The easiest way to learn Python in-depth and build complex, scalable programs!
What you will learn
You will learn to create professional real-world programs in Python the ultimate OOP way!
Learn how to plan your Python programs before writing them!
Learn and apply proper design principles when programming in Python!
Learn to troubleshoot code issues using debuggers!
Get a deep understanding of how Python works under the hood!
Learn to write highly organized modular code!
You will build large real-world Python applications.
Description
On successful completion of the course, you will be able to program in the professional object-oriented programming (OOP) paradigm in Python, which allows you to start your programmer career. All professional Python programmers develop applications the OOP way. You, too, will be able to write complex, scalable programs in Python on completion of this course.
The course follows a practical approach where students learn by actively problem-solving towards the tangible goal of creating real-world Python programs. The course covers real-world Python programs that you will develop using the object-oriented programming (OOP) paradigm.
Apart from learning Python, in this course, students also learn to use all the necessary tools and techniques they need to become a professional Python programmer. These are software design principles, writing highly organized code, code planning, code refactoring, SQL databases, and more.
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We designed this course for both absolute and non-absolute beginners. However, if you are an intermediate who knows Python well, you may still benefit from the course because it covers some advanced Python and programming concepts that you will hardly find anywhere else. Advanced concepts, such as abstract classes, class methods, composition, refactoring, etc., will be comprehensively covered and practiced in the course.
Do I need previous experience with other programming languages to take this course?
No. In fact, in this course, you will not merely learn Python syntax. You will understand Python from the inside-out from the computer science perspective so that you will have a deeper understanding of how programming works.
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Content
Add-On Information:
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Course Overview
- Designed meticulously for absolute beginners, assuming no prior programming knowledge whatsoever.
- Embark on a structured journey from understanding basic Python syntax to mastering advanced object-oriented programming concepts.
- Features a strong emphasis on practical application through engaging, hands-on coding exercises and real-world projects.
- Follows a clear, progressive curriculum ensuring a solid understanding of each topic before advancing.
- Cultivates a robust problem-solving mindset, equipping you to approach computational challenges effectively using Python.
- Explores essential Python data structures like lists, dictionaries, and sets, along with fundamental algorithms for efficient data manipulation.
- Instills best practices for writing clean, readable, and maintainable code right from your first line.
- Prepares you for real-world software development scenarios by simulating industry-standard project workflows and challenges.
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Requirements / Prerequisites
- Zero prior coding experience is assumed or necessary; this course starts from the very beginning.
- A desktop or laptop computer (Windows, macOS, or Linux) capable of running modern software.
- Reliable internet access for streaming lessons, downloading resources, and conducting research.
- A genuine enthusiasm and willingness to learn one of the world’s most versatile programming languages.
- Basic computer literacy, including navigating file systems, managing applications, and using a web browser.
- No specialized hardware or software purchases are required; all necessary tools will be free and set up during the course.
- A commitment to consistent practice and dedication to actively engage with the course material for optimal learning outcomes.
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Skills Covered / Tools Used
- Mastering Python’s fundamental data types: integers, floats, strings, booleans, and their operations.
- Proficiently working with Python’s core data structures: lists, tuples, dictionaries, and sets for various applications.
- Implementing effective control flow using conditional statements (if/else, elif) and iterative loops (for, while).
- Defining and utilizing functions for modular code, promoting reusability and organization.
- Handling program errors gracefully using try-except blocks for robust and fault-tolerant applications.
- Performing file input/output (I/O) operations to read from and write to various file formats.
- Understanding and using external Python libraries and package management with
pipfor extending functionality. - Setting up and efficiently using a professional Integrated Development Environment (IDE) like VS Code or PyCharm Community Edition.
- Gaining familiarity with basic version control concepts, particularly using Git for project management and collaboration.
- Executing Python scripts and interacting with your operating system via the command line interface.
- Writing effective unit tests for your Python code to ensure correctness and prevent regressions.
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Benefits / Outcomes
- Gain the confidence to independently conceptualize, design, and implement complex programming solutions.
- Establish a strong, transferable foundation for pursuing advanced Python specializations such as web development, data science, or machine learning.
- Develop a compelling portfolio of practical Python projects that effectively showcase your acquired programming prowess to potential employers.
- Significantly enhance your logical thinking, critical analysis, and problem-solving abilities, skills valuable in any professional domain.
- Be well-equipped to contribute to open-source projects or seamlessly integrate into collaborative software development teams.
- Unlock opportunities for entry-level Python developer positions or leverage Python to automate tasks and improve efficiency in your current role.
- Understand and apply industry-standard software development practices, preparing you for long-term career growth in tech.
- Emerge as a proficient Python programmer, capable of building functional, efficient, and robust applications from scratch.
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PROS
- Beginner-friendly approach ensures a smooth and accessible learning curve for absolute novices.
- Comprehensive curriculum covering both fundamental and advanced topics for a deep, holistic understanding of Python.
- Strong emphasis on practical, project-based learning to solidify concepts and build a tangible portfolio.
- Focus on professional development practices and clean code prepares you directly for real-world job roles.
- Learn Python in a 2025 context, ensuring up-to-date best practices, libraries, and language features.
- Designed to make complex concepts remarkably easy to grasp, fostering confidence and encouraging continuous learning.
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CONS
- Requires consistent time commitment and self-discipline to practice regularly and master the comprehensive material.
Introduction of scripting
Scripting and types of Scripting languages
Difference between scripting and programming language
Explanation of Programming language paradigm
Programming language paradigm
Introduction of Python
History of python
Python file extensions
Explanation of Python script
Python script mode
About Python
Characteristics and features of python
Python comments
IDE and Debugging
Pycharm IDE
Debugging python code
Explanation of Variables
Python Variables
Explanation of python code(or) statement
Python Datatypes
Python Numerical Datatypes
Python Literals
Python Binary,octa,Hexa decimal literals
Explanation of order of operations
Order of operations
Python MATH module
Python MATH module
Python MATH module part-2
Explanation of Number type conversions
Number type conversions in python
Python String Operations
Python String operations
Special characters in strings
String Indices in python
Updating Strings in python
String Formatting operator in Python
Python Identifiers
Structuring with Indentation in Python
String Library in Python
Max method in Python
Split method in Python
Datastructures in python
Data
Datastructure
Types of Datastructures
Datastructures in python
Lists in Python
Lists Implementation in python
Tuples in python
Set in python
Python Dictionaries
Working with Python Lists
Basic operations on Lists
Accessing elements from Lists
Pre-defined methods of Lists
Python Enumerate method
Working with Tuple
Pre-defined methods of Tuple
Built-in functions of Tuple
Working with set
Iterating sets using for loop
Working with python Dictionaries
Python Operators
Operators in Python
Arithmetic operators in python
Comparison operators in python
Assignment operators in Python
Logical operators in python
Special operators in python
Python Bitwise and operator
Python Bitwise or operator
Python Bitwise XOR Operator
Bitwise compliment operator
Binary Left shift and Right shift operators
Working with Range function
Range function in Python
Example of Range function
Functions in Python
Types of functions in Python
Defining and calling a function in python
Python module
Working with Python module
OOPS IN Python
OOPS in python
Class,object,method in python
Inheritance in python
Abstraction in OOPS Python
Example of Abstract class,method in python
Working with Multi-threading
Multi-threading in python
Example of Multi-threading
Working with Access specifiers
Working with Access Specifiers in Python
Python errors
Working with Python errors