English | Size: 1.28 GB
Genre: eLearning
What you’ll learn
Understand the basic as well as core concepts of Python programming language
Read and write external data files using Python
Implement functions and call built-in Python functions
Debug an entire program and handle errors in Python
Implement basic Python structures such as if statements, loops, and functions
Add the Python Object-Oriented Programming (OOP) skills
Learn Python 3 from experienced professional software developers.
This Python course is for beginners – anybody can take this course even without any prior programming experience. Every topic has been explained in detail and aided with visual diagrams in a way that is easy to understand. You can learn the course at your pace and practice the exercises provided at the end of the topics
Each section of the course is linked to the previous one in terms of utilizing what was already learned and each topic is supplied with lots of examples which will help students in their process of learning.
In the tutorials, the programming examples are demonstrated either using the Anaconda Jupyter Notebook or the Python IDLE application.
We recommend you to download the latest version (3.6) of Python from the Anaconda Distribution website covered in this course.
The course has three capstone projects with solutions, after which the student is able to gain practical insight to the course.
By the end of this course students will emerge with a solid understanding of Python language concepts and hands-on experience writing their own codes
If you have any suggestions on topics that have not been covered, you can send them via private message. I will do my best to cover them as soon as possible.
#python #programming #beginners #programmers
Who this course is for:
Beginners with no previous programming experience looking to get their first programming job or just curious about programming in general.
Students who want to learn at minimum the foundation of the Python programming language before they can take courses like big data analytics , machine learning, data science, and artificial intelligence.
If you have some other programming language experience and want to improve your career options then taking this course will help you build your foundation in Python.
If you have been programming in Python for many years then this course is probably not for you.
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