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  • Python programming : Advance Level 9618 P4

Python programming : Advance Level 9618 P4

  • By Navid Saqib
  • Python Programming
  • (0 Rating)
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    • Course Description

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      What You’ll Learn From This Course

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      Certification

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      Show More
      What Will You Learn?
      • This advanced Python course is designed to support A-Level Computer Science Paper 4. You will develop strong problem-solving skills using object-oriented programming concepts such as classes, objects, and inheritance. The course covers advanced algorithms, recursion, file handling, and data structures like stacks, queues, and linked lists. You will also practice writing efficient code, debugging, and applying algorithmic thinking to solve complex problems. By the end, you will be fully prepared to tackle programming questions in Paper 4 with confidence.

      Material Includes

      • Question sets
      • Practice material
      • Bonus pack.

      Requirements

      • It is better to gain hands-on practice using IDLE. Python IDLE is included in your course for practice. It is also recommended to note down important sections in your notebook.

      Audience

      • AS-level students
      • A-level students
      • Non-computing students.

      Course Content

      1. Introduction to Python

      • What is Python?
      • Features and uses of Python
      • Installing Python and IDEs (IDLE, PyCharm)
      • Running a Python program

      2. Basic Programming Concepts

      • Algorithms and flowcharts
      • Understanding programs: input → process → output
      • Python syntax and indentation
      • Writing and running simple programs

      3. Data Types and Variables

      • Data types: integer, float, string, Boolean
      • Variable declaration and assignment
      • Constants
      • Type conversion (casting)

      4. Operators and Expressions

      • Arithmetic operators: +, -, *, /, //, %, **
      • Relational operators: ==, !=, >, =, <=
      • Logical operators: and, or, not
      • Assignment operators: =, +=, -=, *=, /=
      • Operator precedence

      5. Input and Output

      • Using input() to take user input
      • Displaying output using print()
      • Formatting output (f-strings, concatenation)

      6. Control Structures

      • Conditional Statements: if, elif, else
      • Conditional Statements: Nested conditions
      • Conditional Statements: Loops
      • Conditional Statements: for loops (with range)
      • Conditional Statements: while loops
      • Conditional Statements: Nested loops
      • Conditional Statements: Loop control: break, continue, pass

      7. Strings and String Manipulation

      • String indexing and slicing
      • String methods: .upper(), .lower(), .strip(), .replace(), .split(), .join()
      • Concatenation and repetition

      8. Lists and List Operations

      • Creating lists
      • Accessing, modifying, and deleting elements
      • List methods: .append(), .insert(), .remove(), .pop(), .sort(), .reverse()
      • Iterating through lists

      9. Tuples and Sets

      • Tuple creation and accessing elements
      • Immutable nature of tuples
      • Set creation and operations (union, intersection, difference)

      10. Dictionaries

      • Accessing, modifying, and deleting key-value pairs
      • Dictionary methods: .keys(), .values(), .items(), .get()

      11. Functions and Procedure

      • Local and global variables
      • Scope and lifetime of variables
      • Built-in functions vs user-defined functions

      12. File Handling

      • Reading from a file (read(), readline(), readlines())
      • Writing to a file (write(), writelines())
      • File modes: r, w, a, r+

      13. Error Handling

      • Common runtime errors
      • Syntax errors and logical errors
      • Using try, except blocks

      14. Simple Data Structures

      • Using lists in programs
      • Practical applications in O-Level programming questions

      15. Searching and Sorting

      • Linear search
      • Binary search
      • Bubble sort
      • Selection sort

      16. Modular Programming

      • Breaking code into modules
      • Importing modules and using built-in modules (math, random)

      17. Practical Programming Techniques

      • Writing structured Python programs
      • Reading problem statements carefully
      • Testing and debugging programs
      • Writing pseudocode and converting to Python

      18. Sample Programs

      Tags

      • PythonAdvance

      A course by

      Navid Saqib
      Navid Saqib

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      Course Includes:

      • Price:Free
      • Instructor:Navid Saqib
      • Duration: 4 hours
      • Lessons:60
      • Students:0
      • Level:Expert
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      With years of experience in teaching Computer Science, I bring creativity and innovation into the classroom.

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