Notespoint.com Website Review

We already know how to do regular group-by and use aggregation functions. You may refer this post for basic group by operations. In this note, lets see how to implement complex aggregations. To start with, let's load a sample data set df = This time, I've made an arduino controlled robotic arm. It can be trained to do a sequence of activity, and the arm will repeat the same like this : Amazon link 4 servos (SG90 Micro servo) Battery & 5v voltage regulator or a 5V power supply IR remote IR sensor HC-SR04 ultrasonic distance sensor Jumper wires While training the robotic arm, we will be controlling each section of the arm by adjusting This is a simulation of the effect of gravity and motion using an inclined platform. When a ball is dropped on an inclined plane, it rolls down due to its initial velocity and gravitational force. If needed, the friction of the platform can also be configured.The ball can also bounce back when it falls on the platform depending on its weight and velocity.  Ba*ls can also collide with each other, changing their velocity. The simulator is written in python and for graphics, Pygame library is used. Simulator allows to add ba*ls to the This is an attempt at animating a regular matplotlib chart. The chart shows how the birth rate per thousand population decreased over the years, in relation to the infant mortality rate, for India and its neighbouring countries. Since most of these countries became independent at around the same time, the comparison sounded interesting. Obviously, the inspiration came from Hans Rosling's TED Videos Although, this is nowhere near the master story teller's brilliance with data, I thought of doing it anyway, because I wanted Pandas Dataframes ar very versatile, in terms of their capability to manipulate, reshape and munge data. One of the prominent features of a DataFrame is its capability to aggregate data. Most often, the aggregation capability is compared to the GROUP BY facility in SQL.