What is a Python development, UGI, Data science and Machine learning? Do they all include Python or are they different? Which is better to learn for making a career?

Machine learning and Data Sciences are the two best bets for having a sprawling career. Machine learning includes making a machine learn a set of actions by feeding it a lot of data sets. Data science is required for analyzing a huge volume of data and finding out a pattern in them. To learn both of them or any single one, its best to Learn Python first and then dive headfirst into them. 

As per the recent study, Python is the most trending and demanding tool across various industries and functions irrespective of the city/country you are in. I recommend you learn Python fundamentals with data structures and advance course with machine learning. After which you will certainly get a suitable job asap with nice package.

Python Developer role uses Python in Web Development, mostly using Python along with Django. Python is also used along with Data Science where you need to know about handling the structured and unstructured data, data analysis, data mining etc. Python is also used with Machine Learning, which has a high demand nowadays. If you possess good knowledge in handling data, then you can choose Python with Data Science for your career. Thanks.

Python is the programming language, which is free and a huge library/modules available for different use cases.
Data Science and Machine learning are concepts, and Python has a suitable library to support different ideas for data science and machine learning.
Python can be the right choice for a career in Development or DevOps.

First thing, Python is a programming language which has various aspects when it comes to implementing it on a production level. By using Python, one can do web application using frameworks like Django, do GUI based apps with libraries like Pyqt, do machine learning stuffs with libraries like sci-kit learn, do web crawling with structures like scrappy and beautifulsoup. But to step into one category among the things one needs to know Python first. Later on, all they need to do is to understand the ecosystem of the particular domain they choose.