Coding

Programming using Python / AIO

0.00JOD

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Description

Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.

Course Videos


Outcomes

Students will learn computational thinking skills,

develop creative and problem solving skills and acquire a strong grasp of how to apply code to real life.

This course sets students up for success, to eventually master the language and to become creative citizens of the digital age.

Meet Your Instructor

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Mona Qasem qasem

AIO
View Profile
  • Sections 16
  • Lessons 15
  • Duration 30
  • Language Arabic
  • Video Subtitle Link
  • Certificate False

Course Syllabus

Chapter 1

Lessons

  • 1 - AIO Orientation Session 2023
Chapter 2

Lessons

  • 1 - Introduction Output and Input function Data types
Chapter 3

Lessons

  • 1 - String Methods , Arithmetic Operations , Logic operations , If Statements
Chapter 4

Lessons

  • 1 - Live Session Link
Chapter 5

Lessons

  • 1 - While and for Loops , Generating Random Values
Chapter 6

Lessons

  • 1 - Collection Data Types (Lists ,Tuples , Sets dictionaries)
Chapter 7

Lessons

  • 1 - Live Session Link
Chapter 8

Lessons

  • 1 - Exercices
Chapter 9

Lessons

  • 1 - Functions (Parameters , Arguments , Return function)
Chapter 10

Lessons

Chapter 11

Lessons

  • 1 - Classes , Modules , Packages , Working with Directories , PyPi and Pip
Chapter 12

Lessons

  • 1 - Exercices , Basic principles of Machine Learning
Chapter 13

Lessons

  • 1 - Live Session Link
Chapter 14

Lessons

  • 1 - Classification , Deep Learning .
Chapter 15

Lessons

  • 1 - Live Session Link
Chapter 16

Lessons

  • 1 - Marathon`s Platform tutorial