Python Download files from Google Drive using Python You will create a python script to download files from and upload files to Google drive. After you have created the script, you can integrate it with your web applications and APIs to download files from and upload files to Google drive.
Algorithms Interpolation Search [EXPLAINED] In this article, we have explained the concept of Interpolation Search and analyzed the performance of interpolation search in terms of time and space complexity.
Machine Learning (ML) XNet architecture: X-Ray image segmentation Medical image processing is an important application in Computer Vision,requires segmentation of images into body parts. Joseph Bullock and his partners in Durham University proposed a neuron network called XNet which is suitable for this task.
System Design How Spotify went down after an outage? On March 8, 2022, Spotify faced an outage and Spotify went down for 2 hours. Let us see what happened and what concepts we can learn from this outage.
backtracking Iterative Backtracking In this article, we will be exploring the idea of backtracking with the help of iteration (Iterative Backtracking) along with example as well. The Time and Space Complexity will be discussed at the end of the article.
List of Mathematical Algorithms Andrica's conjecture Andrica's conjecture states that for every gap between two consecutive square roots of prime numbers, the value of it is less than 1.
List of Interview Questions 70 Spring Interview Questions and Answers Spring is a Java based framework. It was developed by Rod Johnson. The first version of spring framework was released by Rod Johnson. In this article, we have covered 70 Spring Interview Questions and Answers.
Machine Learning (ML) Word Embeddings: GloVe and Word2Vec Word Embeddings correlates the likeness of the meaning of words with their relative similarity and represent them numerically as a vector.
Machine Learning (ML) Feature Selector Using LASSO A technique for reducing the dimensionality of machine learning datasets is the Feature Selector. The selection process of the Feature Selector is based on a logically accurate measurement that determines the importance of each feature present in the data.
Algorithms Generate all palindromes less than N In this problem, we will see how to generate palindromic number in a given range efficiently by exploring the patterns of palindromes.
Machine Learning (ML) Seq2seq: Encoder-Decoder Sequence to Sequence Model Explanation In Deep learning, we all know that Recurrent Neuron Network solves time series data. Sequence to Sequence (or Seq2Seq for short) is a kind of model that was born to solve "Many to many" problem.
Culture Should developers have access to production? In this article, we explore if developers should have access to production and the solution that is used in real life.
Linux Use astyle to format C++ code In this article, we have presented how to use astyle tool to format C/ C++ code files and set your custom code format style.
Algorithms Scramble String problem We will be given two strings a, and b we have to check whether one string is scrambled version of other string or not.
Algorithms Biconnected graph A biconnected graph is a graph that is connected and has no articulation points.
Machine Learning (ML) Questions on Random Forest In this article, we have presented the most important Interview Questions on Random Forest.
Culture DevOps is not simpler than SDE In this article, we will burst the myth that DevOps is simpler than Software Development and requires only manual coding work. The reality is DevOps is equally challenging with minimal manual or repetitive work.
TensorFlow Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2 AVX512 VNNI FMA [Solved] In this article, we have understood the reason behind the warning "TensorFlow binary was not compiled to use: AVX AVX2 AVX512 VNNI FMA" and presented 3 fixes using which the warning will not come.
Graph Algorithms Entropy of Graph In graph theory, entropy is the index for describing the structure and function of a network. Entropy is related to amount of information stored in a graph. This is used in field of computer science to check compression of data as compressed data is more random and hence has higher entropy.
Machine Learning (ML) Super Resolution GAN: SRGAN Super Resolution GAN (SRGAN) is generative adversarial network that can generate high resolution images from low resolution images using perceptual loss function that is made of the adversarial loss as well as the content loss.
DevOps Benefits of using Kubernetes I have learned that you can never underestimate the importance of good tools. And when it comes to container orchestration, there is no better tool than Kubernetes. Here are some of the benefits of using Kubernetes.
C++ Undefined reference to std::cout [FIXED] In this article, we have present the reason behind the error "Undefined reference to std::cout" and different approaches to fix this error.
Algorithms Geometric Hashing Geometric hashing is a computer vision technique used to detect geometric features in images and matching them to a database with such features. What makes geometric hashing stand out is that it can detect overlapping objects.
Software Engineering Interview Questions on MatLab In this article, we have presented the most important Interview Questions on MatLab along with detailed answers.
Software Engineering How did Netflix become so good at DevOps by not prioritizing it? Isn't it bizarre that Netflix became good at DevOps by not prioritizing it? It's like saying that Michael Jordan became a great basketball player by not shooting hoops. But that's the truth.
