Startups planning a product development process need to consider many factors when it comes to picking the right programming language. Often working on a tight budget, startups must carefully consider: the speed of development, the popularity of language, the cost of developers, libraries, integrations, security, scalability, and stability. It is for these reasons that your best bet will be to go for a robust and established technology such as Python.
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What Is Python? When and Why Should I Use It in My Project? A Guide for Entrepreneurs
Michał Wasilewski
The Python programming language is one of the most popular technologies among developers, the second most loved and the first most wanted. Why? Because it fits modern software development perfectly. In this article, I'll tell you all you need to know about Python.
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How to choose the best technology for creating a CMS? We will help you decide which factors you should consider before making a decision and we will analyze if the Python programming language is a good option.
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Python Vs. Ruby for Web App Development – A Comparison of the Two Programming Languages (UPDATED)
John Waldron
Python and Ruby are two established and widely used programming languages for developing websites and web apps. Both technologies can be used to build and manage sites and applications of any complexity and functionality. YouTube and Google were both built using Python - pretty impressive, right? But some other awesome sites were built with Ruby such as Twitter, Groupon, GitHub and Hulu. In this article we help you decide what will be best for you.
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According to the Bureau of Labor Statistics, the projected employment of software developers is over 4 times bigger than that of other occupations. In the current talent shortage scenario, companies are doing their best to attract and retain software developers. What does this mean for you, the candidate?
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Building a fintech product is no easy task – but the reward is also significant. Successful fintech companies such as Revolut, Stripe or Coinbase, reach multi-billion-dollar valuations and enjoy global customer recognition. However, in order for your business to become the next fintech unicorn, you first need to build a modern, reliable, and fully featured application.
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Python is one of the hottest languages on the tech scene right now. Why? Well, it’s easy to learn, code in, and apply to different problems. No wonder that developers and businesses alike love it. At the same time, a technological breakthrough is changing the world of software and business – the ability to process huge amounts of data and glean useful insights from it. What do Python and big data have to do with each other? Well, the former happens to be the perfect tool to process the latter. How so? Read on to find out!
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Organizations that want to thrive on the current market need to ride the wave of digital transformation. Smart enterprises are now investing in enterprise application development services for boosting their financial operations, improving their employees’ productivity, and managing their resources with top efficiency in mind. When it comes to bespoke software development, Python is one of the top technologies in the field.
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Python has been growing rapidly in comparison to other programming languages. There are a few reasons behind it – it’s fast, secure, battle-tested by top tech players and, more importantly, it’s getting more and more attention in the data science world. At Netguru, one of our core values is innovation. We want to work with the most effective solutions that match our clients’ needs. That’s why we couldn’t ignore the power of Python.
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Python is one of the best and most popular programming languages on the technology market. Thanks to its power and versatility, it can be used for a range of applications – from simple scripts, to data analysis, to machine learning (ML). Which is why in 2018, we decided to include both Python and ML in our core tech stack at Netguru. During this intense year, we have grown our Python team to 11 experienced developers and built a number of applications using the language. Some examples include:
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