Graphical Processing Units (GPUs) are hardware accelerators for compute, when writing an algorithm we want to squeeze the most of our machine, i.e. we want to maximize the number of floating point ...
In this post we will learn how to expose CUDA functionality in Python so effectively calling your custom CUDA code from Python without much hassle. Introduction CUDA is not the simplest framework...
Previously in C++ basic Python extension we learned the basic mechanism on building a C++ extension for Python. Here in this post we will be more practical and we will create a full end to end pack...
In this post we dive a little bit deeper into CUDA and GPU parallelization with a more practical case: Matrix multiplication. Matrices are used everywhere, in convolutions, solving linear systems o...
BLAS is the basic linear algebra subprograms library, It’s a well tested library for basic algebraic operations. For instance, vector operations, dot products, matrix transpositions, multiplication...
Recently I found myself with the need to transcribe an entire YouTube interview. The prupose of this post is to use AI to transcribe the audio to text and then translate from Spanish to English. T...
Phockup (in case this link dissapears I also forked it in my repository) is photo backup, a useful command line tool to organize your pictures. In this post we’ll show how to isntall and use it. Th...
Veracrypt is a free, open-source encryption software used to: Create encrypted volumes (containers) to securely store files. Encrypt entire disks or partitions, including system drives. Pro...
GPUs or Graphical Processing Units have become essential in high performance computing these days. They are efficient hardware that can parallelize small calculations. For instance, in Machine Lear...
This is my first post in CUDA, I have been working for a while using this technology and want to share some utilities that can be useful for newcomers to the field. All the code will be available i...
In this post we will see the most basic example for encrypting your messages, then we will show that this by no means is secure and finally we will introduce what it means to have a perfect secrecy...
C++ and Python are very different programming languages, the first one is compiled and low level whereas the second one is interpreted. C++ is a lot faster than Python but, can we leverage the perf...
n previous posts we have been compiling and linking projects using bash commands, we had to write all commands explicitly to build the projects. This is ok for small projects with few source files ...
As mentioned in other posts C++ is a rich programming language that has been out there for a while, it’s predecessor C was created in the 70s and C++ in 1979. Naturally many projects flourished usi...
In C++ we constantly deal with libraries that are compiled in our system like the standard libraries or other libraries such as OpenCV (for computer vision) Boost (for linear algebra, pseudorandom...
Normally when dealing with C++ projects, developers structure their code in source files and headers. Here I want to show how to create a simple project without external dependencies. The entire ex...
This post is about C++ and the way we can compile a C++ program. I remember in the early days of my PhD in physics that I used to write all my code into one main.cpp and compile it into an executab...
In this post we will review what is breadth first transversal and compare it to depth first transversal. As usual the code can be found in my github repository blogging-code and for this post in th...
In this post we will show how to transverse a graph using the depth first search algorithm. As usual we will use an example to explain it. Find the code of this post in my github repository bloggin...
A graph is a structure used in graph theory, consisting of vertices (or nodes) and edges (or links) that connect pairs of vertices. Graphs are used to model relationships, networks, and structures ...
I’m a big fan of Raspberry Pi’s (RP), so far I had three, the second, the third and the fourth generation. It all started as a side project to have fun: host services, setup an ssh server, install ...
uv is a more modern tool to build environments and manage python projects. It’s built in Rust and claims to be extremely fast in resolving dependencies (10x-100x speedup compared to pip). TLDR Ge...
Python Poetry is a tool for package dependency management and packaging. It has become very popular among developers. TLDR To create a virtual environment, first install poetry in your project p...
As they describe in pipenv documentation: Pipenv is a Python virtualenv management tool that supports a multitude of systems and nicely bridges the gaps between pip, python (using system python, py...
This is a first post in which I intend to explain the basic ingredients needed to understand the cryptography for privacy preserving machine learning topics. Here I will cover number theory, for py...
The easiest way to distribute your code is to packagify it, this is create a package that can be pip installed, in this post I am going to show how to do that. Project structure First you need to...
Docker is a containerization platform that allows developers to package applications and their dependencies into containers. Containers provide an isolated environment that runs the application the...
virtualenv is a convenient tool to install virtual environemnts. Part of it is already implemented in venv for python>=3.3. Install virtualenv virtualenv is a package of python so you can inst...
We have seen so far how to get different python versions in your system and briefly how to install packages using pip install. In real projects you want to take control over both, python version as...
In the previous posts we have seen how to install different python versions in the system but in a cumbersome way, either using brew to install another version in your system (and modify manually t...
Anaconda is a distribution of the Python and R programming languages for scientific computing, data science, machine learning, and large-scale data processing. It simplifies package management and ...
In the previous posts of this series we have used installers that are platform specific so we don’t need to go through the process of compiling Python. In this post we will explore how to build pyt...
HomeBrew is a popular Linux/MacOS package installer. We will use it to install python. MacOS TLDR Download and install homebrew and install python /bin/bash -c "$(curl -fsSL https://raw.githubus...
Python is a very popular scripting language, according to StackOverflow 2023 survey it is the third most commonly used language and the fourth in the ranking for professional developers. All in all...
Prime numbers are the building blocks of arithmetics. In this short post we will investigate some attributes of prime numbers and how to work with them in a computer. One of the main applications ...