Recitations from Tel-Aviv University introductory course to computer science, assembled as IPython notebooks by Yoav Ram. Exploratory Computing with Python, a set of 15 Notebooks that cover exploratory computing, data analysis, and visualization. No prior programming knowledge required. Each Notebook includes a number of exercises (with answers) that should take less than 4 hours to complete. Developed by Mark Bakker for undergraduate engineering students at the Delft University of Technology.

The world around us is becoming increasingly automated, with many of us leaning on digital assistants such as Cortana, Echo and Siri to run our lives. Before too long it is highly likely that our cars will be driverless, fridges will restock automatically and our homes will heat themselves. Recently, Westworld - the sci-fi thriller about a technologically advanced, Western-themed amusement park populated by androids that malfunction and begin killing the human visitors - became the biggest watched show of all time on Sky Atlantic. Could this fiction be closer to reality than many of us would care to admit? Our recent study asked this question, and for almost two-thirds of respondents, the answer is yes.

SAN FRANCISCO – When Amazon made a bid for Whole Foods earlier this month, a company that's been a huge but largely online presence for consumers suddenly seemed to be everywhere, raising the question, "Is it getting too big?" In most of the areas Amazon has recently entered, be they groceries or streaming video or India, Amazon is far from dominant. But some observers fear that as Amazon's breadth grows, the power of its ecosystem could stifle competition and erode jobs. "Imagine getting your pay-TV service, groceries, banking, insurance, etc. all through one company. That's the threat that Amazon poses," said Michael Greeson, director of research at business analysis firm The Diffusion Group.

John Kelleher is a partner at McKinsey & Co. and the co-chair of Next Canada. Laura McGee is an engagement manager at McKinsey & Co. and co-founder of #GoSponsorHer. There's no doubt that Canada could lead the planet in artificial intelligence (AI). Canadian academics such as Geoffrey Hinton and Yoshua Bengio essentially created the field of deep learning and put Canada on the map; today, Edmonton, Toronto and Montreal are globally important centres of AI research. The best AI talent in the world is also increasingly coming to Canada to launch AI businesses such as integrate.ai

John Kelleher is a partner at McKinsey & Co. and the co-chair of Next Canada. Laura McGee is an engagement manager at McKinsey & Co. and co-founder of #GoSponsorHer. There's no doubt that Canada could lead the planet in artificial intelligence (AI). Canadian academics such as Geoffrey Hinton and Yoshua Bengio essentially created the field of deep learning and put Canada on the map; today, Edmonton, Toronto and Montreal are globally important centres of AI research. The best AI talent in the world is also increasingly coming to Canada to launch AI businesses such as integrate.ai

John Kelleher is a partner at McKinsey & Co. and the co-chair of Next Canada. Laura McGee is an engagement manager at McKinsey & Co. and co-founder of #GoSponsorHer. There's no doubt that Canada could lead the planet in artificial intelligence (AI). Canadian academics such as Geoffrey Hinton and Yoshua Bengio essentially created the field of deep learning and put Canada on the map; today, Edmonton, Toronto and Montreal are globally important centres of AI research. The best AI talent in the world is also increasingly coming to Canada to launch AI businesses such as integrate.ai

Being born without fingers can be tough for any child. Getting new ones - especially red and blue superhero themed digits - has made 8-year-old Kaori Misue a vibrant playground star. Flexing her wrist muscles to bend the plastic fingers, she can work with tape and stickers at an arts and crafts class. She can ride a bike, skip a rope and bake pastries with her mom. Misue has a brand new prosthetic hand thanks to the genius of 21-year-old inventor Gino Tubaro and his 3D printer.

Santiago Ramón y Cajal, a Spanish histologist and anatomist known today as the father of modern neuroscience, was also a committed psychologist who believed psychoanalysis and Freudian dream theory were "collective lies." When Freud published The Interpretation of Dreams in 1900, the science world swooned over his theory of the unconscious. Dreams quickly became synonymous with repressed desire. Puzzling dream images could unlock buried conflicts, the psychoanalyst said, given the correct interpretation. Cajal, who won the 1906 Nobel Prize for discovering neurons and, more remarkably, intuiting the form and function of synapses, set out to prove Freud wrong. To disprove the theory that every dream is the result of a repressed desire, Cajal began keeping a dream journal and collecting the dreams of others, analyzing them with logic and rigor. Translated here into English for the first time, the dreams of Santiago Ramón y Cajal offer insight into the mind of a great scientist. Cajal eventually deemed the project unpublishable.

For the past eight years, Uber's chief executive officer and co-founder Travis Kalanick played the role of disruptive entrepreneur with wild abandon--and to great effect. The company has revolutionized ground transportation in many of the world's cities, often ignoring existing regulations, the concerns of entrenched taxi companies and many of its own drivers, and commonly accepted levels of decency in the workplace. Now Kalanick has been ousted, and his successor will be forced to stick to a much more predictable script. Uber's next CEO will have his or her hands full with important blocking and tackling, such as repairing relations with drivers, filling key executive positions, and leading a wholesale makeover of the company's hard-edged culture. "Travis has forced the board's hand," says long-time technology consultant and author Geoffrey Moore.

This article was written by Harry Chiang, a Financial Analyst at I Know First. "The big paradox here is that people think technology will lead to banking becoming more and more automated and less and less personalized, but what we've seen coming through here is the view that technology will actually help banking become a lot more personalized." Over the past few years, news articles have casually floated the term'Artificial Intelligence' around at an increasing rate. It's one of those buzzwords that somehow finds its way in to every tech-related conversation. Even the least tech-savvy person has a vague notion of what it is. The problem is, some of the more tech-savvy person don't have a much clearer notion of what it is either. The definition of AI ranges and has vague boundaries.