Gearing Up for EuroPython 2019: Python Trends & Applications
With just T-minus two weeks until the Transifex team heads to EuroPython 2019, it’s time to take a closer look at the key trends and applications of one of the key programming languages driving localization and translation forward. Python is a staple programming language that has gained popularity in the coding and development world in recent years, with the reason being more interesting and diverse use cases as time goes on.
From predictions of Python overtaking other programming languages to its use cases across key technological verticals like localization, machine learning, AI, and data science — here is a roundup of the most recent and game-changing trends in the Python world.
Currently, open-source language Python is a developer favorite, ranking third in usage and popularity just behind the classics of Java and C. This month, ZDNet reports that programming language index Tiobe saw a strong increase in Python’s ratings, leading them to predict that Python will “probably replace C and Java to become the most popular programming language in the world” — due to its strong growth in software engineering and overall usability.
Major technologies like Facebook are embracing open-source to develop robotics and AI that will expand their business ecosystem. Last week, Facebook announced its creation of PyRobot, “a framework for robotics research and benchmarking open source.” With PyRobot, developers can program robots with relatively few lines of Python code, which can then be applied to functions such as “planning, kinematics, and visual simultaneous localization and mapping.”
The Harnham’s US Data & Analytics Salary Guide 2019 was released last week and included some interesting findings for the programming world. According to Harnham, “data scientists are adopting specialized skillsets and programming languages to differentiate themselves in a growing field,” and “as the field of data science explodes, data professionals are increasingly using programming language Python to get work done, over other tools such as R and SQL.”
An interesting approach to SEO with machine learning from Search Engine Journal (SEJ) that can be applied both on the engineering and marketing levels of localization (think: international SEO). In this article, SEJ breaks down how to leverage Python to write a deep learning code that will automate optimal text for content writing, link building, and keyword utilization.
Dice answers the question: “What do developers actually use Python for?” A recent developer survey reveals that 49% of developers use Python for data analytics, 26% for web development, 42% for machine learning, and 37% for system administration. What does this mean for developers in the localization cycle? To stay up-to-date on best versions to use and keep tabs on this vital language as it takes over the data-analytics and programming world by storm.
Given the above evidence of the strong trending demand of Python as a programming language to have in any development arsenal, PC Tech takes a look at some of “the main areas where Python can be applied and why it makes a developer’s life so much easier.” From Data Science and Machine Learning (which we’ve seen above) to Software and Web Development, it’s clear that Python is a powerful must-have to help address localization and business needs.
Meet Transifex & Go Global at EuroPython 2019
The Transifex team is headed to Basel, Switzerland next month (July 8-14) for EuroPython 2019! Meet up with us to learn the well-kept secret that most successful global companies have for capturing new markets worldwide: localisation.
Visit us at Booth #44 to learn more about our chat continuous localisation workflows, pick up some fun swag, or just say hello! (And be sure to catch our lightning talk session during the conference — more details to come.)