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Coding for All: A comprehensive programming course for beginners and advanced students, covering key concepts like science, technology, engineering, computing, and more. Gives a strong foundation for future computer science learning.

License: GNU General Public License v3.0

Python 100.00%
course programming python coding-interview computer-science-education course-projects

coding-for-beginners-and-beyond's Introduction

❀ Coding for Beginners and Beyond ❀

"Coding for Beginners and Beyond" is an all-inclusive programming course designed to cater to the needs of both novice and seasoned programmers. It is a comprehensive curriculum that introduce you to the key concepts in computer science and programming, including science, technology, engineering, computing, and more that many have struggled in comprehending these terms including me. The course focuses on imparting the fundamental principles of programming and does not limit itself to teaching any specific programming language. This allows the students to apply the learned concepts to any programming language they choose to work with in the future.

The goal of this course is to provide students with a comprehensive understanding of the field of computer science specially programming and the role of technology in our lives. It equips students with the necessary knowledge and skills to further their learning and development in this field. By exploring the various concepts covered in this course, students will gain a solid foundation in programming and computer science, which will enable them to pursue a career in technology or to continue their studies in this field.

✿ Outilnes ✿

Exploiting the Capability of Computer Science in Afghanistan and global:

  • This module explores the potential and capability of computer science in the global and Afghan context.
  • The module examines the latest advancements and developments in computer science that affected our society.
  • By studying the advancements, students will gain an understanding of the important role computer science plays in shaping the world and future.

Exploring the Intersection of Technology and Computer Science and the Definition of Related Terms:

  • Key concepts and terms of computer science will be explored in this module.
  • Topics covered include technology, science, engineering, computing, and more.
  • Understanding these terms is essential for understanding the principles of computer science and the role of technology in our lives.
  • This module is suitable for both beginners and experienced professionals.
  • Provides a comprehensive understanding of the fundamental terms in computer science.

A Computer Odyssey ( From Past to Present ):

  • This module explores the history of computing.
  • The module covers the major milestones and innovations in the field of computing.
  • The module covers the history of computing from its early beginnings to the present day.
  • This module explores a comprehensive understanding of computer parts.
  • The module includes a comprehensive guide to programming languages and their evaluation throughout history.

Understanding our brain to learn better:

  • On our fourth module we will be Understanding our Brain to Learn Better
  • This module explores latest research and findings on brain structure and function
  • Focuses on how this knowledge can be used to improve learning and memory skills
  • Suitable for students looking to optimize study habits or professionals looking to enhance training and development
  • Module provides valuable insights and practical strategies for learning more effectively.

Introduction to Python:

  • Overview of the programming language, it's history, evaluation, and usage.
  • Setting up the development environment and installing required tools.
  • Writing the first program in Python and understanding the basic syntax.
  • Advises and tips before starting with Programming.

Primitive Types and Variables:

  • Overview of different data types in Python (e.g. integers, floats, strings, lists, etc.)
  • Working with variables and assigning values to them.
  • Type casting and type coercion.

Operators and Expressions:

  • Overview of different types of operators (e.g. arithmetic, comparison, logical, etc.)
  • Writing expressions and evaluating them.
  • Operator precedence and associativity.

Control Flow:

  • Conditional statements (if, elif, else).
  • Loops (for, while).
  • Using control flow statements to make decisions and control the flow of a program.
  • Building a Number Gussing Game game to put our new found programming skills into test.

Functions:

  • Overview of functions and their usage.
  • Defining and calling functions.
  • Function arguments and return values.
  • Scope and lifetime of variables.
  • Programming Weather Conversion from from Celsius to Fahrenheit.

Data Structures:

  • Overview of the term data structure.
  • Explaining deferent data structure in python (lists, tuples, sets, dictionaries)
  • Exploring list comprehensions.
  • Developing a Tic Toc Toi game as a practical exercise to apply the concepts we have learned this far.

Modules and Packages:

  • Overview of modules and packages in Python.
  • Importing and using existing modules.
  • Creating and distributing your own modules and packages.

File Input/Output:

  • Reading and writing files in Python.
  • Understanding the different modes of file operations (e.g. read, write, append, etc.)
  • Working with and explaining CSV, JSON and XML file formats.
  • Creating Visuals from data for practicing learned skills.

Exception Handling:

  • Overview of exceptions and errors in Python.
  • Handling exceptions using try-except blocks.
  • Raising exceptions in your code.
  • Creating a Scientific calculator to practice.

Object-Oriented Programming:

  • Overview of OOP concepts (classes, objects, inheritance, polymorphism, etc.)
  • Defining and using classes and objects in Python.
  • Overriding methods and using inheritance.
  • Developing Tic Toc Toi game with PyGame.

Advanced Topics:

  • Introduction lambda, map and filter functions .
  • Overview of advanced topics in Python such as decorators, generators, regular expressions, recursion, etc.
  • Overviewing parallelism and multithreading.
  • Using these concepts to write more efficient and elegant code.

Introduction to Git and Github:

  • Overview of Git & Github.
  • Creating profiles.
  • Introduction to basic Git & Github ( project creating and integration ).

Milestone Projects:

  • Overview of some well-known application created using python.
  • Overview of what kind of project can be created with python.
  • Some real-time projects on diverse areas such as:
    • Making Website with Python.
    • Creating GUI based Desktop application.
    • Building a Data Science Related Project and Visualisation.
    • Etc…

Conclusion and Next Steps:

  • Recap of the course and its objectives.
  • Discussion of future prospects and next steps for students.
  • Suggesting additional resources and exercises for further learnin

✿✿✿✿✿

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