What to Learn After Python

Python is one of the fastest-growing and most popular skills in fields like data science, machine learning (ML), and cybersecurity. If you already know how to use Python, you might also consider studying web development or machine learning, depending on how you plan to use your Python expertise.

We’ll cover machine learning and web development below, so you have a clear understanding of what skill you want to tackle next.

What is Python?

Python is one of the fastest-growing programming languages on the planet. Data Scientists, Web Developers, and other tech professionals use Python for a range of tasks—from building websites to data analysis, automation, and machine learning. Like Java and Ruby, Python is mainly an object-oriented programming language (OOP), which means it organizes around data (objects) instead of functions or logic.

Thanks to its straightforward syntax, adaptability, and the urgent need for Python skills in today’s job market, this essential language ranks as the number one choice for those learning to code. The U.S. Bureau of Labor Statistics predicts the average growth rate for Web Developers will be 13% between 2020 and 2030, and many of these positions demand Python. Other fields requiring Python include cybersecurity, software engineering, and business analysis.

Read more about what Python is and why you should learn it.

What Can You Do with Python?

Python is a versatile language with a host of applications, but the most well-known include:

• Data Science—Data science extends to numerous industries, and using Python to understand data is paramount. Python libraries like NumPy and Matplotlib enable Data Scientists and other professionals to use visualization to gain insights into data. Additional top Python libraries include TensorFlow, SciPy, Pandas, and scikit-learn.
• Artificial Intelligence (AI) & Machine Learning (ML)—Machine Learning Engineers and Architects use Python to build models. At the same time, AI Engineers and Architects may need this essential programming language for everything from assessing AI solutions to advanced automation.
• Web Development—The use of Python in web development goes back to its beginnings. Frameworks like Django and Flask have famously provided web development for household name companies like Instagram, Dropbox, and Pinterest. Tech pros, including Developers, report that Python is easy to integrate with other languages like C/C++ and Java. Other top frameworks include Bottle, CherryPy, and Dash.
• Game Development—Frameworks for game development include Pygame, PyKyra, and Panda3D, but there are numerous others. Python continues to support the gaming industry in meaningful ways.
• Enterprise Applications—Enterprise-grade apps built with Python include leading technology stacks like Netflix, Microsoft, and Spotify.

Web Development Basics

Many students come to Python training with no computer programming experience. While it can be easy to learn for beginners, other Python novices have some coding experience, like HTML and CSS. You'll need many other essential skills if you’re planning to use Python in a web development or software development career.

Web development basics include HTML, CSS, JavaScript, Java, or the C languages (C, C++, C#). Some web dev positions require a few of these skills, so you want a good idea of what you’ll need to know before enrolling in another course.

Noble Desktop offers numerous training options for web development. If you want to get Python training as part of a broader curriculum, consider their Software Engineering Certificate. You’ll learn Python with Django and a portfolio-centered set of web development skills. Other options include a JavaScript Development Certificate, Front-end Development Certificate, or Full Stack Development Certificate.

Machine Learning (ML)

Depending on the course you take to learn Python, it might cover ML basics or little about this fast-growing field. Are you planning to become a Data Scientist, Machine Learning Engineer, or Business Intelligence Developer? You can use Python libraries for ML, but that’s just the beginning. If you have a strong background in statistics and probability, or calculus, it will serve you well; if not, it can pay dividends to build those skills before diving into machine learning.

Noble Desktop offers a Python Machine Learning Bootcamp, which allows you to combine both disciplines in one immersive program. This alternative allows you to learn Python and ML applications without having to take a separate course.

More Python

Chances are good that you’ve learned more than basic Python before you move on. For example, if you take a course like Noble’s Python for Data Science Bootcamp, you’ll know NumPy, Pandas, Matplotlib, and scikit-learn. But Python, however simple its basics, can become a lifetime endeavor. Why not keep going—particularly if you plan to be a Python Developer?

Key Insights

• Python is one of the fastest-growing and most popular skills in the tech world.
• Top positions typically requiring Python include:
• Cybersecurity Analyst
• Data Analyst
• Data Scientist
• Financial Analyst
• Machine Learning Engineer
• Software Engineer
• Web Developer
• Additional skills for Python students include web development and machine learning.

Learn Python with Hands-on Training at Noble Desktop

Noble Desktop offers multiple ways to learn Python, both in-person and online through teleconferencing. They provide Python training as an essential component of areas like data science and analytics, FinTech, cybersecurity, and web development. Their Python Programming Bootcamp offers hands-on Python training in an immersive environment. Beginners learn Python fundamentals in this 30-hour bootcamp, where participants develop project-based coding portfolios. Graduates receive a verified Certificate of Completion and can retake the course for up to a year at no additional charge.

Students can save by taking the Python Programming Bootcamp as part of Noble’s Python Developer Certificate program. The curriculum for this certificate includes a 60-hour unit on Python Web Development with Django. In this intensive course, you’ll learn about URL dispatchers and automation, along with GitHub and SQL. Attendees should have some experience with HTML and CSS before enrolling.

Additional courses featuring Python include Noble Desktop’s Python for Data Science Bootcamp, FinTech Bootcamp, and Data Science Certificate program. Students planning careers in data science, data analytics, cybersecurity, or financial analysis should consider enrolling in one of these programs to get comprehensive Python training.