Building the future at ulife.ai

  • The best introduction to MPI (Message Passing Interface) with python

    The best introduction to MPI (Message Passing Interface) with python

    The Message Passing Interface abbreviated as MPI is a standard for parallel and distributed computing. It is a communication protocol that helps to make a computation on different computers within a network… In this environment, computers launch processes that run in parallel, and they exchange data by passing messages from one to another.  The most…

  • Everything you need to know about threading with python

    Everything you need to know about threading with python

    From Module 1: Parallel computing (using threads, MPI, GPU computing)  1.  Threads Basics A process can be viewed as a running program usually in an isolated environment (with its own memory) and managed by the operating system. With the evolution of processes and operating systems schedulers, it is possible to run several processes in parallel…

  • The best API Facker in the world : Json placeholder alternative

    The best API Facker in the world : Json placeholder alternative

    Hello everyone! today’s article is about an API faker I have found recently online, it was so amazing that I decided to write about it. It is called API draft: They are still in beta now, but we will discover them together in this article. For frontend developers, or junior developers trying to learn, it…

  • How to add Docker to a flask project and deploy on a VPS [Docker Coqui TTS]

    How to add Docker to a flask project and deploy on a VPS [Docker Coqui TTS]

    After the last 3 articles, this is the last part of our series of creating a text-to-speech synthesizer and deploying it online. And in this episode, we will create the docker images, launch and deploy containers, and link it to a subdomain. Here the steps are simple and straightforward. We must create a requirements.txt file…

  • How to Add backend ReCaptcha to a flask server  (Coqui TTS)

    How to Add backend ReCaptcha to a flask server (Coqui TTS)

    Hello. This is part 3 of our application and in that episode, we will integrate Recaptcha to a flask app on the backend. The frontend integration is done, but I will explain a bit also. Frontend On the front end, we just need to follow the steps from the google website. So what we can…

  • How to create a flask app for a text-to-speech (Coqui TTS) synthesizer

    How to create a flask app for a text-to-speech (Coqui TTS) synthesizer

    Hello everyone in our today article we will continue the last article about creating a TTS in python in 10 minutes And today we will create a flask app that will serve our application as a web application accessible to everyone. And our TTS fine was the last thing we got. We must first create…

  • How to Create a Perfect text to speech in python in 10 minutes with Coqui TTS

    How to Create a Perfect text to speech in python in 10 minutes with Coqui TTS

    Hello everyone, in this article, we will discover one really interesting TTS (text-to-speech) open-source, easy-to-use, free-for-commercial use project from coqui-ai. We will create a simple text-to-speech synthesizer in less than 10 minutes that sound really human-like. Let’s get started! You can find the complete video down there. So there are really interesting text-to-speech packages that…

  • How to Preprocess a raw spam dataset : Dixto [3]

    How to Preprocess a raw spam dataset : Dixto [3]

    Hello everyone this is the fourth index of dixto and in this index, we will show something a bit more technical. We will be preprocessing one of the datasets that we have downloaded from the last index. As usual here if the video link from youtube but this article will be more detailed. If you…

  • How to find datasets online for a data science project: Dixto [2]

    How to find datasets online for a data science project: Dixto [2]

    It has been 3 indexes until here and the dataset problem is the hardest problem to solve for this problem. In this article, we will solve that problem (or at least try 🙂 ) Generally, it seems easy to collect data online for an ML project. There are multiples methods affordable for anyone for any…

  • User interview for the spam filtering software: Dixto [1]

    User interview for the spam filtering software: Dixto [1]

    After the first article present here. We went though the analysis of the users needs and got a lot of feedback present in this index 2: We have interviewed developers, communities managers, and database Administrators. And we have got a lot of feedback, from all those interviews. The result of those interviews are the following.…

Got any book recommendations?