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Course Highlights

  • This course is tailored for experienced programmers who want to quickly get up to speed with Python. It’s structured in short, interactive articles you can skim, dive into, or use as a reference guide. Whether you’re new to Python or need to refresh your knowledge, this course will help you develop a solid understanding of Python’s core concepts and syntax.

  • Skill Type

  • Course Duration

  • Domain

  • GOI Incentive applicable

  • Course Category

  • Nasscom Assessment

  • Placement Assistance

  • Certificate Earned

  • Content Alignment Type

  • NOS Details

  • Mode of Delivery

Course Details

Learning Objectives

What will you learn in the Python for Programmers Course?

  • Understand Python Syntax and Structure:
    Quickly grasp Python’s indentation-based structure and clean syntax compared to other languages.
  • Work with Core Python Data Types:
    Use strings, lists, tuples, dictionaries, and sets to store and manipulate data.
  • Write Functions and Use Built-in Methods:
    Define and call functions, understand arguments, return values, and leverage Python's extensive standard library.
  • Implement Control Flow and Looping Logic:
    Use if, else, elif, for, and while loops to direct program flow.
  • Handle Errors with Exception Handling:
    Write robust code using try, except, finally, and custom error-handling techniques.
  • Use List Comprehensions and Lambda Functions:
    Write concise and Pythonic code using advanced language features.
  • Read and Write Files:
    Perform file input/output operations for data processing and automation tasks.
  • Work with Modules and Packages:
    Import and use built-in or external libraries to extend functionality.
  • Understand Pythonic Conventions and Best Practices:
    Write readable, maintainable code that aligns with PEP 8 and modern Python standards.
  • Lay the Groundwork for Advanced Topics:
    Be prepared to explore areas like web development, data analysis, or machine learning using Python.
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Reasons to enrol

Why should you take the Python for Programmers Course?

  • Fast-Track Your Python Skills:
    Designed specifically for experienced programmers, this course skips the basics of programming logic and dives straight into Python syntax and structure.
  • Leverage Your Existing Coding Knowledge:
    Quickly transition from languages like Java, C++, or JavaScript to Python with minimal friction.
  • Python Is in High Demand:
    Python is widely used in fields like web development, data science, automation, AI, and DevOps — mastering it opens doors across tech roles.
  • Clean, Readable Syntax:
    Learn a language that emphasizes clarity and brevity, making development faster and maintenance easier.
  • Use in Real-World Projects:
    Apply Python in automation scripts, backend APIs, data pipelines, and more.
  • Excellent Standard Library and Ecosystem:
    Take advantage of Python’s powerful libraries and tools to build and deploy real applications efficiently.
  • Career Advancement:
    Adding Python to your toolkit enhances your resume, increases job opportunities, and prepares you for full-stack or cross-functional roles.
  • Great for Interview Prep:
    Python is a common choice in technical interviews - mastering it boosts your problem-solving and algorithmic skills.
  • Step Toward Advanced Domains:
    Prepare for further learning in areas like machine learning, data engineering, or cybersecurity using Python.
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Ideal Participants

Who should take the Python for Programmers Course?

  • Experienced Developers New to Python:
    Programmers familiar with languages like Java, C++, JavaScript, or Ruby who want to quickly learn Python.
  • Software Engineers Expanding Their Toolkit:
    Professionals looking to add Python to their skillset for web development, automation, or scripting.
  • Data Analysts and Engineers:
    Those transitioning into data-driven roles and need Python as a foundational tool.
  • DevOps and System Administrators:
    IT professionals who want to use Python for automating tasks, managing systems, or building tools.
  • Machine Learning and AI Enthusiasts:
    Individuals preparing to dive into advanced topics like ML, AI, or deep learning where Python is essential.
  • Backend and Full-Stack Developers:
    Developers moving into Python-based web frameworks like Django or Flask.
  • Professionals Preparing for Technical Interviews:
    Coders seeking to sharpen their Python knowledge for coding interviews or competitive programming.
  • STEM Students with Coding Background:
    University students with programming experience who need Python for academic or research purposes.
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Curriculum

Curriculum

1. Getting Started with Python
An overview of what to expect in Python for Programmers as well as Python fundamentals.

  • Article - Welcome to Python 3 for Programmers
  • Article - Why Python 3?
  • Article - Python Style Guide
  • Article - Command Line and IDEs

2. Basic Syntax with Python
An overview of basic syntax in Python.

  • Article - Program Structure
  • Article - Comments
  • Article - Input and Output
  • Article - Variables
  • Article - Data Types
  • Article - Operators

3. Control Flow in Python
Learn how to control the flow of execution in Python.

  • Article - if, elif, else
  • Article - Loops Article - Pass, Break, Continue
  • Article - Python Code Challenges: Loops
  • Article - Python Code Challenges: Loops (Advanced)
  • Article - Error Handling Article - Python Code Challenges: Control Flow
  • Article - Python Code Challenges: Control Flow (Advanced)

4. Functions
Learn how to write functions (including anonymous ones) in Python.

  • Article - Function Basics
  • Article - Recursion
  • Article - Lambda Functions
  • Article - Python Code Challenges: Functions
  • Article - Python Code Challenges: Functions (Advanced)

5. Object-Oriented Programming in Python
An overview of object-oriented programming in Python.

  • Article - Classes and Objects
  • Article - Constructors and Destructors
  • Article - Access Modifications
  • Article - Encapsulation
  • Article - Inheritance
  • Article - Polymorphism

6. Built-In Data Structures
Learn about build-in data structures in Python, like Strings, Lists, Tuples, Dictionaries, Sets, and Queues and Stacks.

  • Article - String Methods
  • Article - Lists
  • Article - Tuples
  • Article - Dictionaries
  • Article - Sets
  • Article - Queues and Stacks
  • Article - Python Code Challenges: Lists
  • Article - Python Code Challenges: Lists (Advanced)
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skills and tools

Tools you will learn in the Python for Programmers Course

  • Understand Python syntax
  • Work with arrays
  • Learn object-oriented programming
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