This comprehensive course provides a thorough exploration of Python programming, starting from the fundamentals and progressing to advanced topics such as object-oriented programming, modular design, GUI development, network programming, and database integration. Through hands-on exercises and real-world examples, learners will gain a deep understanding of Python’s capabilities and develop the skills necessary to build robust, scalable, and efficient applications.
Once enrolled, our friendly support team is here to help with any course-related inquiries.
Learning Outcomes
• Master core Python programming concepts, including data types, control structures, functions, and data structures
• Develop proficiency in object-oriented programming principles, such as classes, inheritance, and polymorphism
• Understand modular programming concepts and utilize Python’s built-in and third-party modules effectively
• Learn advanced Python features, including decorators, metaprogramming, and serialization techniques
Delivery Format
Instructor-led course
Delivered online via live virtual sessions
Scheduled every month
Course Benefits
- Career Advancement
- Flexible Learning
- Continuous Learning Opportunities
- Mini-projects/Lab activity documents/Configuration guides
- Quizzes
- Programming-based assessment
- A Capstone project
- Industry Relevance
Instructors
All courses are taught by experienced trainers with a minimum of eight years of industry experience.
Modules
1. What is computer programming
2. Introduction to Python
3. Downloading and installing Python
1. Literals
2. Operators
3. Variables
4. Comments
5. Using the program for interaction
1. Decision making
2. Loops
3. Logical operations
4. Bitwise operations
1. Lists
2. Tuples
3. Dictionaries
4. Sets
1. Modules and Packages
2. Python Package Installer (PIP)
3. Introduction to select Python modules
1. Representation in computers
2. String in Python
3. String Operations
4. String methods
5. More about strings
1. What is OOP?
2. Properties and Methods
3. Inheritance
4. Encapsulation
5. Polymorphism
6. Abstraction
7. Basics of OOP
8. Introspection
9. Exceptions are classes
1. Basics
2. Creating our own module and package
3. Searching for/through modules/packages
4. Nested packages vs. directory trees
1. Basics
2. Variants of except
3. Hierarchy of exceptions in Python
4. Handling more than one exception
5. raise instruction
6. assert instruction
7. Useful exceptions in Python
1. List comprehension
2. Lambdas
3. Iterators and Generators
4. Closures
Prerequisites
No prior programming experience is required, but basic computer literacy is recommended
Audience
• Beginners who want to learn Python programming from scratch
• Experienced programmers from other languages looking to transition to Python
• Developers aiming to enhance their Python skills and knowledge
• Professionals interested in leveraging Python for data analysis, automation, or web development
• Students pursuing computer science or related technical fields
How do I Access The Program
- Buy the course online
- Save your payment transaction receipt for any future reference
- The programs will commence only upon formation of a minimum batch of 20 participants
Bulk Orders
Incase you are looking for bulk user licenses, or customized Learning Paths for various Job Roles, reach out to us with your detailed requirements.
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