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Python

Building a REST API with AWS Gateway and Python

AWS Gateway is a powerful tool for building APIs that scale to meet the demands of modern web and mobile applications. With AWS Gateway, you can create RESTful APIs that expose your data and business logic to developers who can then build rich, interactive applications that consume your API. REST API is an industry standard for building scalable, distributed web applications. With AWS Gateway, you can easily build a REST API that supports both GET and POST methods, as well as complex query parameters.

Top 6 Python ETL Tools for 2023

Extract, transform, load (ETL) is a critical component of data warehousing, as it enables efficient data transfer between systems. In the current scenario, Python is considered the most popular language for ETL. There are numerous Python-based ETL tools available in the market, which can be used to define data warehouse workflows. However, choosing the right ETL tool or your needs can be a daunting task.

Selenium with Python Tutorial: Getting started with Test Automation

Developers prioritize implementing changes rapidly in an agile environment. When updating a front-end component, they must perform cross-browser testing. Web apps’ technological and functional capabilities have continuously increased over the years. Automated testing is necessary to ensure that these functionalities and the UI are functioning properly. Python is ranked third among programming languages in the Stack Overflow Developer Survey of 2021, after JavaScript and HTML/CSS.

Top 5 Python REST API Frameworks

Python is an extremely popular programming language for building RESTful APIs. Choosing the right framework to create your APIs with is a crucial factor in the initial build phases. In this post, we will explore 5 of the most popular REST API frameworks for building web APIs with Python. These frameworks all leverage Python but have varying levels of complexity and customization. First, let’s dig into some key factors in deciding which framework to begin building with.

Using Loadero Python Client To Store Test Data In GitHub

Loadero API allows managing and running tests just as one would via the Loadero web application. However, sending an HTTP request every time a test needs to be created, updated, or run can become cumbersome. We already had a Java client, which makes the processes easier, and now Loadero team has been hard at work creating a new client and we are proud to present – Loadero-Python.

Top 14 Python Frameworks in 2022

Python is one of the most popular programming languages in the world today. Its open-source code, powerful development libraries and object-oriented programming style render it an ever favorable option for developers. Not only its immaculate build but the relevant ease with which it can be learned by even beginners make it an indomitable programming language at present. Web development, building software, data analysis and visualization are some of the routine tasks generally operated in python.

PyCharm vs. VS Code: A Detailed Comparison for Choosing the Best Python IDE

One of the most widely used programming languages in the world is Python. It is also considered to be incredibly easy to learn. It follows that it is not strange that many individuals start their programming careers with Python. Python is incredibly adaptable, user-friendly, and has a simple syntax. Its community has created several libraries and frameworks to support it. On the other hand, choosing an integrated development environment (IDE) or editor can be difficult for beginners.

Using Snowpark For Python And XGBoost To Run 200 Forecasts In 10 Minutes

Snowpark for Python, now generally available, empowers the growing Python community of data scientists, data engineers, and developers to build secure and scalable data pipelines and machine learning (ML) workflows directly within Snowflake—taking advantage of Snowflake’s performance, elasticity, and security benefits, which are critical for production workloads. Using user-defined table functions (UDTFs) and the new Snowpark-optimized warehouse with higher memory, users can run large-scale model training workloads using popular open-source libraries available through Anaconda integration.