Beginner Python
(Re-filmed with VSCODE development tools, September 2021)
Python, which has recently gained popularity with the advent of big data technology, is being used in a variety of fields. This course covers the fundamentals of Python and is structured for easy understanding. It's designed to help you learn the basics and move on to the next level, making it easy for anyone to learn. Because Python is used in so many different fields, it's essential, not optional. This course will help you learn the basics of Python with ease.
Learning Objectives
- You will learn the basics of Python, including basic grammar and data management.
- Web application development
- Big Data with Python
- 3D engine development
Teaching experience
We have been developing and providing lectures for 18 years to current and unemployed people from famous domestic companies such as Samsung Multicampus, Busan IT Industry Promotion Agency, Jeonju Information and Culture Industry Promotion Agency, Incheon IT Industry Promotion Agency, Korea Radio Promotion Agency, SK C&C, T Academy, Korea Robot Industry Promotion Agency, Daejeon ETRI, Samsung Electronics, NICA Training Center, Korea Productivity Center, and Hanwha S&C.
Lecture content
- Start Google Angular.js (Angular) Course
- Bootstrap 4 & 3 Framework Tutorial
- JavaScript Tutorials for Beginners
- jQuery Programming for Beginners
- CSS & CSS3 for Beginners
- HTML & HTML5 Tutorials for Beginners
- node.js server Tutorials (Node.js server programming course)
- Kotlin for Android: Beginner one step
- Kotlin for Android: Deepening Course, Level 2
- Kotlin for Android: Advanced 3-Step Course (Kotlin for Android: 3-Step Final Course)
- Oracle SQL Database 11g PL/SQL Developer (Oracle Database 11G)
- MySQL Database for Beginners
- C Programming for Beginners
- Kotlin, Google's official development language for beginners
- Python for beginners
Lecture area
I lecture on Java, Android, Framework, Databases, UML, iPhone, Big Data Processing and Analysis, Python, the Internet of Things, Data Analysis with R/Python, Deep Learning, Machine Learning, AI, and Spark. Drawing on my diverse experience, I teach with examples and explanations that make it as easy as possible to apply to practical applications. Since this is not an offline course, please use the Q&A for any questions you may have. I'll be sure to answer any questions you may have.