+
+# Install BeautifulSoup4 and lxml for web scraping
+pip install beautifulsoup4 lxml
+
+# Repeated installation of Gekko; you can remove this line as it's redundant
+pip install gekko
+
+# Install Keras for deep learning
+pip install keras
+
+# Install Matplotlib for data visualization
+pip install matplotlib
+
+# Install NumPy for numerical computations
+pip install numpy
+
+# Install OpenCV-Python for computer vision tasks
+pip install opencv-python
+
+# Install Pandas for data manipulation
+pip install pandas
+
+# Install Pandas Profiling for exploratory data analysis (with notebook support)
+pip install pandas-profiling[notebook]
+
+# Enable Jupyter Notebook widget extensions
+jupyter nbextension enable --py widgetsnbextension
+
+# Install Plotly for interactive data visualization
+pip install plotly
+
+# Install PyTorch for deep learning
+pip install torch
+
+# Install scikit-learn for machine learning tasks
+pip install scikit-learn
+
+# Install SciPy for scientific and technical computing
+pip install scipy
+
+# Install Seaborn for data visualization
+pip install seaborn
+
+# Install StatsModels for statistical modeling
+pip install statsmodels
+
+# Install the TcLab package
+pip install tclab
+
+# Install TensorFlow for deep learning
+pip install tensorflow
+
+# Install XGBoost for gradient boosting
+pip install xgboost
+
+# List all installed packages and their versions
+pip list
+