Siksha Sarovar

Siksha Sarovar (sikshasarovar.com) is a free educational web application that helps students in India learn programming and prepare for academic and competitive exams. The platform offers structured coding courses (C, C++, Python, Java, HTML, CSS, PHP, Power BI, AI, Machine Learning, Data Science), complete university curriculum notes for BCA/MCA students with previous year question papers, Class 10 and Class 12 CBSE/HBSE school notes, and dedicated preparation material for SSC, UPSC, Banking, Railway and other government exams. Browsing the site is completely free and requires no account. Users may optionally sign in with Google solely to save their learning progress, quiz scores and personal preferences across devices.

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Siksha Sarovar is a free e-learning platform for coding courses, BCA university notes and competitive exam preparation. Optional Google sign-in saves your learning progress across devices.

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Unit 4: Python Libraries for Data Science

Lesson 24 of 37 in the free Data Science notes on Siksha Sarovar, written by Rohit Jangra.

Unit 4: Python Libraries for Data Science

Python's dominance in Data Science is largely due to its powerful ecosystem of open-source libraries. These libraries provide pre-built, optimized functions for data manipulation, visualization, statistical analysis, and machine learning — eliminating the need to write everything from scratch.

This unit covers the six most essential Python libraries that every data scientist must master.

The Data Science Library Stack

LibraryPurposeCategory
NumPy Numerical computing & arraysData Handling
Pandas Data manipulation & analysisData Handling
Matplotlib Static data visualizationVisualization
Seaborn Statistical data visualizationVisualization
Scikit - learn Machine learning algorithmsMachine Learning
SciPy Scientific & statistical computingScientific Computing

How They Work Together

Raw Data → [Pandas] Data Cleaning & Manipulation
         → [NumPy] Numerical Operations
         → [Matplotlib/Seaborn] Visualization & EDA
         → [Scikit-learn] Model Training & Prediction
         → [SciPy] Advanced Statistical Tests

Installation

All libraries can be installed using pip: pip install numpy pandas matplotlib seaborn scikit-learn scipy

Or with Anaconda (pre-installed): conda install numpy pandas matplotlib seaborn scikit-learn scipy