This course is organized into 64 modules and includes everything you need to become successful in this profession. To make this course more accessible for you, we have designed it for both part-time and full-time students. You can study at your own pace or become an expert in just 17 hours!
Module 01 | |||
Introduction | 00:29:00 | ||
Starter Examples | 00:33:00 | ||
Learning C Concepts | 00:13:00 | ||
Module 02 | |||
Data Types and Inference | 00:20:00 | ||
Sizeof and IEEE 754 | 00:33:00 | ||
Constants L and R Values | 00:11:00 | ||
Operators and Precedence | 00:25:00 | ||
Literals | 00:26:00 | ||
Module 03 | |||
Classes and Structs | 00:22:00 | ||
Enums | 00:14:00 | ||
Unions | 00:16:00 | ||
Introduction to Pointers | 00:11:00 | ||
Pointers and Array Indexing | 00:12:00 | ||
Using Const with Pointers | 00:09:00 | ||
Pointers to String Literals | 00:12:00 | ||
References | 00:14:00 | ||
Smart Pointers | 00:22:00 | ||
Arrays | 00:15:00 | ||
Standard Library Strings | 00:13:00 | ||
More Standard Library Strings | 00:18:00 | ||
Functions | 00:06:00 | ||
More Functions | 00:16:00 | ||
Function Pointers | 00:15:00 | ||
Control Statements | 00:18:00 | ||
Module 04 | |||
A Installing Python | 00:17:00 | ||
Documentation | 00:30:00 | ||
Command Line | 00:17:00 | ||
Variables | 00:29:00 | ||
Simple Python Syntax | 00:15:00 | ||
Keywords | 00:18:00 | ||
Import Module | 00:17:00 | ||
Additional Topics | 00:23:00 | ||
Module 05 | |||
If Elif Else | 00:31:00 | ||
Iterable | 00:10:00 | ||
For | 00:11:00 | ||
Loops | 00:20:00 | ||
Execute | 00:05:00 | ||
Exceptions | 00:18:00 | ||
Data Types | 00:24:00 | ||
Module 06 | |||
Number Types | 00:28:00 | ||
More Number Types | 00:13:00 | ||
Strings | 00:20:00 | ||
More Strings | 00:11:00 | ||
Files | 00:08:00 | ||
Lists | 00:15:00 | ||
Dictionaries | 00:04:00 | ||
Tuples | 00:07:00 | ||
Sets | 00:09:00 | ||
Module 07 | |||
Comprehensions | 00:10:00 | ||
Definitions | 00:02:00 | ||
Functions | 00:06:00 | ||
Default Arguments | 00:06:00 | ||
Doc Strings | 00:06:00 | ||
Variadic Functions | 00:07:00 | ||
Factorial | 00:07:00 | ||
Function Objects | 00:07:00 | ||
Module 08 | |||
Lambda | 00:11:00 | ||
Generators | 00:06:00 | ||
Closures | 00:10:00 | ||
Classes | 00:09:00 | ||
Object Initialization | 00:05:00 | ||
Class Static Members | 00:07:00 | ||
Classic Inheritance | 00:10:00 | ||
Data Hiding | 00:07:00 | ||
Mock Exam | |||
Mock Exam – Diploma in C++ and Python Programming | 00:30:00 | ||
Final Exam | |||
Final Exam – Diploma in C++ and Python Programming | 00:30:00 | ||
Order your Certificates & Transcripts | |||
Order Certificates & Transcripts / CPD QS | 00:00:00 |
No Reviews found for this course.
Can’t find the anwser you’re looking for ? Reach out to customer support team.
Yes, you can learn Python and C++ together. Both languages have different strengths and learning them simultaneously can provide a well-rounded understanding of programming concepts. Python is known for its simplicity and readability, making it great for beginners, while C++ offers more control over system resources and is used in performance-critical applications.
The best diploma for coding depends on your career goals and interests. Some highly regarded diplomas include: Diploma in Computer Science Diploma in Software Engineering Diploma in Web Development Diploma in Information Technology
Python itself is not a diploma course but can be included as part of a broader diploma program in computer science, software development, or information technology. Many institutions offer short courses or certifications specifically for Python programming.
Yes, you can learn Python after completing a diploma. Python is widely used and valued in many industries, and learning it can enhance your skill set and job prospects.
Salaries for Python programmers vary based on experience, location, and industry. On average: 1. Entry-level Python developers: $60,000 - $80,000 per year. 2. Mid-level Python developers: $80,000 - $120,000 per year. 3. Senior Python developers: $120,000 - $150,000+ per year.
Yes, you can get a job after learning Python. Python is used in many fields such as web development, data analysis, machine learning, and automation. Entry-level positions like Junior Developer, Data Analyst, and Python Developer are common.
Python is generally considered one of the easier programming languages to learn due to its straightforward syntax and readability. However, the difficulty can vary depending on your background and the complexity of the projects you undertake.
Yes, you can learn Python without a degree. Many online courses, tutorials, and bootcamps are available to help you learn Python. Practical experience and a strong portfolio can often be more important than formal education.
Both Python and C++ have their advantages: Python: Easier to learn, great for rapid development, widely used in web development, data science, and automation. C++: Offers more control over system resources, used in game development, systems programming, and performance-critical applications.
No, Python is generally considered easier to learn and use than C++. Python has a simpler syntax and is more forgiving for beginners, whereas C++ has more complex syntax and concepts like memory management and pointers.
Yes, Python is generally easier to learn and use than C++. Python's straightforward syntax and readability make it more accessible to beginners, whereas C++ requires understanding of more complex programming concepts.
As of now, the most in-demand coding languages include: Python: Widely used in data science, AI, and web development. JavaScript: Essential for web development. Java: Used in many enterprise environments. SQL: Crucial for database management and data analysis.
There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course.
For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime.
We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase.
Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course.