Python development is the most direct work. Now many websites are developed in Python, because Python development can be used to develop server-side applications-for debugging and optimization, the performance of existing systems can accomplish these tasks. In addition to Python, there may be some knowledge of web architecture, front-end HTML, JavaScript and computer network.
The product manager's job is mainly to tap customer demand. Finding product highlights and partner teams is a finished product cycle, mainly focusing on communication, and coding is not a difficult requirement. However, the water is also deep. Now the quality of product managers in the market is uneven. If you know a programming language, it is easier to communicate with the team and complete the project, so many companies are more willing to be candidates with some programming knowledge. Knowing Python is familiar with at least some computer concepts, and Python can also be provided in data analysis.
Product managers usually need to prepare PPT to report all kinds of data, and Python data analysts can also do a lot of work with Python. Nowadays, data analysts basically don't talk about Python, because there are too many internal data analysis in Python, such as Panda, Numpy, Scikit learning, Matplotlib, Tensorflow. Many data scientists are also using Python, so if you are interested in learning data analysis, you can also consider exploring the direction of Python training on the Internet. This is also obvious. Now the demand for Python is so high that many people begin to learn Python and are always taught. Education and training is also a lasting industry. At least some programming foundation is behind Python, then learn some emerging languages, feel the bypass, and do training correctly. Financial consultants are now undergoing digital transformation, and the direction of financial management itself is a pile of data. This is a lot of data. Is a lot of physical labor, pay and responsibility. Now the degree of automation has improved, and the requirements for financial personnel are also very high. If we can do some analysis on the basis of these data, it is also a very popular idea and very popular.