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Python Programming Course Overview

Python Programming Course Overview

The Python Programming course is a comprehensive python bootcamp course designed to introduce learners to the versatile world of Python, one of the most popular and in-demand programming languages today. This course covers everything from the basics of Python syntax and programming concepts to advanced topics like Object-oriented programming and GUI development.

Starting with Module 1, learners will get acquainted with Python, how to install it across different operating systems, and explore Python IDLE for interactive and scripting modes of programming. As they progress, they will delve into Types, Variables, Flow control with if/else/elif statements, Loops, and data structures such as tuples, lists, and dictionaries. The course also covers Functions, File operations, Exception handling, and the principles of Object-oriented programming, which are essential for writing robust and maintainable code.

Further, the course provides a deep dive into writing and using Modules, underscored by the importance of structuring code for reusability and maintainability. By the end of the bootcamp python course, learners will be equipped to develop graphical applications using Tkinter, emphasizing Event-driven programming to create interactive user interfaces.

Structured to cater to both beginners and those looking to sharpen their programming skills, this Python bootcamp course is an excellent stepping stone towards becoming a proficient Python developer.

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Course Fee 1,700
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Course Advisor

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Sunny Sirohi

6+ Years Experience

Highly motivated corporate trainer with 5+ years of experience in delivering training in Linux for Red Hat and other vendors like SUSE, LPI, and LF across diverse industries. Proven success in leveraging educational theories and methodologies to design, develop, and deliver successful training and integrate instructional technologies. Adapt at organizing and facilitating management in Team Building, Imparting Technical Training, Consulting, and Management.

Python Programming
Advanced Python
Advanced Python Programming

Target Audience for Python Programming

  1. Koenig Solutions' Python Programming course offers foundational to advanced skills for aspiring developers and IT professionals.


  2. Target Audience and Job Roles:


  • Beginner software developers seeking to learn Python
  • Data analysts who want to leverage Python for data manipulation and analysis
  • IT professionals looking to automate tasks or develop scripts with Python
  • Students and academic researchers requiring Python for scientific computing
  • Quality assurance engineers interested in writing test scripts
  • System administrators for scripting and automation
  • Technical professionals transitioning into programming roles
  • Web developers who intend to use Python for backend development
  • Hobbyists and DIY enthusiasts looking to apply Python in hardware projects (e.g., Raspberry Pi)
  • Professionals in data-intensive fields (finance, biology, etc.) looking for a powerful scripting language
  • Educators and trainers teaching programming concepts
  • Entrepreneurs and business owners needing to understand the technical aspects of their products or services


Learning Objectives - What you will Learn in this Python Programming?

Introduction to the Course's Learning Outcomes and Concepts Covered:

This Python Programming course equips students with a comprehensive understanding of Python's core principles, from installation to advanced object-oriented programming, ensuring a solid foundation in writing efficient Python code.

Learning Objectives and Outcomes:

  • Gain proficiency in installing Python and setting up the programming environment on different operating systems.
  • Understand and apply Python's data types, variables, and input/output operations to manage and manipulate data.
  • Master the use of control flow statements like if, elif, else, while, and for loops to create logical and iterative code structures.
  • Develop the skill to work with Python's data collections such as lists, tuples, and dictionaries, including their creation, manipulation, and practical application.
  • Learn to define and use functions with parameters, return values, and variable scope, enhancing code reusability and modularity.
  • Acquire the ability to perform file operations in Python, including reading from and writing to files, and understand how to handle exceptions for robust code.
  • Understand the concepts of object-oriented programming in Python, including creating classes, objects, and using inheritance and polymorphism for more complex code structures.
  • Explore Python modules, learning how to use, write, and import them to organize and reuse code effectively.
  • Delve into graphical application development using Tkinter, understanding the basics of GUI design and event-driven programming.
  • Develop a practical understanding of Python programming that can be applied to real-world problem-solving, enabling the creation of efficient, maintainable, and scalable Python applications.

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