Python programming for C++ developers

Python programming for C++ developers, available at $54.99, has an average rating of 3.8, with 59 lectures, 8 quizzes, based on 33 reviews, and has 77 subscribers.

You will learn about A quick introduction to python syntax for C++ coders. Variables, lists, functions, loops, conditions, I/O, files, recursion, exceptions, GUI programming & more. Problem solving using Python programming A quick skill conversion for C++ programmers Learn how simple it is to handle lists, data and files in Python as compared to C++ Learn super simple GUI development using Tkinter in Python This course is ideal for individuals who are Programmers, those who know C++. This is not a beginners course if you dont know programming already, may be this one is not for you. or C++ experts looking to quickly grasp Python It is particularly useful for Programmers, those who know C++. This is not a beginners course if you dont know programming already, may be this one is not for you. or C++ experts looking to quickly grasp Python.

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Summary

Title: Python programming for C++ developers

Price: $54.99

Average Rating: 3.8

Number of Lectures: 59

Number of Quizzes: 8

Number of Published Lectures: 59

Number of Published Quizzes: 8

Number of Curriculum Items: 67

Number of Published Curriculum Objects: 67

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

A quick introduction to python syntax for C++ coders. Variables, lists, functions, loops, conditions, I/O, files, recursion, exceptions, GUI programming & more.

Problem solving using Python programming A quick skill conversion for C++ programmers

Learn how simple it is to handle lists, data and files in Python as compared to C++

Learn super simple GUI development using Tkinter in Python

Who Should Attend

Programmers, those who know C++. This is not a beginners course if you dont know programming already, may be this one is not for you.

C++ experts looking to quickly grasp Python

Target Audiences

Programmers, those who know C++. This is not a beginners course if you dont know programming already, may be this one is not for you.

C++ experts looking to quickly grasp Python

The course is designed for C++ developers to quickly grasp Python syntax. We will learn Python syntax and a comparative study is done in each lecture comparing C++ and python syntax.

The course gives you a boost in learning python without going through clumsy documentation or lengthy books. The pace of the course is quick, so that you don’t get bored with extra ordinary details but it is balanced with the depth of information that you are not left out on any topics.

You’ll get to learn the syntax of Python language in comparison to C++ and you’ll see how it is different and similar at the same time to work with data, variables, data types, files and lists. You’ll dive into the world of Python and it’s strong capability of type casting and data handling without worrying too much about the data types and memory allocations.

The course is meant for beginners who have probably never learned Python programming language but have a hint of C++ as their first or previously known language. People with no prior programming language can also take this course.

After completing this course, you can step forward to a more advanced course in python like Artificial Intelligence or Machine Learning.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction to course and instructor

Lecture 2: A quick walk through the course

Lecture 3: Software Setup for Python

Lecture 4: Hello World, your first program

Chapter 2: Getting Started

Lecture 1: Ready! Set! Go!

Lecture 2: Python Shell, Literals and getting started

Lecture 3: Objects, Scalars, Data Types and some Operators

Lecture 4: Working with variables

Lecture 5: Please rate the course

Chapter 3: Working with data and numbers

Lecture 1: Arithmetic operators and precedence – Part 1

Lecture 2: Arithmetic operators and precedence – Part 2

Lecture 3: Comparison operators, Less than, Greater Than, Equal to etc

Lecture 4: Binary number and logical operators

Lecture 5: Exercise – Command line practice of numbers, operators and strings.

Chapter 4: Programs and Problem Solving

Lecture 1: Please rate the course if you havent already

Lecture 2: Introduction to Programs and Problem Solving

Lecture 3: Introduction to Multi-line programs – the .py files

Lecture 4: Variables and naming rules

Lecture 5: Comments in Python

Lecture 6: Assignment operator and self-assignment

Lecture 7: Taking user input

Lecture 8: Type Casting – converting data types

Chapter 5: Conditions in Python

Lecture 1: Introduction to control statements and if condition

Lecture 2: Control Statement – if condition

Lecture 3: A few examples of if condition

Lecture 4: if – else , using else with conditions

Lecture 5: Homework Exercise 2

Chapter 6: Loops in Python – Control Statements continue

Lecture 1: Introduction to loops

Lecture 2: Working with While loops

Lecture 3: For loops

Lecture 4: Coding Exercises and Homework

Chapter 7: Functions in Python

Lecture 1: Introducing functions in python

Lecture 2: Creating and using functions in Python

Lecture 3: A few examples of functions

Lecture 4: Creating libraries – Using multiple .py files

Lecture 5: A multiple python files example

Lecture 6: Exercises/Homework for functions

Chapter 8: Lists in Python

Lecture 1: Introducing Lists

Lecture 2: Creating and Using Lists

Lecture 3: Accessing, Updating and Inserting list items

Lecture 4: More about Lists, Sorting, Merging, Sublists etc

Lecture 5: Lists of Lists – that is 2 dimensional lists

Lecture 6: Homework/Exercises for Lists in Python

Chapter 9: More Data Structures – Tuples, Dictionaries and Sets

Lecture 1: Section Introduction

Lecture 2: Tuples, Dictionaries and Sets

Chapter 10: Handling Files with Python

Lecture 1: Filing introduction

Lecture 2: Opening, Reading and Writing to files

Lecture 3: A few file handling examples

Lecture 4: Reading and Editing CSV files (Example)

Lecture 5: Homework/Exercises for File reading/writing

Chapter 11: Exception Handling and Recursion

Lecture 1: Section Introduction

Lecture 2: Exception Handling

Lecture 3: Recursion in Python

Lecture 4: Exercises/Homework – Recursion

Chapter 12: Graphical User Interface – Yes making windows based programs

Lecture 1: GUI Introduction

Lecture 2: Creating GUI in Python

Lecture 3: Make a GUI Game – Tic Tac Toe

Chapter 13: Classes and Objects

Lecture 1: Object Oriented Programming – Creating classes and objects

Chapter 14: Conclusion

Lecture 1: Conclusion

Instructors

Basit Ali
A technology trainer, entrepreneur and a tech enthusiast.

Rating Distribution

1 stars: 1 votes

2 stars: 4 votes

3 stars: 3 votes

4 stars: 11 votes

5 stars: 14 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!