A high-level, all-purpose programming language is Python. Code readability is prioritized in its design philosophy, which makes heavy use of indentation.
Python uses garbage collection and has dynamic typing. It supports a variety of programming paradigms, including procedural, object-oriented, and functional programming as well as structured programming (especially this). Due to its extensive standard library, it is frequently referred to as a "batteries included" language.
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Course syllabus
• Introduction
• Environment
• Data types
• Decision Loops
• Operators
• Numbers Handling
• Text Handling
• Date Time Management
• Function Management
• Modules
• File Handling
• Exception handling
• OOPS
• Database Management
• SQL Lite
• Graphical User Interface
• Networking Components
• Regular Expressions
• XML Data Management
• Analytics
• Data Analytics
• NumPy
• Pandas
• PyCharm | Notebook
• Web Applications
• Django Framework
• Flask
• CherryPy
• Web2py
• SciPy
• Matplotlib
• Scikit-learn
• Project Management Practices
• Agile Approach
• Version Control : GIT
• Automation : Selenium
• Cloud Deployment Web Apps
• Machine Learning : PySpark
• Artificial Intelligence : TensorFlow
