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Claude Code for Beginners: Step-by-Step AI Coding Tutorial

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 Artificial Intelligence is changing how developers write software. From generating code to fixing bugs and explaining complex logic, AI tools are becoming everyday companions for programmers. One such powerful tool is Claude Code , powered by Anthropic’s Claude AI model. If you’re a beginner or  an experienced developer looking to improve productivity, this guide will help you understand  what Claude Code is, how it works, and how to use it step-by-step . Let’s get started. What is Claude Code? Claude Code is an AI-powered coding assistant built on top of Anthropic’s Claude models. It helps developers by: Writing code from natural language prompts Explaining existing code Debugging errors Refactoring code for better readability Generating tests and documentation In simple words, you describe what you want in plain English, and Claude Code helps turn that into working code. It supports multiple programming languages, such as: Python JavaScri...

2 Top Python Libraries to Create ML model

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To Create a Model of Machine Learning in Python, you need TWO libraries. One is 'NUMPY' and the other one is 'PANDAS'. 2 Top Libraries You Need To Build a model of Machine learning you need the right kind of data. So, use the data for your project should be refined. Else, it will not produce correct results. The prime steps are Data Analysis and Data Preprocessing. NUMPY - It has the capabilities of Calculations. PANDAS- It has the capabilities of Data processing. How Install Python Machine Learning Libraries  import  NumPy as np # linear algebra import pandas as PD # data processing, CSV file I/O (e.g. PD.read_csv) How to Check NumPy/Pandas installed After '.' you need to give double underscore on both sides of the version.  How Many Types of Data You Need You need two types of data. One is data to build a model and the other one is data you need to test the model. Raw data Evaluate-data How to Build a Model Flowchart I have given a f...

Real thoughts on IBM power8 servers to use on analytics

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IBM Servers International Business Machines Corp, in its latest attempt at reviving demand for its hardware products, is launching high-end system servers that it says are 50 times faster than its closest competitor at analysing data.  The POWER8 servers , the product of a $2.4 billion, three-year investment, are part of the company's decade-long shift to higher-value hardware technology.    IBM  said the machines are 50 times faster than the low-end x86-based servers it sold to Chinese PC maker  Lenovo  Group Ltd in January.  The technology services provider said on Wednesday it hopes the servers, designed for large-scale computing, will appeal to clients looking to manage new types of social and mobile computing and mass amounts of data. Last week, the company reported its lowest quarterly revenue in five years, weighed down by falling demand for its storage and server products. IBM dominates the higher-end server market with 57 percent ...