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Data science and AI using python programming. 3. Creative Web Designing. 4. Java script 5. chess Facilities: 1. Live interactive ...

Event: PyData Lancaster, 25 May 2022 in Fraser House, Lancaster, United Kingdom.

For reference:https://github.com/pylens/Python-with-AI-ML.

For reference and Tasks: https://github.com/pylens/Python-with-AI-ML.git.

Welcome to our comprehensive Playwright tutorial where we get familiar with the concept of Page Object Models (POM) and how ...

Python Tutorial Part 5 | Mastering Relational & Logical Operators 📌 About This Video: Logic is the heart of programming! In ...

In this talk, I'll go through the process of using Python, from your local setup (terminal, virtual env, editor) to writing code, testing ...

4:06 – Sectors where Python is Mostly Used 5:07 – What is Automation & How Python Helps 6:08 – Are Python Scripts Lengthy for ...

Wanna start Python today. Hands-down, Stand-alone JupyterLab is the way to go. Except for it's upgrade story. That'll be solved ...

... 6:12 Creating a Pass Template - 8:36 Coding with PassNinja API - 14:48 Running Python script - 20:14 Issuing first pass - 21:34 ...

For Reference: https://github.com/pylens/Python-with-AI-ML.

Welcome to our tutorial on how to scrape data from a website, store it in an SQLite database, and create a Flask API to retrieve the ...

Hello Everyone, in this video, we dive into the concept of polymorphism in Python and how it plays a crucial role in object-oriented ...

Kodlot's presentation on Code Club Copenhagen Meetup in April 2024. This talk aims to provide a few examples of how cloud ...

Today we discuss a common question on Reddit, “What should I learn next?” Unfortunately, this is asked by rookie developers ...

We walk through the process of building this tool, starting with a Python script to record the audio and then integrating transcription ...

Neste vídeo você irá aprender sobre como realizar interações com strings através das funções Encode e Decode do Python num ...

Audit at the speed of thought - Speaker: John (skateboarding dog) How far can we push the limits of source code analysis?