Python Guided Project Building Tic-Tac-Toe from Scratch [EN]

🎓 What will you learn?

This #course is designed for beginners who want to learn #Python by creating a Tic Tac Toe game.

You will learn how to program game logic using random numbers, without the need for user input.

This is a practical introduction to #IT and programming with an emphasis on developing skills that are in demand in the industry.

🖥 By: https://t.me/Python53

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Python Guided Project Building Tic-Tac-Toe from Scratch [EN]

🖥 By: https://t.me/Python53

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🔥 MIT has updated its famous course 6.S191: Introduction to Deep Learning.

The program covers topics of #NLP, #CV, #LLM and the use of technology in medicine, offering a full cycle of training - from theory to practical classes using current versions of libraries.

The course is designed even for beginners: if you know how to take derivatives and multiply matrices, everything else will be explained in the process.

The lectures are released for free on YouTube and the #MIT platform on Mondays, with the first one already available

.

All slides, #code and additional materials can be found at the link provided.

📌 Fresh lecture : https://youtu.be/alfdI7S6wCY?si=6682DD2LlFwmghew

#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #GAN #LearnDataScience #LLM #RAG #Mathematics #PythonProgramming  #Keras

https://t.me/CodeProgrammer ✅

🔅 Python Quick Start

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📈 Introduction to Qdrant (Vector Database) Using Python [EN]

🎓 What will you learn?

In this #course, you will gain practical skills in working with Qdrant through its Python interface.

You will learn how to store, search, and manage vectors and their data.

The course includes examples, #Python notebooks, tests and explains the basic concepts of #Qdrant.

🖥 By: https://t.me/Python53

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Introduction to Qdrant (Vector Database) Using Python [EN]

⭐️ Tags: 
#PythonCheatSheet #PythonProgramming #DataScience #CodingTips #Python3 #LearnPython #ProgrammingGuide #PythonSyntax #CodeSnippets #DataStructures #OOP #Regex #ErrorHandling #PythonLibraries #CodingReference #PythonTricks #TechResources #DeveloperTools #PythonForBeginners #AdvancedPython

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⌨️ #Python Celery for Distributed Tasks and Parallel Programming [EN]

🎓 What will you learn?

Learn to analyze data using Pandas and Spark, and create background tasks using Celery and RabbitMQ.

This course covers loading data from various sources, processing large amounts of data using DataFrame, running parallel tasks, and integrating with Kafka JDBC Connector.

🖥 By: https://t.me/Python53

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Python Celery for Distributed Tasks and Parallel Programming [EN]

🖥 By: https://t.me/Python53

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https://t.me/DataScienceN 😱

💋 Django & React Web App Tutorial - Authentication, Databases, Deployment & More... 😍

🖥 By: https://t.me/Python53

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Transformer by Hand ✍️ in 5 Minutes with Anna Rahn

📂 Tags: #python #ML #Transformer

http://t.me/codeprogrammer 🌟

👩‍💻 Contextual Multi-Armed Bandit Problems in Python [EN]

🎓 What will you learn?

Learn the Multi-armed Bandit and Contextual Bandit algorithms from scratch.

Understand greedy, UCB and Thompson Sampling methods, learn to use #Bayesian distributions and analyze contextual bandits with LinUCB.

The course combines theory and practice, helping to apply #algorithms in real projects.

🖥 By: https://t.me/Python53

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Contextual Multi-Armed Bandit Problems in #Python [EN]

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Loading CSV files into a database using Python.

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فرصة عمل عن بعد 🧑‍💻
لا يتطلب اي مؤهل او خبره الشركه تقدم تدريب كامل ✨
ساعات العمل مرنه  ⏰
يتم التسجيل ثم التواصل معك لحضور لقاء تعريفي بالعمل والشركه

https://forms.gle/hqUZXu7u4uLjEDPv8

Four best-advanced university courses on NLP & LLM to advance your skills:

1. Advanced NLP -- Carnegie Mellon University
Link: https://lnkd.in/ddEtMghr

2. Recent Advances on Foundation Models -- University of Waterloo
Link: https://lnkd.in/dbdpUV9v

3. Large Language Model Agents -- University of California, Berkeley
Link: https://lnkd.in/d-MdSM8Y

4. Advanced LLM Agent -- University Berkeley
Link: https://lnkd.in/dvCD4HR4

#LLM #python #AI #Agents #RAG #NLP

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