Master Python Programming Essentials
What you'll learn
- Essentials of Python Programming
- Variables and Built-in Data Types
- Basic Operators
- String Formatting Methods
- Control Flow Statements
- Built-in Functions
- Define Functions
- Create Classess and Inheritance
- No any programming experience needed. You will learn everything you need to know.
Python is one of the most popular and easiest programming languages, which is an ideal language for scientific computing, data analysis and machine learning due to many prebuilt and third party's libraries. Python can be used for almost every aspect of computer projects, such as
Data Analysis. Modelling and Visualization
Big Data Processing
IoTs Platform Development
Task automation and
Based on TIOBE Index, Python has overpassed Java and C and become the most popular programming language of today since October 2021. Python leads the top Data Science and Machine Learning platforms based on KDnuggets poll. In the top programming languages ranking of IEEE Spectrum in 2021, Python takes the first place. Besides, Python is so popular at the moment because Python developers are in high demand. In many different fields, there is a demand for those with Python skills with high payment.
In these connections, it is very important to master this most popular programming language. Owning Python skills, it will help you change your career with well payment. This course uses daily life examples which help you easily and fast master the essentials of Python Programming. After this course, you will own the basic knowledge to further learn any advanced Python topics, such as web development, data analysis, modelling and machine learning, computer vision, and so on.
Who this course is for:
- Anyone who wants to learn Python programming fundamentals from beginning
Nearly 20 years of research and teaching experience and 10 years of entrepreneur and management experience in computer modelling and simulation, big data analysis, machine learning algorithms; Ph.D. in Environment and Resource Management; Postdoctoral scientist, and Ph.D. supervisor in Environmental System Modelling; Research associate and Visiting scientist in Forest Hydrological Ecosystem Modelling; Industrial Professor, Adjunct Professor teaching AI and machine learning courses and Postgraduate supervisor in Deep reinforcement learning and Computer vision; Senior Research in R&D of real time monitoring and early warning system platform for water protection, human safety and health; Participated in or hodeling 12 international research projects; Participated as an invited key speaker in 12 scientific conferences and workshops; Having 27 software copyrights, 4 patents and over 40 pulications.