Static AI

          A Beginners Introduction to Graphs Data Structure Graphs are a non-linear data structure used widely in technical world applications to solve real-world problems. Graphs are basically the collection of nodes (vertices) and edges. Google search, Google Maps, even social media sites use Graphs data structures to solve problems. These data structures are so powerful that you won't even imagine how diverse their real-world applications can be.                Real-world Applications:- GPS System and Google Maps use graphs to find the shortest path from one destination to other. Social Networks use graphs to represent connections between users. The Google Search Algorithm uses graphs to determine the relevance of the search result. Chemistry uses graphs to represent molecules.                                             GRAPH SUB-OPERATIONS Graphs are used to represent, find, analyze and optimize the connection between elements(hous

                      Python is an object-oriented interactive and very high-level language. It is an interpreted language and we can do more number of a task with python in very less line of codes. Python has a clear and concise syntax which increases the readability of source code. The language includes several high-level structures(list, dictionaries, complex number etc.). The language supports modular, functional and object-oriented programming.  The basic types in Python are objects. The language is interpreted through bytecode by the Python virtual machine, making the code portable. This makes it possible to build applications on one platform and run them on other systems. Python uses dynamic typing, which means that the type of variable is inferred by an interpreter at runtime. By the time a variable is created by attribution, the interpreter defines the type of a variable, along with the operations that can be applied. History:- This language was created in 19