How Difficult is it to Learn Python?

Are you curious about learning Python but worried it might be too hard? Of course, the difficulty that comes with learning a new skill is somewhat subjective. The challenges of learning Python depend on factors like a lack of previous coding experience, how effective your learning environment is, and the amount of time you have to dedicate to the learning process.

No matter your current schedule or comfort level with Python, plenty of tools are available to help make learning easier than you might think. Read on to find out how easy learning Python can be.

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.

What Are the Most Challenging Parts of Learning Python?

Python sits atop many online lists as the easiest programming language to learn. Thanks to its easy syntax and vast support community, Python has proven to be one of the best “starter” languages for novice programmers.

Like anything else, though, it can be challenging to learn something new. The following list provides examples of what some users find difficult in learning Python and how to overcome them.

• Understanding object-oriented programming - Python is an object-oriented programming language (OOP), which means it organizes around data (objects) instead of functions. Once you get a handle on this concept, you’ll be better able to define classes in Python. Find out more about Python.

• Determining how to apply knowledge - Unless you have a targeted goal in mind, you might not know what to do with Python. Fortunately, Python makes coding easy, and once you get training, you’ll most likely have quite a few creative ideas on what you want to do with it.

• Recognizing the need to solve problems - Solving problems is really what Python is all about. Start solving problems with Python, and your skill set will grow.

How Does Learning Python Compare to Other Languages?

As a primary component of data science, web development, and cybersecurity, Python is both necessary and easy to learn. While many programming novices begin with Java or R, even more learn Python before any other programming languages.

Python is an open-source language, which means you can use its libraries and frameworks for free. However, to get started at a level that can get you hired, consider a bootcamp or certificate program. These courses offer immersive training in a concentrated timeframe. You can learn Python as easily as JavaScript or HTML and CSS in a Python bootcamp or as part of a broader data science or web development curriculum.

Make It Easy

Some people get Python training through in-person classes, while others prefer live online bootcamps or certificate programs. To make the process easier, consider which options work best for your needs.

• In-person training offers advantages like:
• Greater engagement
• Trainer-provided equipment
• Ability to network in person with instructors or peers
• Live online courses require no commute, which means learning from the comfort of your home or office.
• In-person and live online training hold advantages over free or on-demand coursework, like student accountability and engagement.
• Strategies for success include:
• Have a plan and stick with it
• Network with instructors or peers
• Take time for self-care

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.