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Computer Science with Python – Intermediate Level

Building upon our Python for beginners course, this course extends the concepts to more intermediate levels so that students can better use Python in computer science or software development, with deeper insight into the workings of the code.

Difficulty

Learning outcomes

By the end of this course, students will:

  • Advanced programming skills with Python
  • In-depth understanding of Python code structures, such as for loops, objects, and recursive functions.
  • Knowledge on designing algorithms to solve computation tasks.
  • Ability to extend Python by using various libraries
  • Skills to optimize code for speed and clarity

Upcoming Courses/Workshops

Group name Start date Session duration Number of sessions Standard price
Register for a FREE Trial Class Register for a 1-on-1 class Course for companies

FEATURED MENTOR

Sara Metwalli

Sara Metwalli

Computer Science, Game Development Tutor
  • Experienced in Android mobile application development
  • Teaching Assistant in Science for undergraduate level
  • Worked with Tokyo Institute of Technology Online Education Development Office (OEDO) on designing and analyzing content for edX
  • PhD in the field of Information and Communications Engineering at Tokyo Institute of Technology
Lesson 1

Sorting & searching

  1. Binary Search algorithm implementation
  2. Quick Sort
  3. Binary search and Quick Sort by case studies
Lesson 2

Object Oriented Programming (OOP)

  1. What is a Class
  2. Introduction to OOP concepts: Encapsulation, Inheritance, Abstraction and Polymorphism
  3. Polymorphism
  4. OOP by case studies
Lesson 3

Design patterns with python

  1. Singleton
  2. Adapter
  3. Composite
Lesson 4

SOLID principles

  1. What are the Robert C. Martin’s best principles
  2. Single responsibility principle
  3. Open/closed principle
  4. Liskov substitution principle
  5. Interface segregation principle
  6. Dependency inversion principle
Lesson 5

Red-Black Binary Tree and Object Oriented Programming

  1. Binary Tree vs Red-Black Binary Tree
  2. Object Oriented Programming by case study
Lesson 6

Mini project

  1. Build a skeleton of online shop using OOP programming
Lesson 7

Dynamic programming part 1

  1. Dynamic programming by case study
  2. Coding review exercises
Lesson 8

Dynamic programming part 2

  1. Memoization
  2. The Coin Change Problem
  3. Fibonacci Modified
Lesson 9

Introduction to web programming

  1. ARP
  2. TCP/IP
  3. HTTP
  4. JavaScript Object Notation
  5. Building RESTful APIs
Lesson 10

Mini project

Build an online shop using OOP and web programming

Recommended after this course

Computer Science with Python – Advanced Level

Experience advanced programming skills with Python. Gain deep understanding of many layers of enterprise application and knowledge on designing algorithms.

Difficulty
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