MUGOYA DIHFAHSIH

  A Python developer? If you think Python is a  good programming language to learn  to get a job, you are correct. Python is one of the most popular and marketable programming languages in the world. There are many Python skills to learn to become a sought-after developer. Python is the preferred language for new technologies if you want a high paying job in  machine  learning and data science,  learn Python . Do you want to know what skills you need in order to become a  Python  developer? In this article, you will find the necessary skills to become a top Python developer. How much Python do I need to know to land a job? To land a Python  job , you have to be able to convince a company that you have the skills to do the job. You need a combination of Python technical skills such as a core understanding of the language and at least one development framework. You also need some valuable soft skills such as communication. If you are acting weird during the job interview, no amount of te

A realistic roadmap to becoming a Python developer This is a highly opinionated, pseudo-motivational, unconventional and almost rant-like developer roadmap article. This article is more than a compilation of best books/videos/courses to learn Python and covers the bigger issues that a beginner/early-intermediate faces on their journey. These are the undocumented problems Stack Overflow does not solve. Why Python ? Why should you learn Python anyway? Why not one of the 20 other languages trending right now? As you’re beginning your journey, this questions crops up multiple times (a day). Picking your first programming language is a lot like picking a starter pokemon. The inherent capabilities of a language are less significant than the skill of the programmer in using said language and their grit to make it into the big league. If you want to start with a different language, do yourself a favor and stop reading this article. You’ll hav

  Development: 5 Myths and Realities Artificial intelligence offers real value, but recognizing its limitations is critical for actually capitalizing on that value. Artificial intelligence, or AI, is one of the  most intriguing topics  in software development today. It is also one of the most widely misunderstood.  For software developers and IT teams, AI offers an array of tantalizing possibilities for making applications faster, more scalable and more efficient. However, in many cases, the hype surrounding AI doesn’t line up with the reality of what is actually possible or practical. Toward that end, here’s a look at five common AI myths related to software development and deployment.   1. Artificial inteligence is a new technology. AI has gained major attention from the media in just the last few years. Likewise, most software produ cts that pitch AI as a key feature (like  AIOps-driven monitoring tools ) are still very new.  But