What will you in SQL for Beginners: Learn SQL using MySQL and Database Design Course
- Python Fundamentals: Master the basics of Python programming, including variables, data types, operators, and control flow.
- Object-Oriented Programming (OOP): Learn to design and implement classes and objects, encapsulation, inheritance, and polymorphism.
- Data Structures: Work with lists, dictionaries, sets, and tuples to manage and manipulate data efficiently.
- Functions and Modules: Create reusable code with functions and organize your codebase using modules and packages.
- File Handling: Read from and write to files, including text and binary files, to handle data persistence.
- Error Handling: Implement robust error handling using try-except blocks to manage exceptions gracefully.
Program Overview
Introduction to Python
⏳ 30 minutes
Overview of Python and its applications.
Setting up the Python development environment.
Variables and Data Types
⏳ 45 minutes
Understanding variables, data types, and type conversion.
Working with strings, numbers, and booleans.
Control Flow
⏳ 1 hour
Implementing conditional statements (if-else).
Using loops (for, while) for iteration.
Functions and Modules
⏳ 1 hour
Defining and calling functions.
Understanding scope and arguments.
Organizing code with modules.
Data Structures
⏳ 1.5 hours
Working with lists, tuples, sets, and dictionaries.
Performing common operations on data structures.
Object-Oriented Programming (OOP)
⏳ 2 hours
Creating classes and objects.
Implementing inheritance and polymorphism.
Understanding encapsulation and abstraction.
File Handling
⏳ 1 hour
Reading from and writing to text and binary files.
Handling file exceptions.
Error Handling
⏳ 1 hour
Using try-except blocks for exception handling.
Creating custom exceptions.
Project Development
⏳ 2 hours
Building 11 projects to reinforce learning.
Applying concepts to solve real-world problems.
Course Review and Next Steps
⏳ 30 minutes
Reviewing key concepts and projects.
Guidance on further learning and resources.
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Job Outlook
High Demand for Python Skills: Python is widely used in various industries, including web development, data science, machine learning, and automation.
Career Opportunities: Proficiency in Python opens doors to roles such as Software Developer, Data Analyst, Machine Learning Engineer, and Automation Specialist.
Freelance and Remote Work: Python’s versatility allows for freelance and remote work opportunities, especially in tech and data-related fields.
Specification: The Python Bible™ | Everything You Need to Program in Python
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