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How to make your first $ as a drepress programer.

Heyeveryone,Insafhere.I'mnotaprogrammer,butI'maninnovator!Mygoalistolearnmyfirstprogramminglanguageandcreatemyfirstsoftwareproductorapp.HowwillImakemoney?Inshallah!Here'smyplantoearnmyfirstdollar:StartSimple:Forbeginners,it'scrucialtobeginwithsomethi

Jan 14, 2025 pm 02:10 PM

Vyper - Write your First Smart Contract (Series)

Theblockchainlandscapeisevolving,drivingdeveloperstowardssecure,straightforward,andauditablecode.Vyperemergesasasignificantadvancementinthistrend.ButwhatexactlyisVyper,andwhyisitsoimpactful?Vyper,asdefinedinitsdocumentation,isaPythonic,contract-orien

Jan 14, 2025 pm 02:09 PM

Extract structured data using Python&#s advanced techniques

In the data-driven era, extracting structured data from multiple sources such as web pages, APIs, and databases has become a critical foundation for data analysis, machine learning, and business decision-making. Python's rich library and strong community support have made it the leading language for data extraction tasks. This article details how to extract structured data efficiently and accurately using advanced Python techniques, and briefly touches on the supporting role of 98IP Proxy in the data crawling process. I. Data crawling

Jan 14, 2025 pm 12:25 PM

Python FastAPI quickstart in uv

Use uv to quickly build a FastAPI application. The following steps demonstrate how to use uv tools to quickly create a simple FastAPI application containing GET and POST requests: Initialize the project: uvinituvaddfastapi--extrastandard Create the project directory and files: Create a folder named /app, and Add two files, __init__.py and main.py. Write FastAPI code (main.py): Copy the following code into the main.py file: fromtypingimportUnionfrompydanticimportBaseModelfromfa

Jan 14, 2025 pm 12:12 PM

Building a BLE Real-Time macOS Menu Bar App

Thistutorialdemonstratesbuildingareal-timemacOSmenubarapplicationusingaBleuIOUSBBLEdongletodisplayenvironmentaldata.BleuIOsimplifiesBLE(BluetoothLowEnergy)development,makingitidealforcreatinginnovativeprojects.macOSmenubarappsofferadiscreetwaytomonit

Jan 14, 2025 am 10:27 AM

FastHTML and Heroku

FastHTML:ASwiftPathtoWebAppDevelopmentwithPythonDevelopingnewapplicationsoftenrequiresmasteringnumeroustoolsandframeworks.ForPythondevelopers,venturingintoHTML,CSS,andJavaScriptcanbeasignificanthurdle.Conversely,webdevelopersmayfindPythonbackendtools

Jan 14, 2025 am 10:22 AM

Build an AI code review assistant with vev, litellm and Agenta

Thistutorialdemonstratesbuildingaproduction-readyAIpullrequestreviewerusingLLMOpsbestpractices.Thefinalapplication,accessiblehere,acceptsapublicPRURLandreturnsanAI-generatedreview.ApplicationOverviewThistutorialcovers:CodeDevelopment:RetrievingPRdiff

Jan 14, 2025 am 09:33 AM

Wrap and Render Multiline Text on Images Using Python&#s Pillow Library

Python image processing: Pillow library implements automatic line-wrapping text annotation. With its rich open source libraries, Python has become a leading programming language in the field of image processing. Pillow is one of the commonly used image processing libraries. It is simple, easy to use and has complete documentation. It is often used for operations such as image scaling, cropping, brightness adjustment and annotation. However, Pillow has a problem with text annotation: when the text exceeds the width of the text box, it will not wrap automatically. The Pillow library itself does not provide this function, and we need to write the logic implementation ourselves. This tutorial will demonstrate how to use the Pillow library to add a word-wrap text box in Python to achieve correct image text annotation. The final effect is as follows: The picture above is

Jan 14, 2025 am 08:59 AM

GraphDB for CMDB

GraphDBvs.RDB:ASpine-LeafArchitectureSearchSpeedComparisonThisstudybenchmarksthesearchspeedofGraphDB(Neo4j)andRDB(PostgreSQL)whenqueryingdatarepresentingaspine-leafnetworkarchitecture.TheresultsrevealthatGraphDBoutperformsRDBfordatasetswithnumerousno

Jan 14, 2025 am 08:45 AM

Exporting Mac OSX Book Highlights into an Obsidian Vault or Markdown Files

Readwiseisapowerfultool,butitsfullpotentialisunlockedforuserswhoextensivelyannotateacrossmultipleplatforms.MyprimaryusecasewasimportingebookhighlightsandnotesintoObsidian.WhileIalsoannotatewebpages,theObsidianWebClipper,coupledwiththeOrionbrowser(all

Jan 14, 2025 am 08:22 AM

Docker Hands-on: Learn Dockerfile, Container, Port Forwarding with Sample Flask Project

ThistutorialdemonstratesbuildinganddeployingasimpleFlaskapplicationusingDocker.We'llcovercreatingaDockerfile,buildingtheimage,runningacontainer,andevenpushingtheimagetoDockerHub.ForthoseunfamiliarwithDockerfundamentals,checkoutthispreviouspost:Docker

Jan 14, 2025 am 07:36 AM

Must-Know Python Open Source Projects for 5

Thisyear'stopPythonopen-sourceprojectsofferincredibleopportunitiesfordevelopersofalllevels.Whetheryou'refocusedonAI,webdevelopment,orcommand-lineenhancements,theseprojectswillboostyourskillsandstreamlineyourworkflow.FastAPI:RapidAPIDevelopmentFastAPI

Jan 14, 2025 am 07:24 AM

Fine-Tuning Large Language Models (LLMs) with .NET Core, Python, and Azure

Table of Contents Introduction Why fine-tune large language models? Solution Overview Environment Setup Train and fine-tune using Python Integrate fine-tuned model in .NET Core Deploy to Azure Best Practices Conclusion Introduction Large Language Models (LLMs) have received widespread attention for their ability to understand and generate human-like text. However, many organizations have unique, domain-specific data sets and vocabularies that may not be fully captured by generic models. Fine-tuning enables developers to adapt these large models to specific environments or industries, thereby increasing accuracy and relevance. This article explores how to fine-tune an LLM using Python, and then integrate and deploy the resulting model into a .NETCoreC# application,

Jan 14, 2025 am 07:11 AM

Understanding Lists in Python

Detailed explanation of Python lists In Python, lists are a widely used and commonly used data structure. They are ordered sequences capable of storing elements of different data types, including integers, floating point numbers, strings, and even other lists. This flexibility, coupled with its intuitive structure, makes it a cornerstone of Python programming. Key attribute definitions and syntax for lists Lists are defined using square brackets [] and elements are separated by commas. Example: my_list=[1,2,3,4,5] A heterogeneous element list can store elements of different data types. Example: mixed_list=[42,"hello",3.14,True] Indexing and slicing lists support indexing (accessing specific elements

Jan 13, 2025 pm 10:46 PM