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300+ Python Exercises (Simple, Intermediate & Complex)

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300+ Python Exercises (Simple, Intermediate & Complex)

 

 

Master Python Programming with 300+ Exercises: From Basics to Advanced Skills

Supercharge Your Python Skills with Comprehensive Exercises

Unlock your full Python programming potential with this dynamic course featuring 300+ Python exercises. Whether you’re a beginner or an experienced coder, this program covers simple, intermediate, and complex tasks, providing algorithms, support, and solutions to elevate your skills. From artificial intelligence and data science to web development and data analytics, this course ensures you gain proficiency in Python and clear 100% of your weak concepts.

What You Will Achieve:

  1. Skill Enhancement:
    • Elevate your Python programming skills, mastering tasks ranging from simple to complex.
  2. Algorithmic Understanding:
    • Solve problems with proper algorithms and support, strengthening your grasp on Python.
  3. Versatile Learning:
    • Explore Python applications in artificial intelligence, data science, web development, and data analytics.
  4. Concept Clarity:
    • Clear 100% of your weak Python concepts through hands-on problem-solving.
  5. Comprehensive Solutions:
    • Receive solutions, algorithms, PPT notes, special support, and assignments for every problem.
  6. Complex Problem Solving:
    • Develop the ability to solve intricate programming problems efficiently using Python.
  7. Data Structure Proficiency:
    • Understand Python data structures such as lists, tuples, dictionaries, and sets.
  8. Syntax Mastery:
    • Attain proficiency in Python syntax and control structures.
  9. Optimized Code Writing:
    • Write efficient and optimized code in Python.
  10. Object-Oriented Concepts:
    • Gain an understanding of object-oriented programming concepts in Python.
  11. Application Development:
    • Acquire the ability to develop Python-based applications, including web and desktop applications.
  12. Library and Framework Exploration:
    • Understand various Python libraries and frameworks.
  13. Data Structure Design:
    • Learn to design and implement Python-based data structures.
  14. Best Practices Adherence:
    • Familiarity with Python best practices and coding standards.
  15. Data Analysis Libraries Usage:
    • Work efficiently with Python libraries for data analysis like NumPy and Pandas.
  16. Security Techniques:
    • Understand Python security practices and techniques.
  17. Clean Code Writing:
    • Write clean, efficient, and maintainable Python code.

Course Requirements:

  • No prerequisites are required for this course, making it accessible to learners of all levels.
  • No need to purchase any paid software for the course.
  • Advanced knowledge of IDE or Python programming is not necessary; you’ll learn it during the course.

Course Overview:

Welcome to “300+ Python Exercises (Simple, Intermediate & Complex) with Complete Source Code.” This course is your gateway to becoming a proficient Python developer. With over seven years of teaching experience, your instructor, Faisal Zamir, holds a master’s degree in computer science and is dedicated to providing quality education.

Python Programming Practice for Python Learners: Python programming practice is essential for proficiency in this popular language. This course offers hands-on practice to improve problem-solving skills, understand syntax, and prepare for diverse fields like data science, machine learning, and web development.

Course Highlights:

  • Extensive Exercise Coverage:
    • Simple (100+ exercises)
    • Intermediate (100+ exercises)
    • Complex (100+ exercises)
  • Complete Learning Package:
    • Each exercise comes with source code, algorithm, PPT notes, and assignments.

Course Topics:

  1. Python Data Structures:
    • Lists, tuples, dictionaries, sets.
  2. Control Structures:
    • If/else statements, loops, functions.
  3. Object-Oriented Programming:
    • Classes, inheritance, polymorphism.
  4. File Handling and Input/Output:
    • Operations in Python.
  5. Exception Handling:
    • Techniques in Python.
  6. Regular Expressions:
    • Application in Python.
  7. GUI Programming:
    • Using Tkinter.
  8. APIs and JSON Data:
    • Handling in Python.
  9. Libraries and Modules:
    • NumPy, Pandas, and other essential libraries.

Advantages of Enrolling:

  • Video lectures for comprehensive learning.
  • Assignments for practical application.
  • Detailed problem-solving with algorithms.
  • PPT notes and additional materials for reference.
  • Access to all source code written during the course.

30-Day Money-Back Guarantee:

Enroll with confidence as the “300+ Python Exercises (Simple, Intermediate & Complex)” course offers a 30-day money-back guarantee. If you’re not satisfied within the first 30 days, request a refund and receive your money back.

Thank you for choosing to advance your Python coding skills with us!

Instructor: Faisal Zamir

 



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