Python for Undergraduates with Lab Sessions
Python programming explained with Lab sessions
Lectures -28
Resources -1
Duration -4 hours
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Course Description
This course is specifically for under graduates who are pursuing Python programming language. The lab session problem definitions are from one of the Universities prescribed syllabus. There are several downloadable resources for further exploration and study. We start with very basics like Anaconda, VS Code IDE, IDLE, Python Shell then move on to advanced topics for under graduates. However, this course is targeted for university UG students. All the lab assignments are from one of the Universities in India. Solved assignments are given in the respective lectures just in case students want to refer them, modify them or enhance them for further studies. Every attempt is made to teach python at basic level however it is not very basic that is to prevent remaining students from losing interest in the lecture Videos. Instructor tries to inculcate best practice among students at early stage so that they are Industry ready. Standard documentation is referred at every stage so that students know where to look for help and resources. This early adaptation helps the students at later stages. Instructor recommends students not to rush through the Videos and practice at the end of each session to get hands on.
Last but not least, instructor wishes good luck to students and enjoyable learning.
Goals
What will you learn in this course:
- Students will learn the basics of Python Language
- Learn how to implement hands on lab session assignments
- Students will learn how to make use of online resources already available online
- Become comfortable with Python coding
Prerequisites
What are the prerequisites for this course?
- No specific requirements. Good to have any programming language prior knowledge
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
11 Lectures
- Introduction 01:25 01:25
- Anaconda VS Code Installation 08:58 08:58
- Documentation Source Used For Teaching 03:19 03:19
- Python Interpreter and Informal Introduction 23:00 23:00
- Control Flows 32:21 32:21
- Data Structures 24:00 24:00
- Modules 09:58 09:58
- Input and Output 10:30 10:30
- Errors and Exception 11:50 11:50
- Classes 17:03 17:03
- Python Standard Libraries 04:35 04:35
LAB Session
16 Lectures
Resources For LAB Session
1 Lectures
Instructor Details
Abhinandan H Patil
With my experience, I have solid knowledge of application development and data management. I also know how to adapt to the constraints that can be encountered according to regulatory obligations. Passionate about technology, I have done a lot of development work, I was able to discover the different aspects related to the development sector and the management of enterprise computing
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