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Why Python is the Programming Language to Learn

Python is arguably today’s most popular and fastest-growing programming language. Boasting a 27% year over year growth rate, Python has quickly become the preferred language of programmers, serving trending applications such as machine learning and data science.

Why is Python so high in demand compared to other languages? Unlike C++ or Java, there’s less complex syntax to navigate or compiling issues to resolve. Python uses English keywords, and as a result is simple, readable, and maintainable. It’s easily integrated with other programming languages, and supports functional and structure programming, as well as Object Oriented Programing (OOP). Not to mention there is a thriving ecosystem: open source libraries, frameworks and expert community make any problem a temporary one.

Also working in Python’s favor is the versatility of the language. Sometimes dubbed the “Swiss-Army Knife” of programming, Python isn’t tied to just one discipline, but can support many, including data analysis, web applications, gaming and automation. Many of today’s major tech platforms are powered by Python: Instagram, YouTube, Dropbox, Spotify, Reddit, Pinterest and Instacart, to name a few. Netflix’s ability to predict what content a user is interested in is based on Python. 21% of Facebook’s infrastructure is Python. Some of the very earliest Google engineers are quoted as having the motto, “Python where we can, C++ where we must.” 

Given today’s exponentially increasing trend toward smart devices, connectivity and artificial intelligence, the need for Python experts is also exploding. In 2018, LinkedIn reported a shortage of more than 150,000 professionals in the areas of data science, software development and machine learning. Today, demand continues to outweigh the supply, resulting in Python developers becoming one of the highest paid technology jobs available. Additionally, for entrepreneurs and others seeking to learn programming, Python remains the optimal skill to obtain. With a simple, easy-to-understand structure and broad applications, it is considered the best and most versatile beginner language.

Becoming proficient in Python is enabling many professionals to further develop their careers — or launch them. Recognized as one of the most essential languages to master, and with the added benefit of compatibility with existing languages, Python is the skill every programmer or analyst shouldn’t hesitate to add to their resume. 

If you’re interested in mastering Python, check out eCornell’s Python Programming certificate program, which teaches the core principles of Python and how to apply them.

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Master Data Science Programming in R with New Certificate Program

In a world run by data, the demand for this skill has never been higher. Data analytics is essential to almost every facet of decision-making across any organization. Glassdoor recently named it the #1 job in America, and in the top 3 must-have skills. Cornell’s new certificate program, Data Analytics in R, is designed to help take a fundamental understanding of analytics to a mastery of programming in R.

Ideal for any professional looking to scale their skills and knowledge, this program will teach techniques for understanding, modeling and visualizing data using R, including predictive and prescriptive analytics, machine learning, the Monte Carlo simulation and optimization methods for making both small and large scale decisions.

“The world has really progressed when it comes to data analytics. Today it is being used across all organizations and verticals, be it financial services or consumer goods or travel, to enable informed decisions on a daily basis,” said Chris Anderson, faculty author and Professor at the School of Hotel Administration within Cornell’s SC Johnson College of Business. “We’re now at a place where these are critical skills for people who want to set themselves apart.”

The program consists of three three-week courses:

  • Predictive Analytics in R
  • Clustering, Classification, and Machine Learning in R
  • Prescriptive Analytics in R

Upon completion, participants will receive a Data Analytics in R certificate from Cornell University. Learn more about this program by visiting the eCornell website.