Start Your Journey in Python Programming

Begin your path to becoming a Python developer. Learn Python's syntax, libraries, and frameworks to build applications in data science, web development, automation, and more.

Python Programming

Description

Training Curriculum for Freshers for Service Delivery Team

Python Training Program at Urbancode empowers you to adeptly grasp the core concepts of this programming language. Upon program completion, you'll emerge as an expert capable of crafting Python programs for diverse use cases, leveraging advanced features like Generators, Iterators, Lambda expressions, Functions, File handling, and exception handling.

Learning Approach

Hands-on Projects and Assignments
Practical exercises and real-world projects to reinforce learning.

Interactive Learning Resources
Tutorials, coding exercises, and resources for a deeper understanding.

Assessments and Quizzes
Regular assessments and quizzes to gauge progress

This course includes

  • 40 hrs Instructor-Led Training & Project Work
  • Job Assistance
  • Mentor Support
  • Certificate of completion

Course content

Introduction to Python

  • Overview of Python
  • Introduction to Python programming language, its applications, and features.
  • Installing Python and setting up the development environment.

Basic Python Syntax and Data Types

  • Python Syntax Fundamentals
  • Understanding basic syntax, indentation, and code structure.
  • Exploring variables, data types, and operators in Python.

Control Structures

  • Control Flow
  • Exploring decision-making with if, else, and elif statements.
  • Implementing loops: for loops, while loops, and loop control statements.

Functions and Modules

  1. Functions in Python
    • Creating and utilizing functions, parameters, and return statements.
    • Introduction to built-in and user-defined functions.
  2. Python Modules
    • Importing and using modules in Python.
    • Creating and using custom modules.

Data Structures

  • Lists, Tuples, and Dictionaries
  • Understanding and working with different data structures
  • Manipulating lists, tuples, and dictionaries.

File Handling

  • Working with Files
  • Reading and writing files in Python.
  • Handling different file formats and operations.

Error Handling and Exception

  • Error Handling
  • Introduction to exceptions and error handling in Python.
  • Using try, except, and finally blocks.

Introduction to OOP

  • Introduction to Object-Oriented Programming (OOP)
  • Understanding OOP concepts: classes, objects, and inheritance.
  • Creating classes and objects in Python.

Introduction to Librarie

  • Overview of Python Libraries
  • Introduction to commonly used libraries such as NumPy, Pandas, and Matplotlib.
  • Basics of using libraries for data analysis and visualization.

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