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The following below is a not entirely trivial algorithm for students that creates a Python dictionary after scanning text according to the conditions of the problem, which gets converted into Pandas Dataframe and uploaded to SQLite database table to be analyzed via nested SQL Query.

The following below is a not entirely trivial algorithm for students that creates a Python dictionary when scanning text according to the conditions of the problem, which is then processed as Pandas Dataframe to provide the output required

We intend to rely on https://github.com/mathbunnyru/python-cpp-extension . We also would convert lists to sets and vice-versa and utilize method set1.difference(set2) . Sometimes Python tricks make you really excited

This post is an immediate follow up for http://lxer.com/module/newswire/view/306255/index.html what will result significant performance boost vs python's version of the sieve of Eratosthenes procedure.

The major target of this approach is performance improvement when looking for the highest prime number less than 10.000.000 with a given sum of decimal digits. The problem requires implementation of sieve of Eratosthenes

First - Fedora 35 Beta Server deployed as L1 KVM Guest on F34 Bare metal Server . Nested virtualization enabled via virsh console on F34 Server. Complete KVM && Cockpit install performed on L1 F35 Server Guest per https://computingforgeeks.com/how-to-install-kvm-on-fedora/

Back in the year 1993, Linus Torvalds walked into a bar. He saw a lonesome cowboy about to mercilessly dig into a bowl of kernels. The cowboy said:Mmmmm, those kernels are the best… And that’s how a new operating system was born. Not with 10,239 lines of code, but with a kernel. True story!

First I've installed the most recent nightly build of Fedora 35 Server on Fedora 34 Bare metal KVM Virthost as Guest OS with "Fedora Workstation" desktop, like virtual machine seating on the Linux bridge been created via Web Cockpit Console. When done issued the following set of commands on F35 Guest

The problem itself is to find all solutions of the following equation on the real axis - cos (cos (cos (cos (x)))) - sin (sin (sin (sin (x)))) = 0. We intend to prove that equation above doesn't have any solution via creating a python script importing NumPy and Matplotlib.

I am posting this Howto due to currently available instructions on the Internet don't focus the user's attention on installation packages "ovmf" and "virt-viewer" on the most recent release Manjaro KDE. Skipping mentioned packages causes issues with Remote Viewer (Cockpit Console) and the ability to deploy KVM guests in UEFI mode

The presence of Web Cockpit Console is a nice way to manage KVM guest's deployment via clicking the button "Remote Virt-viewer" built into Cockpit Web Console. Bridge attached to external network interface was also created pretty smoothly utilizing network management section inside Web Console. However, it doesn't look to me as a reason to deprecate virt-manager .

First notice that we intend set up Ubuntu DDE on Ryzen 7 3700 box with board MSI X570 A-PRO in UEFI mode with "kvm" enabled. Enable SVM in the BIOS Setup due to it is disabled by default. This step might be the hardest to complete in the whole installation procedure.

Following below is a brief set of instructions setting up KDE Plasma on RockyLinux along with Gnome Desktop Manager which is actually needed to support graphical login, otherwise system might be started via text login followed by "startx". The core idea is to install and activate just GDM to make graphical login enabled on Rocky Linux 8.4

Following below is a brief set of instructions to install sqlitebrowser on RockyLinux 8.4 , which installs sqlite-devel before building the most recent Python release via source tarball

In this post I follow approach suggested in How to wrap a C++ object using pure Python Extension API which differs from C++ coding technique been presented earlier. Public Class Strike containing method "filter" is supposed to be declared. Later on in PyStrike_init( ) new instance of this class is been created.

The core test is converting numpy array into matrix 5x5 in Armadillo C++ inversion matrix into matrix C and verification myMat * C = E , afterwards we can safely return matrix C to Python Runtime Module

This post is an immediate followup for the most recent post at Lxer.com regarding return of one string. Consider the task already been treated with 2D vector and dumping the content of vector to disk file. This approach would allow us to solve the same task via to straight forward returning vector of strings from C++ procedure to Python module.

Writing C++ procedure below we get a final answer as C++ string , then via sequence of operations which convert string to the pointer (say c) to "const char" and finally return required value via pointer to PyObject provided by PyUnicode_FromString(c) to Python Runtime module.

The version of C++ code here differs from the first one been posted at Lxer.com . Vector "v1" been pushed back by 2D vector "vec" is supposed to be re-declared before every next push back by "vec" versus option of been cleaned up in previous version of compilation.

I was unable to return 2D vector from C++ to Python via Python API. Thus content of 2D vector has been written to file and later on the Python Runtime Module displayed the content of file been created inside C++ procedure.