Keen Learner and Exp... • 2d
Day 12 of learning data science as a beginner. Topic: data selection and filtering As pandas is created for the purpose of data analysis it offers some significant functions for selecting and filtering some of which are. .loc: this finds the row by label name which can be whatever (example: abc, roman numbers, normal numbers(natural + whole) etc.). .iloc: this finds the row by index i.e. it doesn't care about the label name it will search only by index positions i.e. 0, 1, 2... These .loc and .iloc functions can be used for various purposes like selecting a particular cell or for slicing also there are several other useful functions like .at and .iat which are used specifically for locating and selecting an element. we can also use various conditions for analyzing our data for example. df[df["IMDb"]>7]["Film"] which means give the name of films whose IMDb ratings is greater than 7. we can also use similar or more advanced conditioning based on our need and data to be analyzed.



Full Stack Web Devel... • 1m
Edge computing moves compute and storage closer to users—CDN PoPs, gateways or devices—reducing latency, bandwidth and improving resiliency. Gartner predicts ~75% of enterprise data will be created/processed outside traditional datacenters by 2025. T
See MoreHey I am on Medial • 2m
Hey! 🎬 Built Moodia (Media for your mood) (moodia.netlify.app) last weekend—Free movie, series, anime recommendations in 3 steps! Cinephile mode finds Reddit’s hidden gems, 95-100% on-point with Rotten Tomatoes/IMDb data. Quick synopsis to pick fast
See More

I'm a pro medialist • 1y
Today I was sitting in my office and thinking what if we can connect the financial data of small start-ups and companies, all automated for cleaning and prediction, connected in and out providing amazing sales insight and other data related solutions
See MoreBuilding WelBe| Entr... • 9m
Case Study: IMDb – From Fan Project to Global Entertainment Giant IMDb (Internet Movie Database) is the world’s largest online database for movies, TV shows, actors, and entertainment content. It began as a fan project in 1990 and has grown into a g
See More
Download the medial app to read full posts, comements and news.