Short Programming intro in Python and C++

Short Programming intro in Python and C++, available at $59.99, has an average rating of 4.7, with 116 lectures, 4 quizzes, based on 305 reviews, and has 22138 subscribers.

You will learn about Introduction to Python 3: Basic Fundamentals Introduction to C++: Basic Fundamentals Ability to decide which language to focus on This course is ideal for individuals who are Whoever curious about programming It is particularly useful for Whoever curious about programming.

Enroll now: Short Programming intro in Python and C++

Summary

Title: Short Programming intro in Python and C++

Price: $59.99

Average Rating: 4.7

Number of Lectures: 116

Number of Quizzes: 4

Number of Published Lectures: 116

Number of Published Quizzes: 4

Number of Curriculum Items: 120

Number of Published Curriculum Objects: 120

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Introduction to Python 3: Basic Fundamentals
Introduction to C++: Basic Fundamentals
Ability to decide which language to focus on

Who Should Attend

Whoever curious about programming

Target Audiences

Whoever curious about programming

The goal of this course is to provide a starting point to programming in 2 popular programming languages.

Curriculum:

The course consists of 2 independentsub-courses
- Select whatever start.
Covered Basics: data types, variables, operators, selection, and while loops.
- No intention to go far from that. The goal is to see these concepts in 2 languages.

By the end of the journey,you will have

Fair understanding of the very basics of the 2 languages
Ability to decide which language to focus on it more.

Visit my profileand select the course of interest to dive deeper. I have deeper courses in more than a language

Mastering 4 critical skills series from my profile will aim to master the 4 most important skills for a programmer
- Programmingskills
- Problem-solving skills: rarely covered by other courses
- Project building skills: partially covered by other courses
- Design skills: rarely covered by other courses
- 7+ times practice & homework compare to other courses + 6 projects
My other courses avoid the common complaints such as
- Limited topics coverage.
- Outdated syntax.
- Unnecessary long videos with repetitions.
- Too much time to explain basic concepts.
- A sudden jump in the level. I can’t cope with the content.
- Assumptions of previous knowledge to understand some of the concepts.
- Building over concepts that were not mastered through practice or homework.
- The same examples are used over and over.
- Several consecutive lectures without practice or homework to master the concepts.
- Awesome knowledge, almost zero skills.
- Very little practice or homework.
- Good homework in the first half and very weak in the remaining.
- Many homework without solutions.
- Only one project.
- Small-size project.
- Long but tedious project.
- The project doesn’t help enforce the concepts.
- Project source code is not provided. I needed to compare and learn.
- Moving to Datastructures or Algorithms course was not easy. Weak problem-solving skills.
- After the course, I am still stuck and can’t do even simple projects. Weak project-building skills.
- The course taught OOP syntax and concepts nicely, but OOD skills are not built. Weak design-skills.
- And more!

Enjoy learning programming in a smooth way 🙂

Course Curriculum

Chapter 1: Python Getting Started

Lecture 1: Why Programming? Python?

Lecture 2: Let's Code in Python

Lecture 3: Resources and Students Community

Lecture 4: Important Note

Chapter 2: Python Installation

Lecture 1: Overview

Lecture 2: Installing Python on Linux

Lecture 3: Installing Python on Windows and Mac

Lecture 4: Installing PyCharm Windows and Mac

Lecture 5: Installing PyCharm on Linux

Lecture 6: Creating Projects using PyCharm

Chapter 3: Python Printing

Lecture 1: Printing

Lecture 2: Syntax Errors

Lecture 3: Indentation Error

Lecture 4: Printing Homework

Lecture 5: Printing Homework – Solution p1

Lecture 6: Printing Homework – Solution p2

Lecture 7: Printing Homework – Solution p3

Lecture 8: Printing Homework – Solution p4 p5

Chapter 4: Python Data Types and Variables

Lecture 1: Data types and variables

Lecture 2: Variables Assignments

Lecture 3: Identifier

Lecture 4: Dynamic Typing

Lecture 5: String Manipulation

Lecture 6: Function

Lecture 7: Reading

Lecture 8: Variables Homework 1

Lecture 9: Variables Homework 1 – Solution p1 p2

Lecture 10: Variables Homework 1 – Solution p3 p4

Lecture 11: Name Binding

Chapter 5: Python Operators

Lecture 1: Arithmetic Operators

Lecture 2: Assignment Operator

Lecture 3: Operators Precedence

Lecture 4: Operators Associativity

Lecture 5: Relational Operators

Lecture 6: Truth Table

Lecture 7: Logical Operators

Lecture 8: Membership Operators

Lecture 9: Modulus Operator

Lecture 10: Division and Modulus Homework 1 – 3 Easy Challenges

Lecture 11: Division and Modulus Homework 1 – Solutions

Chapter 6: Python Selection

Lecture 1: Selection 1

Lecture 2: Demo and Indentation

Lecture 3: Selection 2

Lecture 4: Selection Practice 1

Lecture 5: Selection Practice 2

Lecture 6: Selection Homework 1 – 4 Easy Challenges

Lecture 7: Selection Homework 1 – p1 p2

Lecture 8: Selection Homework 1 – p3 p4

Chapter 7: Python Loops

Lecture 1: While Loops 1

Lecture 2: While Loops 2

Lecture 3: While Loops Practice 1

Lecture 4: While Loops Practice 2

Lecture 5: While Nested loops

Lecture 6: While Loops Homework 1 – 4 Easy Challenges

Lecture 7: While Loops Homework 1 – Solution

Lecture 8: While Loops Homework 2 – Application

Lecture 9: While Loops Homework 2 – Application Solution

Lecture 10: For Loops 1

Lecture 11: For Loops 2

Lecture 12: For Loops Practice – Medium to Hard

Chapter 8: Python Debugging

Lecture 1: Debugger

Lecture 2: Debugging with PyCharm IDE

Chapter 9: Python Functions

Lecture 1: Define Function

Lecture 2: Return and Default

Lecture 3: Function Calling Function + Debugging

Lecture 4: Enumerate and Override

Lecture 5: Local and Global Scope

Lecture 6: Name Binding

Lecture 7: Positional or Keyword Parameter

Lecture 8: Docstring

Chapter 10: C++ Getting Started

Lecture 1: Why C++?

Lecture 2: Let’s code

Chapter 11: C++ Installations

Lecture 1: Overall tools

Lecture 2: Installing Codeblocks on Linux

Lecture 3: Installing Codeblocks on Windows

Lecture 4: Installing Eclipse on linux

Lecture 5: Installing Eclipse on Windows

Lecture 6: Project creation on Eclipse

Lecture 7: Project creation on Codeblocks

Lecture 8: Configuring the Compiler

Chapter 12: C++ Data Types and Variables

Lecture 1: Data types and variables

Lecture 2: Declaring variables

Lecture 3: Reading Variables

Lecture 4: Variables Homework

Instructors

Dr. Moustafa Saad Ibrahim
Educator, Software Engineer, Scientist, Competitive Coach
CSkilled Academy
High Quality With Intensive Practice CS Courses

Rating Distribution

1 stars: 2 votes
2 stars: 4 votes
3 stars: 23 votes
4 stars: 59 votes
5 stars: 217 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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