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Python

Guide to Parallel Processing in Python

Parallel processing in computers is like having an efficient team working on different parts of a task simultaneously. In traditional programming, tasks are executed one after the other, like solving a puzzle piece by piece. However, parallel processing divides the task into smaller chunks, and these chunks are handled simultaneously by multiple processors or cores. Python provides modules that allow programs to leverage multiple processor cores efficiently.

40 Years of #Programming Wisdom: Navigating #Windows to #Python and Beyond! | Sanjay Vyas #coding

In this captivating video, join us on a remarkable journey through four decades of programming expertise. Sanjay Vyasr reflects on their career, starting from Windows programming, crafting GUI applications with meticulous detail, progressing through Java, Python, and JavaScript, and adapting to the latest frameworks and languages. Despite the ever-evolving tech landscape, the core essence of programming remains unchanged: solving customer problems efficiently.

Creating Python APIs

REST is an incredibly powerful solution for web APIs in the modern space. It offers a wide array of benefits that can help any service be more efficient, faster to iterate, and more stable. Python is a strong, high-level language that unlocks a high level of functionality across broad categories of systems and devices. It is human-readable, highly efficient, and widely adopted. These two technologies, when combined, can deliver an incredible product in the API space.

An Introduction to REST API with Python

REST API is an acronym that stands for Representational State Transfer Application Programming Interface. REST APIs are used to create "web services" in HTTP requests, which provide data between client and server applications. This article will cover some of the basics of REST APIs and will also walk you through making a basic API using Python. Here are the 5 key takeaways from the article.

How to Deploy a Python Flask app with Heroku

In this tutorial, we will build a simple Flask app that is primed and ready to deploy to Heroku. Once the bare bones of the app are built, we will guide you through the setup process on GitHub and Heroku so that you can start making automatic deploys in no time. But before we dive straight into the code, why choose Flask and Heroku in the first place?

How to Fix 'int' object is not subscriptable in Python

The error 'int' object is not subscriptable occurs when you attempt to use indexing or slicing on an integer, a data type which doesn’t support these operations. An integer in Python is a data type that represents a whole number. Unlike lists or dictionaries, integers do not hold a sequence of elements and therefore do not support indexing or slicing.

Snowflake To Acquire Ponder, Boosting Python Capabilities In the Data Cloud

Python’s popularity has more than doubled in the past decade¹ and it is quickly becoming the preferred language for development across machine learning, application development, pipelines, and more. One of our goals at Snowflake is to ensure we continue to deliver a best-in-class platform for Python developers.

How to Handle "IndexError: index out of range in self" in PyTorch

The popular deep learning and natural language processing framework PyTorch is renowned for being user-friendly and adaptable, so what’s the deal with the IndexError: index out of range in self error? This happens when a PyTorch embedding tensor attempts to access an index that is out of bounds. A lookup table that converts integers into vectors of real numbers is known as an embedding tensor.

Overcoming the Cold Start Challenge with Gunicorn Workers in Python in Django Applications

Performance metrics in computer science are typically based on time and space complexity. Time complexity deals with the application's execution time, while space complexity pertains to the memory it consumes during execution. For Django, performance relates to the speed at which a server processes user requests and returns results. The quicker the response, the better the user experience.