Is Python a Hard Class?

The difficulty of learning Python, as in any endeavor, depends on numerous factors—from the type of Python training you need to your industry, how you plan to use Python, and your existing skill set. However, learning Python is achievable if you are dedicated.

Fortunately, Python is also among the easiest programming languages to learn. It is an object-oriented language (OOP). Object-oriented programming uses objects (data) rather than functions (logic). Beginner-level or beginner-friendly bootcamps and certificate programs often start with an introduction to object-oriented programming, setting a foundation for all subsequent lessons.

Read on to learn more about the advantages and challenges of learning Python and how you can benefit from choosing the right type of training. 

What is Hard about Learning Python?

The most challenging aspect of learning Python is that it is a programming language. In other words, for a person with no coding experience whatsoever, the first programming language is always the hardest.

However, this does not imply that Python is a comparatively challenging language. On the contrary, many tech professionals consider Python one of the least difficult languages to master—especially if the learner already knows another programming language. Those new to Python can learn faster if they begin with object-oriented programming fundamentals.

While considered relatively easy, Python is a high-level programming language. Learning the basics takes little time, but understanding how to create applications, analyze data, or automate tasks with Python can take much longer.

To better understand the complexity, versatility, and ease of using Python, consider a few things this object-oriented language can do:

Data Science - Data science extends to numerous industries, and using Python to understand data is paramount. Python libraries like NumPy and Matplotlib help Data Scientists and other professionals use visualization to gain insights into data. Additional top Python libraries include TensorFlow, SciPy, Pandas, and Scikit-learn.

AI & Machine Learning (ML) - Machine Learning Engineers and Architects with artificial intelligence expertise 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 well-known 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 you can find 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.

Roadblocks for Python beginners include a lack of previous experience, below-average problem-solving skills, or a work schedule that prevents them from sufficient studying. However, with an intensive program like a bootcamp or certificate, those new to Python can get an easy-to-understand introduction and hands-on experience together. These programs often have no prerequisites, which helps beginner-level students learn at a pace that works for them.

Read on to learn more about some of the tools available for learning Python and how to make learning this essential programming language easier.

How Can I Make Learning Python Easier?

The easiest way to learn Python is to combine theoretical knowledge with practical, hands-on experience. That's one reason the bootcamp training model is so successful: students learn in real-time with a class of peers led by an expert instructor.

Of course, different learners have different needs, and Python bootcamps are one among several options. Consider the advantages and potential pitfalls of the following training methods.

Free Resources

Free online resources often serve as the first stop for Python beginners. Online videos and articles are a popular way to get oriented to learning about the many Python programming applications. For example, here in the Learn Hub, you can find articles about Python for data science and development. The Hub also features many recorded video tutorials on topics like strings, tuples, and data types, to name a few.

Although these resources are excellent sources of information, developing a professional-level Python skill set isn’t free. Tech professionals who plan to work as Data Scientists, Data Analysts, or Python Developers need formal training. A bootcamp or certificate program that features Python or includes it within a broader data science or development curriculum provides the best value for your training dollar.

On-Demand Classes

On-demand learning, sometimes called asynchronous learning, is another training option. This type of training usually consists of pre-recorded videos, though some courses include additional supplementary materials. You can categorize some of the resources on the Noble Desktop Learn Hub and YouTube channel as on-demand, such as the free video seminars.

Although some people swear by them, others rate on-demand courses poorly by contrast with in-person or virtual live alternatives. However, it can be worthwhile to check them out if you think that on-demand training is for you.

On-demand training is a viable option if you have a non-traditional work schedule, like the second or third shift, or have family obligations that make live online training challenging. With on-demand videos, you can pause training whenever you need to, and many on-demand programs are less expensive than traditional in-person or live online programs.

The main drawback is that on-demand training has the lowest level of engagement among all training methods. Some students report feeling less motivated when learning from pre-recorded videos, and the lack of feedback from instructors or fellow students can be a downside. If you take this method to learn Python, consider choosing from among the highest-rated course providers, like Coursera, Udemy, LinkedIn, or Google.

Live Online Programs

While there’s no doubt that in-person training offers the highest possible level of engagement, online training has become an increasingly popular way to learn. Online education was once a niche market, but even before the COVID-19 pandemic, more and more students signed up for virtual courses. Online learning offers engagement comparable to in-person coursework, but you can train from the comfort of your office or home.

Many of the most popular Noble Desktop Python courses are available live online from anywhere with an internet connection. The Data Science Certificate, Python for Data Science Bootcamp, Python Machine Learning Bootcamp, Python Developer Certificate, and Intro to Python Programming are among the many options.

Consider in-person, live online, or either method when researching Python classes. Even if you prefer in-person training, you should remain open to the online live option. The reason is simple: adding virtual training to your list of potential courses will expand your choices exponentially. Some course providers offer in-person classes, others mostly live online, but many providers offer both alternatives. If you live in a large metropolitan area, you might have both options, but if not, a virtual course can bring world-class training into your home.

In-Person Training

Training in the traditional classroom setting offers unique advantages. Some students prefer this setting to other options. Learning Python in person provides the highest level of engagement possible. Participants can interact with the instructor and classmates, so many report feeling more connected to the material when they learn in a classroom. If in-person training has a disadvantage, commuting and finding parking or taking another means of transportation to attend class is it.

Learning online, however, has become a popular alternative. Online training offers engagement similar to the traditional classroom, and many providers offer a virtual option. Some host live online classes exclusively, whereas others provide in-person and live online training. Others host courses live online with the option to use their computer labs for students who live nearby. Another advantage to training online is that it increases the number of available options. Your city or town may offer little or no in-person classes in your chosen subject, but you can take live online classes from anywhere with an internet connection.

Best Ways to Learn Python Without Difficulty

Whether or not learning Python is difficult often depends on a student's chosen method. Though there are limited benefits to starting with a free video seminar or tutorial, any student planning to use Python beyond the basics must eventually enroll in paid training—in the traditional classroom setting or live online.

For most beginners, live training is the best choice. Students with no programming experience benefit from direct interaction with peers and expert instructors, whereas those with some computer science training can compare and contrast their previous experience within the confines of the classroom. Intermediate- or advanced-level training can also require working with a group or getting real-time feedback on a portfolio or capstone project. None of these options are possible when learning by pre-recorded videos, whether on-demand or hosted free online.

Of course, no training comes without its challenges. However, live training can make learning Python easier than other methods. Learning theoretical knowledge is only part of the equation, as students in live online or in-person courses must use new concepts in the classroom through hands-on exercises. Whether you come to Python with no coding experience or have mastered another programming language, consider in-person or virtual live training as the best means of learning Python with the least possible difficulty.