PYTHON
What is Python?
Python is a popular, general-purpose programming language.
Python is a high-level, object-oriented language that's easy to learn and use. It has an
easy-to-read syntax and is considered beginner-friendly. Python is also open source and free to
download.
Course duration and Job Scopes
This Course duration is 6 months for basics of Python.
Job Scopes : Web development, Database analysis, Machine learning,Software engineering, Product
management, Freelance work.
Web Development with Python
Web development is the process of building and maintaining websites and web applications,
encompassing both front-end (client-side) and back-end (server-side) development. It involves
coding, designing, and deploying online platforms to provide users with interactive and functional
experiences.
Python is used for back-end web development through frameworks like Django and Flask, which handle
server-side logic and database interactions. It facilitates the creation of RESTful APIs for data
exchange and incorporates security features for user authentication and data protection.
Database Analysis with Python
Database analysis is the process of inspecting, cleaning, and modeling data to uncover useful
information, draw conclusions, and support decision-making. It involves various techniques and tools
to transform raw data into actionable insights across different fields and industries.
Python is widely used in database analysis for its powerful libraries like NumPy, pandas, and
Matplotlib, which enable data manipulation, statistical analysis, and visualization. It simplifies
the process of extracting insights from large datasets efficiently.
Machine Learning with Python
Machine learning is a branch of artificial intelligence where systems learn from data to make
predictions or decisions without being explicitly programmed. It involves algorithms that improve
automatically through experience.
Python is extensively used in machine learning due to its libraries like Scikit-learn, TensorFlow,
and Keras, which provide tools for building and training models. These libraries simplify tasks such
as data preprocessing, model selection, and evaluation. Python's simplicity and versatility make it
ideal for implementing machine learning algorithms and workflows.