Python is a popular, general-purpose, high-level back-end programming language. It’s known for its simplicity and readability, making it an ideal choice for both beginners and experienced developers. Python allows for rapid prototyping and development, which is crucial for startups that need to bring their ideas to market quickly. Its versatility and wide range of libraries and frameworks enable developers to build applications efficiently. Startups value Python because it supports a variety of programming paradigms, including procedural, object-oriented, and functional programming. This flexibility allows teams to choose the best approach for their projects. Additionally, Python is widely used in data-driven businesses for incorporating data analysis and statistical methods into their workflows. Its powerful libraries, such as Pandas, NumPy, and Scikit-learn, make it a go-to language for data science and machine learning tasks.

One of its distinguishing features is its efficiency. Every programming language must balance the programmer’s time with the machine’s resources. It favors the former, with a guiding principle that boils down to “there should be one—and preferably only one—obvious way to do something.” That can result in a learning curve as Engineers learn the ins and outs of its syntax, but the advantage is that Engineers can accomplish more with fewer lines of code than with lower-level implementation languages such as Java or C++. This efficiency is especially beneficial for startups that need to quickly prototype applications and get them to market. It is also well-known for its code readability, which means that a program created from it is more likely to be understandable to engineers who will have to maintain it months or years later.

Along with R and Java, it is one of the most used languages for data science and statistics. For data scientists, it blends Java’s capacity to construct high-traffic web apps with R’s emphasis on performing sophisticated statistical computations. Another of its most valuable assets is its huge collection of libraries. These libraries can help engineers do sophisticated machine learning or statistical analysis tasks without having to rewrite a large amount of code. Some of the most popular libraries include data manipulation and visualization tools (NumPy, SciPy, and matplotlib), as well as data mining and natural language processing (Pattern, NLTK). Perhaps unsurprisingly, it is the language of choice for organizations with data-heavy operations, from YouTube to the New York Stock Exchange and the National Web.

It follows an object-oriented approach. It is cross-platform, meaning it works on Linux, Windows, Mac, and most other operating systems. Its standard library supports HTML and XML. JSON. Email processing. HTTP Server libraries make server development simple, and they handle FTP, IMAP, and other Internet protocols. It’s free and backed by a vibrant open-source community. It is frequently used as an alternative to PHP in the LAMP software stack.

Click the “Hire Developers” button and let us know what you need for your project. We’ll set up a 30-minute Zoom call to understand your hiring expectations. Then, we’ll introduce you to our pre-vetted, Silicon Valley-grade candidates ready to work as remote Engineers. You’ll then have the chance to select candidates for one-on-one interviews. Choose your ideal Silicon Valley-quality dedicated software Developer or dedicated back-end development team and start working with them, possibly on the same day. We align them with tasks from your current or upcoming projects for a 2-week trial period. Enjoy a two-week trial to directly assess the developer’s fit with your needs. With a 92% success rate, if you’re satisfied after the trial, you can officially bring them on board. If not, there’s no cost to you, ensuring our commitment to a risk-free process. Our 2-week money-back guarantee means after choosing a Developer and before the trial, we sign an agreement and collect a 25% advance on the first month’s salary. If you decide not to proceed post-trial, we refund the 25% immediately. If you recruit them, the remaining 75% is due, officially starting your contract. The trial period itself is free. This streamlined, risk-free hiring strategy is designed to meet your specific needs, ensuring quality and satisfaction when hiring top-tier Developers.

Our company provides only top-tier dedicated programmers with Silicon Valley-level expertise in Brazil. Every Developer has at least 2 years of development experience. We offer only full-time Engineers across over 60 countries. The minimum contract period is 6 months. Since we assume all recruitment liabilities, we ensure job security for our programmers for at least 6 months. Therefore, we do not provide part-time or freelance Developers.

Our unique vetting process starts by collecting resumes from candidates worldwide who want to work as remote Engineers. Next, we invite them to take top-notch online coding and personality tests. If they pass these tests, we schedule one-on-one online interviews with recruitment specialists at our company. Based on these interviews, we select the best candidates for remote developer roles. When clients request resumes to hire Python developers or a dedicated back-end Developers’ team, we provide profiles of candidates who have successfully gone through our vetting process. This approach helps us find and hire the top 1% of dedicated Python Engineers and build dedicated back-end development teams from around the world for our elite pool of dedicated Software Engineers.

Yes, our company allows clients to specify their desired skill sets or expertise when hiring dedicated programmers and development teams. During the consultation process, clients can discuss their project requirements and preferences with our industry experts, who will then match them with Engineers who possess the relevant skills and experience. Because of that, we can help you find the right talent for your project.