Cyber crime Investigation

Quantam Computing  Quantum computing is one of the promising tools to address complex problems which take more time to provide solutions. Quantum computing works on the qubits or quantum bits. It has been found that the number of qubits is directly proportional to the performance of the system. Health and agriculture are the two important sectors which deal with different complex multi-objective and many-objective problems. As the objectives are associated with multiple features and multiple computations, quantum computing works on those multiple features at a time to address specific objectives within an optimal time period. This chapter explains the basics of quantum computing and application of it both in both the health and agriculture sectors. Agriculture   In the case of plants, instead of identifying the exact gene to change to, say, improve drought resistance, we crossbreed promising varieties and conduct yield trials — thousands upon thousands of them — to see if the...

Task 09 👨🏻‍💻 Team Task Kubernetes Integration with Python-CGI Task Description 📄 📌 In continuation of task 7.1 you need to Integrate Kubernetes commands that can be run through webUI created by you. 👉 This time create webUI page as such that using normal English conversation your all commands can run in background. Example - when we write 'run deployment using httpd image' then it run complete deployment command in backend. Feature necessary - 👉 It can launch pods with specific name given by user. 👉 Run deployment using image and name given by user. 👉 Expose services on given user input port number. 👉 Scale the replica according to user need. 👉 Delete complete environment created. 👉 Delete specific resources given by user. 👉 Extra features related to k8s ( Optional) Note - There should be webUI based menu display so that user can get to know what your webapp can do.

  Date Command In Linux  The date  command is simple. However, it has several useful options that enhance it. It's also capable of giving you practical information about past or future dates. date  command is used to display the system date and time. date command is also used to set date and time of the system. Basic Syntax for Date The most basic syntax for the date  command is simply to type in the command with no options and no format controls. cmd:date --date= STRING Basic Format Control Syntax Use one or more format controls to display information. Here is the general syntax: # date +%<format-option> Let's look at a few examples. Use Dashes(-) and Slashes(/) between the fields we use date +"%Y-%m-%d" where %Y is for year ,%M for months and %d is for date,and in between we either use '-'or '/'.  Displaying the Year, Month, and Day fields labeled . We can also labeled by writing date +"YEAR=%y,MONTH=%m,DAY=%d". Set Coordinated Unive...

 Dynamic Programming in a #rightapproch It was really a great session by our mantor Vimal sir, this session was long but it give me a new way of thing how to deep dive into something and know the answer of advance from the core one.it give me gave me the one most very intresting scene of very popular movies 3 idiot where amair khar tell to the proffecer that he teach him "how to teach",every indian mind set is to come top by anyhow by sitting and chanting topic like bhajans ,we never have intrest in knowing how the thing work as that sir tell us in his session .it was really a life changing session just the 2 day session affect my mind soo deeply .i'm really thankful to vimal sir for this wounderful session and at last i'm really eager to be a part of Arth 2.0 and i'm really excited for it and started updating my knowlege and laptop too..... #dynamicprogramming #dp #programming #dsa #mastersession #righteducation #vimaldaga #worldrecordholder #dpbylw 

Clustering Clustering is an unsupervised algorithm to discover groups of similar things, ideas, or people. Unlike supervised algorithms, we're not training clustering algorithms with examples of known labels. Instead, clustering tries to find structures within a training set where no point of the data is the label. K-Means Clustering K-Means is a clustering algorithm with one fundamental property:  the number of clusters is defined in advance . In addition to K-Means, there are other types of clustering algorithms like Hierarchical Clustering, Affinity Propagation, or  Spectral Clustering. How K-Means Works Suppose our goal is to find a few similar groups in a dataset like: K-Means begins with k randomly placed centroids.  Centroids, as their name suggests, are the center points of the clusters . For example, here we're adding four random centroids: Then we assign each existing data point to its nearest centroid: After the assignment, we move the centroids to the average ...