Discovering Python: An Overview
Python programming language is widely used in fields such as data analytics, Machine Learning (ML), and web development. Python has gained significant popularity recently because of its simplicity, versatility, and efficiency. Python ranks third as the most popular programming language after JavaScript and HTML/CSS, according to Stack Overflow’s 2021 Developer Survey. Developers consider Python as the second most loved programming language.
Python Developer demand has increased rapidly over the years. With its wide range of applications, Python is a valuable skill for individuals looking to make a successful IT (Information Technology) and AI (Artificial Intelligence) career. In this blog, we will cover the best career options available for a professional skilled in Python, along with some of the top online Python programming certifications you can pursue to increase your chances of getting hired by top companies.
Real-World Application of Python Across Industries
As per GitGub Reports, Python’s usage continued to increase by a staggering 22.5% YoY (year-over-year) increase in 2022. Some sectors driving the increased usage of Python and thereby boosting the demand for Python professionals are mentioned below.
- IT and Technology: Python is widely used by tech giants like Google, Facebook, and Netflix to develop web applications, Machine Learning (ML) algorithms, and data analysis tools. As per reports by Statista, Python was the third most demanded programming language by IT recruiters worldwide.
- Banking, Financial Services, and Insurance (BFSI): Python is increasingly used in the BFSI (Banking, Financial Services, and Insurance) industry due to its data analysis and automation capabilities. Companies such as JPMorgan Chase and Bank of America use Python’s flexibility, powerful libraries, and ease of use for their finance professionals to analyze large datasets, build models, and automate repetitive tasks (such as bank reconciliations).
- Healthcare and Diagnostics: Python is used in the healthcare industry for tasks such as medical image processing, data analysis, and developing predictive models. Companies like Philips and Siemens use Python’s versatility and powerful libraries such as NumPy, Pandas, and Scikit-learn, making it a valuable tool for healthcare professionals to analyze large datasets and automate tasks.
- E-Commerce and Retail: Python is increasingly used in the e-commerce/retail sector. Giants like Amazon and Walmart use Python for data analysis, web scraping, and payment automation tasks. Python is the most commonly used language among e-commerce developers, as per a 2021 survey by JetBrains, with over 30% of respondents using it.
IT Professionals should constantly upgrade themselves in Python as it can lead to significant career growth and higher salaries. As is evident from above, Python is one of the most in-demand programming languages across various industries. Professionals should learn expand their knowledge by consuming educational content via trending Python blogs, podcasts and videos available on the net.
Top Python Programming Jobs with High-Paying Salaries in 2023
Python is necessary for professionals aspiring to work for high-paying jobs in both the technical/ non-technical fields. Below are some of the best job roles, along with their estimated salaries which a professional should aim for after completing online courses on Python.
1.Python Developer: Python Developers are professionals responsible for designing, developing, and maintaining applications using Python. Python Developers are in demand in various industries, including software, finance, healthcare, and e-commerce.
MNCs (Multi-National Corporations) like Google, Amazon, and Microsoft hire Python developers for their skills, versatility, supportive community, and accessibility, making them highly valuable to companies. Python Developers, on average, make annually around $102,400 in the United States, £59,000 in the United Kingdom and around ₹4,50,000 in India.
2.Software Engineer: Software Engineers design, develop, test, and maintain software applications. Software Engineers use their expertise in programming languages like Python to create efficient, reliable, and user-friendly programs.
They are hired in various industries, including technology, healthcare, and finance, for companies such as Amazon, Microsoft and Apple. A Software Engineer’s average annual salary is around $107,000 in the US, £50,000 in the UK and ₹8,00,000 in India.
3.Data Scientist: Data Scientists analyze, process, and identify deep insights/ trends from complex volumes of data to create strategic business plans and guide effective data-backed company decisions.
Data Scientists use Python to analyze and interpret complex data, build predictive models, and make data-driven decisions. Companies from all major industries, such as E-Commerce and Retail, Social Media and Entertainment, like Facebook, Apple, and Netflix, hire Data Scientists to facilitate effective data analysis.
Aspiring Data Scientists should always remain updated by reading the best data scientist blogs and consuming trending content (podcasts/ videos). A Data Scientist’s average annual salary is around $126,450 in the US, £50,000 in the UK and ₹12,00,000 in India.
4.Machine Learning (ML) Engineer: ML Engineers create programs/algorithms to allow machines to function independently without direct human assistance. Machine Learning Engineers use Python to build and deploy AI-based algorithms for industries catering to Entertainment, E-Commerce and Retail and the Internet of Things (IoT).
Companies like Amazon and Google hire machine learning engineers skilled in Python for their e-commerce and entertainment businesses, such as Prime Videos and YouTube, respectively. ML Engineers, on average, make annually around $132,600 in the United States, £54,000 in the United Kingdom and around ₹8,70,000 in India.
5.DevOps Engineer: DevOps Engineer combines Development and Operations (DevOps) to create a seamless software development pipeline ensuring that software can be developed, tested, and deployed quickly and efficiently. DevOps Engineers use Python to automate the deployment and management of software applications.
To become a DevOps Engineer, one typically needs a strong background in software development or IT operations and experience with automation tools.
DevOps Engineers work in industries such as technology and e-commerce for companies such as Google, Microsoft, and Amazon. DevOps Engineers, on average, make annually around $134,000 in the United States, £50,700 in the United Kingdom and around ₹7,00,000 in India.
(Note: Salaries mentioned here are for reference only. The data is dynamic and subject to change without any notice)
Python Programming Certification: Top Online Courses to Master Python in 2023
As Python is a hot topic amongst professionals, many online courses are available in this field. However, searching for the best online courses in Python can become overwhelming. Below are some of the best Python courses you can pursue to boost your career and earn rewarding compensation for your skills.
- Python for Data Analytics and Machine Learning Bootcamp: This course enables you to take your data science skills into various companies, helping them analyze data and make more informed business decisions. The course covers Basic and Advanced Python, Data Exploration, Data Visualization, Descriptive Analytics, and Predictive Analytics Techniques with the Python language.
- 3 Days Live Virtual Training on AI and Deep Learning with Python: The course covers predictive analytics techniques with Python. You will learn about various Python packages like Tensorflow and Keras. This course will deepen your understanding of algorithms like Artificial Neural Networks, Convolutional and Recurrent Neural Networks.
- 6 Hour Live Training on Supervised Machine Learning for Data Science For Beginners and Professionals: This course by Simpliv helps learn Machine Learning in a simplistic, detailed, and fun way via Live Classes and Post Course Interactions. By the end of the Workshop, you will have learned in-depth about Machine Learning and coded some machine learning projects to use in your portfolio.
- 2 Days Live Training on Statistics for Data Science & Machine Learning: This course is designed to get an in-depth knowledge of Statistics and Probability from a Data Science and Machine Learning point of view. By completing this course, we discuss every concept of Descriptive and Inferential Statistics and Probability.
Python 2023 and Beyond: A Final View
Python’s future looks promising. Emergen Research reports that the global python market size is projected to reach U.S. $100.6 Million in 2030 and register a revenue CAGR of 44.8%. In the job market, Python has consistently ranked among the most in-demand programming languages. Professionals interested in landing lucrative careers should enrolled and upskilled in Python.