Python is hot!!! Youtube, Dropbox, Quora, Eventbrite and many other famous Internet companies are built on python. Data Scientists and Analysts love to use python for data analysis and machine learning, data engineers like to use python for scripting and DevOps, big data expersts use python to handle data at scale and build data pipelines, and developers use python to build web applications.
Python has been hailed as one of the staples for programming in data science field. It is among the top ten in-demand technologies around the world, and it is listed as one of the top ten highest-paying tech skills with salary over $100,000. It is powerful enough for experienced programmers to build real-world products, but also simple enough for beginners to pick up and jump start on meaningful projects in a short period of time.
Rex Liu has years of working experience as data engineer/ data scientist at BlackBerry and The Globe and Mail. He is experienced with big data analytics through working with a substantial amount of unstructured, heterogeneous data in research-driven and business-driven projects. He builds machine learning and statistical analysis models that become crucial parts of business decision making.
Rex has earned a Master of Science degree in Computer Science, focusing on machine learning and natural language processing (NLP) from University of Ottawa. During his study he had published research papers in international academic conferences, covering fields such as language modeling, deep learning, and social media data mining.
- Setting up the Python environment
- Setting up the Python data analytics stack