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Python Pyvips

Pyvips is a fast image-processing library for Python.

Nanoid: A Python Package for Generating Unique IDs

Nanoid: A Python Package for Generating Unique IDs

Nanoid is a Python package that generates unique IDs. It is a fast, secure, and URL-friendly way to create unique identifiers. In software development, it is often necessary to generate unique identifiers. These identifiers can be used for various purposes, such as tracking user sessions, generating session tokens, and creating […]

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The Future of Last-Mile Delivery: Trends to Watch in 2023 and Beyond

The Future of Last-Mile Delivery: Trends to Watch in 2023 and Beyond

The last mile is the final leg of the journey for a product, from the fulfillment center to the customer’s door. It is often the most expensive, time-consuming, and critical part of the supply chain. The last mile has become increasingly complex and challenging in recent years as businesses have […]

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Fast food future? Las Vegas Taco Bell dumps dine-in

Fast food future? Las Vegas Taco Bell dumps dine-in

A new Taco Bell restaurant in the Las Vegas valley is changing the fast food industry with its innovative approach to the drive-thru. The location opened about a month ago and is a “grab and go” site with two drive-thru lanes, one of which is exclusively for delivery drivers. Unlike […]

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Exploring AWS Timestream for Time-Series Data Management

Exploring AWS Timestream for Time-Series Data Management

Amazon Timestream is a fast, scalable, serverless time series database service for IoT and operational applications. Timestream makes it easy to store and analyze trillions of events per day up to 1,000 times faster and at as little as 1/10th the cost of relational databases. It saves you time and […]

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PYCHARM ‘da PIP ve PIPENV Konfigüre etmek

PYCHARM ‘da PIP ve PIPENV Konfigüre etmek

Öncelikle Python yüklü mü diye bakıyoruz 🙂 python —version Pip ‘ı kontrol ediyoruz pip —version Homebrew ile pipenv’ i k”uracağız. brew install pipenv Pycharm’ a giriyoruz. PyCharm > preferences > project > project interpreter  bölümüne geliyoruz Project interpreter combosuna basıyoruz.  SHOW ALL Sonrasında + işaretine basarak PIPENV seçiyoruz.  Kullanılan ortam […]

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