Python Pathway
- Description
- Curriculum
- Reviews
The course not only covers basic syntax but also introduces more complex topics like functions, data structures, and object-oriented programming. By the end of the course, you’ll be adept at handling exceptions and debugging your code, ensuring you can write efficient and error-free programs. With real-time support and a flexible learning pace, Python Pathway is perfect for anyone looking to build a strong foundation in Python programming, whether for academic purposes, career advancement, or personal enrichment.
Main Features
- Comprehensive Curriculum: Detailed coverage of all fundamental and advanced Python topics.
- Hands-On Activities: Practical exercises and projects to reinforce each topic and build real-world coding skills.
- Step-by-Step Guidance: Easy-to-follow lessons that guide you from setting up your environment to solving complex problems.
- Focus on Problem Solving: Emphasis on applying concepts to solve real-world coding challenges.
- Interactive Learning: Use of modern IDEs and interactive tools to create an engaging learning experience.
- Debugging and Testing: Training on debugging and testing techniques to develop robust and error-free programs.
- Real-Time Support: Access to mentors and community support for assistance and deeper understanding.
- Flexible Learning Pace: Complete the course in 10 hours at your own pace, accommodating your schedule and learning style.
Target Audience
- Beginners in Programming: Individuals with no prior programming experience who want to start their journey with Python.
- Students: High school or college students who need to learn Python for their academic courses or projects.
- Career Changers: Professionals from non-technical fields looking to transition into software development.
- Aspiring Developers: Individuals aiming to build a solid foundation in Python for careers in software development, data analysis, or machine learning.
- Hobbyists: Enthusiasts interested in learning Python for personal projects or to enhance their technical knowledge.
- Tech Professionals: IT professionals seeking to add Python programming to their skill set for career growth or job requirements.
Join Python Pathway and take the first step towards becoming a skilled Python programmer, capable of tackling any coding challenge with confidence and proficiency.
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1Introduction
- History and features of Python
- Setting up the development environment (installing Python and an IDE)
- Writing and running your first Python program
Activities:
- Install Python and an IDE (e.g., PyCharm, VSCode)
- Write a "Hello, World!" program
- Run the program
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2Basic Syntax and Data Types
- Structure of a Python program
- Variables and data types (int, float, str, etc.)
- Basic I/O (print, input)
Activities:
- Write a program using different data types
- Practice using print and input for output and input
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3Operators and Expressions
- Arithmetic operators
- Relational operators
- Logical operators
- Assignment operators
Activities:
- Write a program that performs arithmetic operations
- Use relational and logical operators in conditional statements
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4Control Structures
- Conditional statements (if, if-else, elif)
- Looping statements (for, while)
Activities:
- Write programs using if-else and elif
- Implement loops with for and while
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5Functions
- Defining and calling functions
- Function arguments and return values
- Scope and lifetime of variables
Activities:
- Write simple functions to perform basic tasks
- Practice passing arguments and returning values
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6Lists and Tuples
- List operations (indexing, slicing, appending)
- Tuples and their properties
Activities:
- Write programs that manipulate lists
- Use tuples in different scenarios
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7Dictionaries and Sets
- Dictionary operations (key-value pairs, adding, removing)
- Set operations (union, intersection, difference)
Activities:
- Write programs to create and manipulate dictionaries
- Use sets for various operations
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8Object-Oriented Programming (OOP) Basics
- Classes and objects
- Constructors (init method)
- Basic OOP principles (Encapsulation, Abstraction)
Activities:
- Create classes and objects
- Write constructors and use them in programs
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9Exception Handling
- Try-except blocks
- Handling multiple exceptions
- Using finally block
Activities:
- Write programs to handle exceptions
- Practice using try-except and finally blocks
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10Problem Solving and Practice
- Applying learned concepts to solve problems
- Debugging and testing techniques
Activities:
- Solve simple coding problems using Python
- Practice debugging and testing your code