When travelling in a car as a kid, did you ever play a game where you counted the number of cars that passed by? That used to be my favourite game as a kid. In this post, I will teach you how to build your own car counter program in just 10 lines of code using Python. Here is the code to import the required python libraries, read an image from storage, perform object detection on the image, display the image with a bounding box and label about the detected objects, count the number of cars in the image and print it.
Python Remote Objects AKA Pyro is a python library that enables you to build applications in which objects can talk to each other over the network, with minimal programming effort. You can just use normal Python method calls, with almost every possible parameter and return value type, and Pyro takes care of locating the right object on the right computer to execute the method. It also provides a set of important features that lets you to build distributed applications rapidly and effortlessly. Siconos is an open-source scientific software package for the modeling and simulation of nonsmooth dynamical systems in C and Python. Do you like this list of best python libraries for Robotics? If yes, Please share this post with the ones who are working or studying robotics as well as with your friends and others. And if you're an Android user, please check out INSANE APP
Folium builds on the data wrangling strengths of the Python ecosystem and the mapping strengths of the Leaflet.js In this blog, we are going to talk about Folium Python library. Folium builds on the data wrangling strengths of the Python ecosystem and the mapping strengths of the Leaflet.js Manipulate your data in Python, then visualize it in on a Leaflet map via Folium Folium makes the Data Visualisation interesting and easy way to plot and mark the longitudinal and latitudinal data on the map. We can use longitudinal and latitudinal points in order to mark the location on the map and even find the locations too.
The world today is generating a voluminous amount of data than ever before. IDC predicts that the worldwide data will reach 175 zettabytes by 2025. Managing such amounts of data provides enterprises the ability to deliver enhanced business services. However, it requires inclusive knowledge and proficiency in big data analytics capabilities. Python programming language offers a large number of libraries to work on big data. Thanks to its easy readability and statistical analysis capacity, Python is the most widely used in data science, AI, machine learning, and deep learning.