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Core Python Cheatsheet.pdf
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Python is a high-level, interpreted programming language known for its simplicity, readability, and
 versatility. It was first released in 1991 by Guido van Rossum and has since become one of the most
 popular programming languages in the world.
 Python’s syntax emphasizes readability, with code written in a clear and concise manner using whitespace and indentation to define blocks of code. It is an interpreted language, meaning that
 code is executed line-by-line rather than compiled into machine code. This makes it easy to write and test code quickly, without needing to worry about the details of low-level hardware.
 Python is a general-purpose language, meaning that it can be used for a wide variety of applications, from web development to scientific computing to artificial intelligence and machine learning. Its simplicity and ease of use make it a popular choice for beginners, while its power and flexibility make it a favorite of experienced developers.
 Python’s standard library contains a wide range of modules and packages, providing support for
 everything from basic data types and control structures to advanced data manipulation and visualization. Additionally, there are countless third-party packages available through Python’s package manager, pip, allowing developers to easily extend Python’s capabilities to suit their needs.
 Overall, Python’s combination of simplicity, power, and flexibility makes it an ideal language for a wide range of applications and skill levels.


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🏆 Unlock Data Analysis: 150 Tips, Practical Code

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This combination is perhaps as low as we can get to explain how the Transformer works

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python-interview-questions.pdf
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100 Python Interview Questions and Answers

This book is a practical guide to mastering Python interview preparation. It contains 100 carefully curated questions with clear, concise answers designed in a quick-reference style.

#Python #PythonTips #PythonProgramming

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Python Interview Codes Cheatsheet
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Python_tasks_solutions.pdf
23.8 MB
Python Interview Codes Cheatsheet

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🤖🧠 PokeeResearch: Advancing Deep Research with AI and Web-Integrated Intelligence

🗓️ 09 Nov 2025
📚 AI News & Trends

In the modern information era, the ability to research fast, accurately and at scale has become a competitive advantage for businesses, researchers, analysts and developers. As online data expands exponentially, traditional search engines and manual research workflows are no longer sufficient to gather reliable insights efficiently. This need has fueled the rise of AI research ...

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🤖🧠 Pico-Banana-400K: The Breakthrough Dataset Advancing Text-Guided Image Editing

🗓️ 09 Nov 2025
📚 AI News & Trends

Text-guided image editing has rapidly evolved with powerful multimodal models capable of transforming images using simple natural-language instructions. These models can change object colors, modify lighting, add accessories, adjust backgrounds or even convert real photographs into artistic styles. However, the progress of research has been limited by one crucial bottleneck: the lack of large-scale, high-quality, ...

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🤖🧠 Concerto: How Joint 2D-3D Self-Supervised Learning Is Redefining Spatial Intelligence

🗓️ 09 Nov 2025
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The world of artificial intelligence is rapidly evolving and self-supervised learning has become a driving force behind breakthroughs in computer vision and 3D scene understanding. Traditional supervised learning relies heavily on labeled datasets which are expensive and time-consuming to produce. Self-supervised learning, on the other hand, extracts meaningful patterns without manual labels allowing models to ...

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By: @CodeProgrammer
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🤖🧠 The Transformer Architecture: How Attention Revolutionized Deep Learning

🗓️ 11 Nov 2025
📚 AI News & Trends

The field of artificial intelligence has witnessed a remarkable evolution and at the heart of this transformation lies the Transformer architecture. Introduced by Vaswani et al. in 2017, the paper “Attention Is All You Need” redefined the foundations of natural language processing (NLP) and sequence modeling. Unlike its predecessors – recurrent and convolutional neural networks, ...

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🤖🧠 BERT: Revolutionizing Natural Language Processing with Bidirectional Transformers

🗓️ 11 Nov 2025
📚 AI News & Trends

In the ever-evolving landscape of artificial intelligence and natural language processing (NLP), BERT (Bidirectional Encoder Representations from Transformers) stands as a monumental breakthrough. Developed by researchers at Google AI in 2018, BERT introduced a new way of understanding the context of language by using deep bidirectional training of the Transformer architecture. Unlike previous models that ...

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🤖🧠 vLLM Semantic Router: The Next Frontier in Intelligent Model Routing for LLMs

🗓️ 11 Nov 2025
📚 AI News & Trends

As large language models (LLMs) continue to evolve, organizations face new challenges in optimizing performance, accuracy and cost across various AI workloads. Running multiple models efficiently – each specialized for specific tasks has become essential for scalable AI deployment. Enter vLLM Semantic Router, an open-source innovation that introduces a new layer of intelligence to the ...

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🤖🧠 Plandex AI: The Future of Autonomous Coding Agents for Large-Scale Development

🗓️ 11 Nov 2025
📚 AI News & Trends

As software development becomes increasingly complex, developers are turning to AI tools that can manage, understand and automate large portions of the coding workflow. Among the most promising innovations in this space is Plandex AI, an open-source terminal-based coding agent designed for real-world, large-scale projects. Unlike simple AI coding assistants that handle small snippets, Plandex ...

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By: @CodeProgrammer
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🤖🧠 Nanobrowser: The Open-Source AI Web Automation Tool Changing How We Browse

🗓️ 12 Nov 2025
📚 AI News & Trends

The rise of artificial intelligence has redefined how we interact with the web, transforming routine browsing into a space for automation and productivity. Among the most exciting innovations in this field is Nanobrowser, an open-source AI-powered web automation tool designed to run directly inside your browser. Developed as a free alternative to OpenAI Operator, Nanobrowser ...

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🤖🧠 Bytebot: The Future of AI Desktop Automation

🗓️ 12 Nov 2025
📚 AI News & Trends

In the era of rapid digital transformation, automation is the driving force behind business efficiency and innovation. While most AI agents are limited to browsers or APIs, a groundbreaking open-source project called Bytebot has redefined what AI can achieve. Bytebot introduces a self-hosted AI desktop agent — a virtual computer that performs complex, multi-step tasks ...

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The easiest way to write documentation for code

The open Davia project allows you to generate neat internal documentation with visual diagrams for any code.

Just install it on your system, follow the steps in their documentation, run the command in the project folder, and voila, it will generate complete documentation with structured visuals that you can view and edit 💯

👉 https://github.com/davialabs/davia

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