Conceptually, the difference between the embedded and Python is quite obvious, is a developer of embedded field, while Python is a programming language.
Embedded development is an important branch in the field of development, is an important part of the field of networking technology was, we can say there are things where you can not do without embedded development. Under normal circumstances, the development of a wide range of embedded applications in industries such as automotive field, CNC machine tools, equipment and other intelligence have a wide range of applications, with the development of the Internet industry, embedded development prospects for the future development is still very good .
Python is a programming language that is widely used in Web development, development of big data, big data analysis, artificial intelligence (machine learning, computer vision, natural language processing), which are widely used. Python has also been included to the current embedded development language, so Python can do embedded development.
For starters, it is recommended to start learning Python language, on the one hand because of the Python language itself is relatively simple, even without any programming foundation can be relatively smooth entry, on the other hand due to the application surface of the Python language more widely, especially in the under the current big data era background, Python development in the field of big data, big data analysis are widely used in the Python language to master big data era or a certain necessary.
Before learning Python is best to set a direction, such as Web development, direction and other large data, for beginners, it is recommended to start from the Web development direction, it allows for a smooth entry, but also to establish some in the process of learning self-confidence. In the process of learning Web development, the system is also able to compare the learning content databases.
Finally, whether it is learning or Python programming embedded development, we must do more experiments.
About the author: University computer science graduate student Academy of Sciences, in the IT industry for many years, research interests include dynamic software architecture, big data and artificial intelligence related fields, has many years of front-line development experience.