Python

The Python course aims to provide a comprehensive understanding of Python programming, from foundational concepts to advanced application development. Participants will learn fundamental programming principles, object-oriented programming, and DevOps practices. Through hands-on exercises, they'll master Python syntax, virtual environments, and popular IDEs like Jupyter Notebook and Google Colab.

The course emphasizes strong logic and problem-solving skills with decision-making structures and looping constructs. Additionally, learners will explore advanced topics such as numeric and string processing, exception handling, and web development frameworks like Flask and Django. The ultimate goal is to enable participants to design, develop, and deploy full-stack web applications efficiently.

Course Outcome:

•  Grasp fundamental programming concepts, including data types, variables, and control flow, along with an introduction to object-oriented programming.
•  Acquire knowledge of the Application Development Life Cycle (ADLC) and its importance in software development projects. Gain proficiency in Python syntax, working with virtual environments, and utilizing popular IDEs like Jupyter Notebook and Google Colab.
•  Understand Python tokens such as keywords, variables, constants, and operators for effective code construction. Master decision-making structures, looping constructs, and implement PyTest for continuous testing to ensure code reliability.
•  Explore numeric and string processing functions, including handling date/time data, lists, tuples, dictionaries, and sets. Learn to implement various functions, modules, and libraries, including user-defined, lambda, and recursive functions, along with file input/output operations.
•  Delve into advanced topics such as exception handling, regular expressions (Regex), CGI scripting, and web development frameworks like Flask and Django Design, develop, and deploy a full-stack web application.