Optimizing Python for high-load services can achieve performance comparable to Go, as shown in a project handling 100,000 requests per second. Using tools like Granian and strategies such as caching and load testing, Python maintained scalability and cost efficiency, allowing the client to stay within their existing stack while avoiding more expensive languages like Go or Rust.
Python excels in rapid prototyping, data analysis, and ease of use, while Go offers speed, scalability, and performance for high-load systems. Python dominates in popularity and demand, but Go's efficiency makes it ideal for microservices and heavy-load projects. Choose based on project needs: Python for flexibility, Go for performance and concurrency.
Choosing the right programming language is key to building successful e-commerce websites, balancing factors like scalability, security, ease of use, and performance. Popular choices include JavaScript for dynamic UIs, Python for backend flexibility, PHP for cost-effective solutions, Ruby for startups, and Java for robust scalability. Languages like C# and Go excel in high-security and modern infrastructure needs. Tailoring the choice to project size, budget, team expertise, and future goals ensures a secure, efficient, and scalable platform.
Hiring remote Python developers offers flexibility, cost savings, and access to skilled teams for diverse projects like AI, web apps, and big data. Python's ease of use, robust libraries, and high productivity make it ideal for commercial projects. Outsourcing to experts like Evrone ensures a streamlined process, quality results, and a dedicated team tailored to your needs, avoiding the high costs of in-house hiring.
Evrone developed a high-load data processing system for SberMarketing, capable of handling 100,000 requests per second. Designed in Python with Granian for speed, the service standardizes, enriches, and stores event data before transferring it to long-term storage. Testing showed Python+Granian matched Go's performance, and a Tarantool-based Data Lake ensured data reliability. The client now has a scalable, maintainable solution.
In our digital world, software engineers play a pivotal role in developing the tools that simplify our lives. Python has emerged as a leading programming language, renowned for its simplicity, versatility, and effectiveness. Used in various fields such as web development, AI, data analytics, and scientific computing, Python's clear syntax and extensive libraries make it a top choice. Evrone specializes in tailored Python solutions, catering to diverse project needs across different industries, ensuring efficiency and effectiveness in software development.
East Mining Company, a major coal producer, faced inefficiencies in route planning due to outdated software. Evrone was tasked with developing a new routing system to optimize truck movements in their vast open-pit mines. Over three months, Evrone built a user-friendly interface allowing operators to visualize truck movements, edit roads, and manage routes efficiently. Using open-source libraries, they developed a frontend with map editing capabilities and a backend for data processing. DevOps ensured seamless deployment. The result: a robust system enabling daily monitoring and optimization of road networks, saving time and resources for East Mining. Future plans include automation and integration with their IoT platform.
By default, the user model in Django framework includes an email, username, and password. But there are often situations where it is necessary to extend and replace the default user model. So our Python Teamlead wrote such a wrapper and open-sourced it.
Our DevRel, Grigory Petrov, prepared an interesting report, “Easy Python: Lies, Damned Lies, and Metaclasses”, about the Python language, its evolution, and its use. In April 2022, Grigory was supposed to go to a conference in Berlin to give a presentation on the report.
Pirelli & C is one of the world’s largest manufacturers of premium car tires. The company owns 24 factories in 13 countries, including two factories in Russia.