The course “Python 100+ Intermediate Problems with Solution” seems to cover a wide range of topics in Python programming, from basic operations to more advanced concepts using libraries like NumPy and pandas, as well as GUI development. Here’s a brief description based on the problem statements extracted:
Course Title: Python 100+ Intermediate Problems with Solution
Instructor: Faisal Zamir
Description: This comprehensive Python course covers over 100 intermediate-level problems with detailed solutions. Designed for learners who have a basic understanding of Python syntax and concepts, the course dives into various practical scenarios and programming challenges. Each problem statement is followed by a step-by-step solution, ensuring learners grasp both the theoretical and practical aspects of Python programming.
Course Outline:
- Core Python Programming:
- Handling strings, lists, dictionaries
- File operations, including reading from and writing to files
- Mathematical operations and calculations
- Object-Oriented Programming (OOP) concepts and implementation
- NumPy and Pandas:
- Array manipulation and operations using NumPy
- Data analysis and manipulation with pandas
- GUI Development with Python:
- Creating desktop applications using tkinter
- Adding buttons, checkboxes, and handling user inputs
- Advanced Python Concepts:
- Handling exceptions and errors
- Working with JSON, CSV, and Excel files
- Utilizing Python libraries for specific tasks
- Problem-Solving Approach:
- Understanding problem statements clearly
- Developing algorithms and logic to solve problems
- Implementing solutions in Python code
- Course Format:
- Lectures supplemented with hands-on exercises
- Real-world examples and applications
- Comprehensive solutions provided for each problem
- Who Should Take This Course:
- Python enthusiasts looking to advance their skills beyond basic programming
- Students preparing for coding interviews or competitive programming
- Professionals aiming to enhance their Python proficiency
- Benefits:
- Gain confidence in tackling diverse programming challenges
- Improve problem-solving skills and algorithmic thinking
- Practical exposure to various Python libraries and applications
Duration: Approximately 6+ hours of video content