Looking around to see what I could do with my Applied Math background, I quickly settled on Data Science. I wasn’t well

Having been here for 3 years now, I can say that working at Netflix is really special. The company is always evolving, big decisions are made in a transparent way, and I’m encouraged to voice my thoughts. But the single most important factor is the people. My Content Analytics teammates continuously impress me not only with their quality of work, but also with their kindness and mutual trust. This foundation makes innovating more fun, lets us be open about our passions outside of work, and means we genuinely enjoy each other’s company. That balance is crucial for me and is why this truly is the place where I can do my best work.

A powerful and easy-to-use web crawler built in Python. It follow the guidelines from the open-source intelligence framework (OSINT), which allows the collection and analysis of information acquired from open or public sources.

Even though I’d been a loyal Netflix customer since the DVD days, I had not heard about their unique culture until I started interviewing. When I did read the culture doc (which I recently learned is also published in Spanish and 12 other languages!), it sounded pretty intimidating. Phrases like “high performance” and “dream team” made me imagine an almost gladiator-style workplace. But I quickly learned this wasn’t the case. Through a combination of my existing network, the interview process, and other online resources about the company, I found that folks are actually very friendly and helpful! Everyone just wants to do their best work and help you do your best work too. Think more The Great British Baking Show and less Hell’s Kitchen. Selflessness really is embraced as an important Netflix value.

For these reasons, we’re going to explore the top Python repositories available on GitHub — to not only inspire and teach you but to also give you a taste of what you can do with a creative mind and Python.

This repositories on this last are ones I’ve personally come across. These repositories help me with my code — I learn from them, get excited about them, am inspired by them, or have otherwise found them useful. This list will give you an edge with your own code and provide great value-

GitHub is a code-hosting platform for version control and collaboration. It lets you and others work together on projects from anywhere and is a top platform for sharing all kinds of technologies, frameworks, libraries, and collections.

A research project exploring the role of machine learning in the process of creating art and music. Primarily this involves developing new deep-learning and reinforcement-learning algorithms for generating songs, images, drawings, and other materials.

Later on I went to Hulu to grow in the core skills of a data scientist. But while the predictive modeling I was doing was interesting and challenging, I missed being close to the business. As an analyst, I got to attend more meetings with the decision makers and be part of the conversation.

A reference for anyone getting started with Google’s TensorFlow machine learning software framework. Includes a long list of code examples demonstrating everything from basic TensorFlow operations to building neural networks.

Developers all over the world have chosen Python as their main language for many of their projects. Python is an easy-to-use language. It’s versatile and has a large collection of packages — which keeps developers coming.

Growing up I watched a lot of TV. I mean a lot of TV. But I never thought I could actually work in the TV and Film business. I feel incredibly fortunate to be working at a job I am passionate about and to be at a company that brings joy to people around the world.

If this post resonates with you and you’d like to explore opportunities with Netflix, check out our analytics site, search open roles, and learn about our culture. You can also find more stories like this here.

If this post resonates with you and you’d like to explore opportunities with Netflix, check out our analytics site, search open roles, and learn about our culture. You can also find more stories like this here.

A mix of worksheets that walk users through the basics of getting started with machine learning. Includes links to code samples, data sets, and useful videos explaining key math concepts.

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n exactly where on the sales curve you drew the dividing line between the head (sales of the most popular products) and the tail (sales of niche products), and how long the tail actually stretched, the tail was potentially as large as the head, Anderson predicted. Any company that managed to aggregate these niche sales stood to bring in immense revenue. The profit potential was huge, too, as Anderson and many of his readers saw: Although it’s no easy feat to build a well-running, trustworthy marketplace that attracts large numbers of both buyers and sellers, once such a platform is up and running, the costs of adding new users and new products becomes negligible.