Can I Learn Python On My Own?

Many Python beginners wonder whether they should teach themselves this essential programming language. Though it is certainly possible, the answer is that it can also be quite challenging.

As one of the most popular programming languages worldwide, Python has a unique distinction: almost too much information about it is available online. This wealth of information can cause problems. Where should a student start? What type of class is best? Is Python better for development or data science?

Python beginners can only answer questions like these through research, but the research often leads to even more questions. By contrast, learning Python with a live instructor in a structured environment is the best option for virtually everyone. Read on to learn more about the potential advantages and pitfalls of the self-teaching approach.

Advantages of Self-Teaching Python

Every learning method has unique advantages and drawbacks, and Python is no exception. Some Python beginners prefer in-person or live online training, others look for videos, and others want a custom training program for a corporate team.

The main advantages of self-teaching Python are the pace of learning and the choice of materials. If you are in charge, you choose the schedule and type of training materials, whether these are articles, videos, or other online resources like forums or chat groups.

Python Self-Teaching Tools

Free online resources typically serve as the first stop for most Python novices. Python is free to use, and you can get support from the vast worldwide community. Python even offers a resource on its site for beginners, including a beginner’s guide and Frequently Asked Questions.

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 features many recorded video tutorials on topics like strings, tuples, and data types, to name a few.

The Noble Desktop YouTube channel also provides a comprehensive guide to start Python training. Here, you can search videos and links to other resources to help you understand different Python uses and how they apply to various fields.

On-demand learning, also known as asynchronous learning, is another training option. This type of training usually consists of pre-recorded videos, but some courses include additional supplementary materials. On-demand training may appeal if you have a non-traditional work schedule or family obligations that make it difficult to commit to live training.

However, consider the following potential pitfalls or drawbacks of self-teaching such a complex, multi-faceted programming language.

Drawbacks to Learning Python on Your Own

The sheer volume of books, videos, online forums, and other resources about Python could fill a library. Even a targeted search among the many resources can lead to confusion, frustration, and wasted time.

This massive quantity of resources can overwhelm even the most strategic and organized self-taught student. However, self-teaching has another drawback: coding Python requires practice, and going it alone can be a struggle if you run into roadblocks. Trying to get free assistance from strangers in forums or chat groups is often an exercise in futility.

On the other hand, a Python bootcamp provides information and experience within a strategic context. Combine these advantages with 1-on-1 mentoring, and you gain a solid foundation quickly, which you can then apply from the knowledge and skills you gain. Read on to learn more about Python bootcamps and certificate programs.

Alternatives to Learning Python on Your Own

Python training is the best alternative for most beginners, especially those who prefer a structured curriculum. The advantages of learning with a live instructor are numerous: a high engagement level, the opportunity to interact with both instructors and fellow students, and practical, hands-on experience.

While many students like to learn in a traditional in-person classroom setting, online training provides similar engagement, and you can take live online classes from anywhere with an internet connection. Consider the following categories of Python curricula.

Certificate Programs

Certificate programs are among the most popular Python training options. Although some tech roles require a college degree, many entry-level positions are open to graduates from these immersive programs. The idea is simple: take the essential elements of knowledge and experience a worker will need to do the job and present it in a time frame much shorter than the average degree program.

The urgent need for tech professionals with Python and related skills makes this a win-win situation for job applicants and organizations. Applicants secure good-paying positions even before earning a degree, and companies get well-trained workers who can always finish school later. Some will even be willing to reimburse an employee for tuition.

The following certificate programs feature Python or include it within a broader curriculum.

Software Engineering Certificate - Among its most comprehensive programs, the Software Engineering Certificate program from Noble Desktop runs around 510 hours. Participants complete the certificate in 20 weeks full-time and receive additional 1-on-1 mentoring.

Data Analytics Certificate - The Data Analytics Certificate from Noble Desktop takes approximately 156 hours. This intensive program also includes 1-on-1 mentoring sessions and covers Python in detail.

Data Science Certificate - Noble’s Data Science Certificate covers many of the same topics as its Data Analytics Certificate in 114 hours. Topics include SQL and Python for data science, machine learning, and automation.

Python Developer Certificate - The 90-hour Python Developer Certificate is appropriate for Python novices with some experience coding HTML and CSS. It combines two bootcamps, Python Programming and Python Web Development with Django.

Longer Bootcamps

FinTech Bootcamp - Python beginners who plan to work in data science, finance, or data analysis can train for entry-level roles through the Noble Desktop FinTech Bootcamp. The 114-hour program functions like a certificate, comprising multiple shorter bootcamps and six additional 1-on-1 mentoring sessions. Topics include Python for Data Science, Automation, and Machine Learning. Applicants can also choose an extra finance elective bootcamp. Check listings for more details.

Python Data Science & Machine Learning Bootcamp - Another beginner-friendly bootcamp that functions like a certificate program is the 96-hour Python Data Science & Machine Learning Bootcamp. This program combines the shorter Python for Data Science and Python Machine Learning Bootcamps (see below) with a Python Data Visualization module. The course also includes up to four 1-on-1 mentoring sessions. 

Python Web Development with Django - Are you familiar with Python programming but want to learn Django REST? Check out the Python Web Development with Django bootcamp. You’ll learn querying models, task automation, and back-end development using Django in 60 hours. Check course listings for more details, including prerequisite information.

Shorter Bootcamps

Many Noble Desktop certificate programs consist of multiple bootcamps and shorter modules. Consider choosing among these if you are a Python, data science, or machine learning novice:

Python for Data Science Bootcamp - The Python for Data Science Bootcamp covers Python fundamentals, dataframes, arrays, structuring programs, and data visualization in an intense 30-hour format. You can also save by taking this bootcamp as part of the Data Science Certificate, Data Analytics Certificate, or FinTech Bootcamp.

Python Machine Learning Bootcamp - Another immersive 30-hour course is the Python Machine Learning Bootcamp, covering regression analysis, classifications, and decision trees. Applicants should have experience comparable to that gained in the Python for Data Science Bootcamp. You can also save by taking this Python Machine Learning Bootcamp as part of Noble’s Data Science Certificate program.

Python Programming Bootcamp - One of Noble Desktop’s fundamental courses is the 30-hour Python Programming Bootcamp. If you’re a beginner, you can start here or save by taking the bootcamp as part of the Data Science Certificate, FinTech Bootcamp, or Python Developer Certificate program. Students receive an additional 1-on-1 training session outside the group class.

Python for Finance Bootcamp - The 18-hour Python for Finance Bootcamp may work best within the confines of the 114-hour FinTech Bootcamp curriculum. However, Noble Desktop offers Python for Finance separately if applicants are familiar with Python data science and financial concepts like IRR and NPV. Check listings for more detailed information.

Workshops/Seminars

Python in a Day - Many course providers, including Noble Desktop, offer 1-day or half-day Python workshops or seminars for corporate training. Among the many shorter offerings from Noble Desktop, the Python in a Day program gives organizations a time-saving, cost-effective method to introduce their teams to the popular object-oriented programming language. For more information, including a free consultation, contact Noble Desktop.

Programming languages like Python and JavaScript are versatile and multifaceted. Many Python novices start by self-teaching, at least when getting familiar with Python libraries and frameworks. Those new to programming may have a significant advantage in learning in a structured classroom with an expert instructor. Bootcamps and certificate programs typically provide lessons that build on previous units. Thus, a solid foundation can expand to an intermediate-level skill set in a few months or weeks.

In the fast-moving tech world, you can often find an entry-level position if you hold a certificate from a respected course provider like Noble Desktop. Whether starting your career or making a mid-career move, the bootcamp and certificate model is a timesaving, cost-effective way to learn Python and related skills and tools.