Python’s built-in id(object) function takes a Python object as an input and returns the identity of an object that is a static, unique integer. The identity is static, it never changes throughout the program’s execution, and unique, no other object has the same identity. It is implemented in cPython by returning the address of the … Read more
Python’s built-in vars() function returns the __dict__ attribute of an object—a dictionary containing the object’s changeable attributes. Without argument, it returns the local symbol table similar to locals(). Python’s built-in vars() function returns a dictionary of name: value mappings of all the names defined in the local scope or the scope of the optional object … Read more
Hey Finxters! It is time to do yet another cheat sheet! This time we are going to step away from Python (only for a moment!) and discuss GoLang. Unlike Python, which is dynamic- GoLang is a procedural and statically typed language similar to the C programming language. It is currently one of the trending programming … Read more
Having spent 7 years in CNC programming, I never realized how many options were available for programming, until recently. The one thing that was always clear was that programming was fun. Just you and the machine working together to create something no one else had ever created. As my carrier has progressed, I have had … Read more
Python’s built-in type() function has two purposes. First, you can pass an object as an argument to check the type of this object. Second, you can pass three arguments—name, bases, and dict—to create a new type object that can be used to create instances of this new type. Usage Learn by example! Here’s an example … Read more
A simple and effective way to grow your computer science skills is to master the basics. Knowing the basics sets apart the great coders from the merely intermediate ones. One such basic area in computer science is graph theory, a specific subproblem of which—the pathfinder algorithm—we’ll address in this tutorial. So first things first: What … Read more
Python’s built-in object() function takes no argument and returns a new featureless object—the base and parent of all classes. As such it provides all methods that are common to all Python class instances such as __repr__() and other “dunder” methods. However, unlike for all non-object instances, you cannot assign arbitrary attributes to an instance of … Read more
Hey Finxters! It is time for another Python Cheat Sheet! As a brief introduction, OpenCV is an open-source computer vision and machine learning software library of programming functions mainly aimed at real-time computer vision. In this article, I am bringing you the best 10 Python cheat sheets on OpenCV. Let me introduce Python OpenCV to … Read more
![Numpy Weighted Average np.average(array, axis=0, weights=[0.1,0.1,0.8])](https://blog.finxter.com/wp-content/uploads/2018/08/Numpy-Weighted-Average.png)
Problem Formulation: How to calculate the weighted average of the elements in a NumPy array? Definition weighted average: Each array element has an associated weight. The weighted average is the sum of all array elements, properly weighted, divided by the sum of all weights. Here’s the problem exemplified: Quick solution: Before we discuss the solution … Read more
Python’s built-in repr(obj) function returns the standard string representation of the provided object. This often includes the type and memory address of the object—for lack of further information. For example, the returned string representation may be ‘<main.Car object at 0x000001F66D11DBE0>’ for a custom object of type Car. The function internally calls the method obj.__repr__() which … Read more
Python’s built-in str(x) function converts the object x to a string using the x.__str__() method or, if non-existent, the repr(x) built-in function to obtain the string conversion. Syntax str() Syntax: str(object) # –> Most common case: convert an object to a string str(object=b”, encoding=’utf-8′, errors=’strict’) # –> Not so common case: Converts a bytes or … Read more
NumPy is a popular Python library for data science focusing on arrays, vectors, and matrices. This article introduces the np.average() function from the NumPy library. When applied to a 1D array, this function returns the average of the array values. When applied to a 2D array, NumPy simply flattens the array. The result is the … Read more