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Course Name
Course Code : PRO26
Venue Details
Postal Code : 2
Session Dates
Duration: 3 days (21 hours)
Python training from basic to advanced covers a comprehensive range of topics, starting with fundamental concepts like syntax, variables, data types, and control structures. As learners progress, they dive into intermediate topics such as object-oriented programming, file handling, and error management. The advanced phase includes working with libraries like NumPy, pandas, and matplotlib, along with topics like database integration, web development, and API usage. Training also emphasizes best practices like code optimization, testing, and version control using Git. By the end of the course, participants gain the skills to develop complex applications and leverage Python's versatility in domains such as data science, automation, and machine learning.
Python Fundamentals and Core Concepts Introduction to Python Overview of Python and its applications Setting up Python environment (IDEs, virtual environments) Writing and running basic Python scripts Practical exercise: Writing a "Hello World" Python program Variables, Data Types, and Operators Understanding variables, data types, and type conversion Working with arithmetic, comparison, and logical operators Practical exercise Control Flow and Looping Conditional statements: if, elif, else Looping with for and while loops Practical exercise Functions and Modules Defining and calling functions Function parameters, return values, and scope Introduction to Python modules and libraries Practical exercise Data Structures, OOP, and Error Handling Working with Data Structures Lists, tuples, dictionaries, and sets List comprehensions and data manipulation techniques Practical exercise Object-Oriented Programming (OOP) Defining classes and objects Understanding inheritance, polymorphism, and encapsulation Practical exercise Error Handling and Debugging Introduction to exception handling using try, except, and finally Debugging techniques in Python using print statements and debuggers Practical exercise File Handling and I/O Operations Reading and writing files in Python Working with file modes (r, w, a, rb, wb) Practical exercise Advanced Python Features and Applications Advanced Python Features Working with lambda functions, map, filter, and reduce Using decorators and higher-order functions Understanding and using Python generators Practical exercise Multithreading and Concurrency Introduction to multithreading in Python Working with the threading module Practical exercise Data Analysis with Python Introduction to NumPy for numerical computing Introduction to Pandas for data manipulation Practical exercise Course Recap and Q&A Session Summary of key concepts covered in the course Open floor for questions and discussion Final thoughts and resources for further learning
Mode of Delivery : The event can be attended both online and at nearby ProgNXT classroom by Individual Professionals and Corporate Employees as per the seat availability. Please Contact Us at [email protected] for checking the seat availability
Audience : We have a global audience that logs in to using their own computers to work hand in hand with our world-class instructors.
Assessment : Each training course will have ProgNXT Assessment at the end.
Certification : After successful passing of ProgNXT Assessment, ProgNXT Certification will be provided, which has got acceptance in 55+ Countries.
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