Python is now the most favored language among data professionals and widely used by them on a day to day basis with three out of four recommending aspiring data scientists to learn Python first.
PYTHON – Features
- No compilation: Python is an interpreted language, there is no need to compile it.
- Versatility: The versatility of Python (including its easy readability and code friendly syntax) allows developers to perform multiple activities at one time combined with an abundance of libraries and frameworks that facilitate coding and save significant development time. Python excels in all its roles right from being the most favored scripting language to automating stuff to web development and so much more.
- Ease of learning: Even if you are a new Python user, chances are you can pretty much find the codes quite easily by just googling it. That simple!
- Strong Developer community: Python is a feature in almost all articles in the same context, creditable to its high versatility and developer community, unlike any other languages.
- Fast / Quick execution: Python, has come up with a set of tools that lets anyone speed Python application performance right out of the box, usually with no code changes required. It helps accelerate Python execution performance. However, you can boost the speed of Python by using third-party compilers such as PyPI and other external libraries as well.
- Huge Third-party packages: One of the biggest attractions of Python is the huge no. of packages it can support and make up an essential part of every data scientist’s toolkit.
- The most popular language for Machine Learning: Python is the most popular language for Machine Learning today. There are over 145,000 custom-built software packages, many of which use ‘machine learning’ to crunch patterns in big data. Enroll in a Machine Learning course to learn the best combination of theory and practical aspects of Machine Learning with Python.
- A lot of jobs: Python and “R” are also among the most frequently mentioned skills in job postings for data science positions.
Industry Use Cases
Big companies like Google, Amazon for its Product recommendations, Netflix, LinkedIn, Facebook heavily rely on Python for their programming, web development, IOT or data analysis needs.
According to the latest research and study, Python is now becoming “increasingly ubiquitous” and a top choice at universities for all subjects that require programming, as well as in industry. Its easy learning curve, easy installation, and deployment.
Python has been hailed as the top career skill of 2020.
“Through machine learning (ML) skills, which include data science skills like R/Python, data modelling and validation techniques, expertise in statistics and probability, and implementation of machine learning libraries and algorithms “ by Economic Times.
#Pro Tip: If you are entering the data science field, learning the nuances of Python programming language will land you more lucrative jobs in the current job landscape.
Check out our, Machine Learning With Python. Data Brio Academy has been named among the Best Data Science Institute in the country in 2018.
REFERENCES:
- The six best programming languages to learn right now
- Machine Learning Course with Python Certification
- The top and relevant career skills you must learn in 2020
