The Complete Guide to Python
Python is among the most popular programming languages, with an estimated nine-plus million users worldwide. Its popularity continues to grow, as there is an urgent need for Python skills in the 21st-century job market.
While not everyone selects Python as their first programming language, most experts agree it makes a good choice. Users who begin with other languages, like JavaScript or C, also find Python easy to learn. However, these are not the primary reasons for its universality.
A favorite among data science and software development professionals alike, Python promises to continue its rapid growth. Consider the following essentials about this popular language.
What is Python?
- OOP: Python is an object-oriented programming language or OOP. That means it organizes around data (objects) rather than functions or logic. Other examples of OOP languages include C++ and Java.
- Software & Web Development: Python is the preferred programming language among many software development professionals. These include Software Developers and Software Engineers, many of whom use Python for back-end applications. Most can easily integrate Python with comparable object-oriented programming languages like C/C++ and Java.
- Data Science, Analytics, and Machine Learning: Python is also the top choice for Data Scientists and Analysts. Many use Python-based tools to filter, analyze, and visualize data sets. They can also apply ML algorithms using the Scikit-learn library.
Why is Python Important?
- High-Level: Python is a high-level object-oriented computer programming language, which means programmers can use constructs that mimic natural human thought and language. Its extensive libraries allow users to focus on high-level problems while Python removes lower-level system interactions.
- Easy to Learn: Ease of use is among the most common attributes of the many benefits of using Python. Although some users come to Python already knowing other computer programming languages, it can be an easy first language for novices. Python’s simple, clean syntax makes it ideal for new users and just as easy for experienced programmers or developers.
- Adaptability: Python is both a high-level programming language and a general-purpose language. That means it has numerous applications among industries and positions within them. Search for online information about Python, and you'll find descriptives like versatile, flexible, or adaptable in virtually every article or video.
- Universality: Python is an open-source language that boasts a massive international support community. New users can download source code, documentation, and a beginner’s guide at Python.org for free. The Python community includes forums, Internet Relay Chat (IRC), and special interest groups dedicated to worldwide Python support and development.
Python Training Locations
Python Classes Onsite
There's a significant benefit to learning a new skill firsthand, such as through onsite training. It increases your chances of absorbing the material and gives you a firsthand account of what the work will be like in the real world. This is especially true while learning Python. Although it's considered a fairly beginner-friendly language, the help of an experienced instructor makes the entire process less daunting and more understandable. With onsite training, you can build skills, experience, and confidence -- that's a winning combination during a job search.
Python Classes NYC
185 Madison Avenue, 3rd Floor, NYC, New York, 10016
Learning Python in a place like New York City is a worthwhile endeavor, namely for the fact that it opens up a world of opportunity. Whether you're new to Python or already established in your career but want to diversify your skills, Python is a surefire way to catch the attention of hopeful employers. For instance, NYC is a global powerhouse for finance, business, and tech, so learning Python simply expands your possibilities even further. Noble Desktop is a leading training provider in NYC, offering several courses on Python or related subjects, like data science, data analytics, machine learning, and more. They'll come to your organization and provide corporate training, or you can opt for in-person or live online classes. With so many options, you'll be sure to find a Python training method that suits you.
Python Classes San Diego
3904 Groton Street, San Diego, CA, 92110
San Diego's coastal lifestyle blends well with the professional atmosphere, as some of the most prominent tech companies call the region home. Not to mention, San Diego has several naval bases that need top-performing Python experts to handle, manage, and analyze sensitive data. As such, Python Developers can find plentiful work in San Diego to perform tasks like data analytics or automation. On the other hand, some Python professionals may specialize in research and development. Whatever your goals, there's plenty of opportunity in San Diego if you have Python experience.
Python Classes Washington, D.C.
600 Maryland Avenue SW, Washington, D.C., 20024
Between government agencies, non-profits, and defense contractors, the nation's capital is a hotbed for data professionals hoping to start a career in public service. Python can be used for everything from cybersecurity to data analytics, so this is a foundational skill that can really provide an advantage during the job search. Graduate School USA offers onsite group training in Python that can meet all your team's needs. From Python for data science and data analytics to software engineering and automation, there's a course that can help everyone get up to speed and ready to put their Python skills to use.
Python Classes Chicago
29 E. Madison Street, STE 1620, Chicago, IL, 60602
Learning Python in a place like Chicago makes sense, especially when you consider the fact that Chicago has one of the most important finance industries in not only the United States, but in the world. Additionally, the healthcare and tech industries have a strong presence in the region, which considerably expands your opportunties. And, with advancements in AI, the way these industries operate has been transformed. For instance, many financial institutions hire Python experts to build models that assess risks and predict outcomes. Bewteen analytics and machine learning, Python training can give you a real advantage. Practical Programming in Chicago offers onsite group training at your corporate office so your team can acquire Python proficiency all at once. It's worth exploring if your team wants to become more adept at this vital skill and learn to apply it in a real-world context.
Python Classes Los Angeles
Los Angeles has one of the most diverse job markets, thanks in part to the entertainment industry. While Python may not be the first thing that comes to mind when you think "Hollywood," there's a place for this skill in the midst of all the glitz and glamor. Streaming services like Netflix and Hulu hire Python experts all the time -- consider the ultra-specific recommendations you receive after watching a show. These are often powered by Python programming. Moreover, Python training in L.A. can lead production companies to more impactful creative growth. Many professionals use Python in video and animation, which allows tech to intersect with more creative mediums. All in all, learning Python in L.A. is more than just a useful skill -- it's an opportunity to get the best of both worlds: creative expression with tech-based practices.
Python Classes Dallas
Dallas is the leading tech center of Texas, and is actually considered one of the top-growing tech hubs in the country. The region has a healthy mix of finance, healthcare, and even defense and aerospace jobs available, from companies like Lockheed Martin in nearby Fort Worth. AI-related jobs are particularly prevalent in Dallas, but without all the over-saturation that larger tech hubs like San Francisco may see. If you seek work in cybersecurity, analytics, or banking, there's a high chance Python skills can get you further in less time.
Python Classes Boston
The economic landscape for Boston makes learning Python an easy choice. The sturdy education industry lends way to other industries, such as healthcare, finance, and tech, to thrive as well. For instance, Boston University and Harvard University in nearby Cambridge both hire Python professionals to handle a slew of tasks ranging from data analytics to cybersecurity measures. Python is a huge skill across all the major industries in Boston, giving ample reason to enroll in a Python course to learn more and practice applying your skills before entering the job search.
Python Classes Miami
Although Miami is most notable for its nightlife and pristine beaches, there's more than meets the eye. There's a professional underbelly of Miami that supports the local economy -- think industries like tourism, healthcare, and finance. In fact, companies in Miami are turning to data-based and AI-driven solutions more and more every day. In addition, Miami is quickly becoming a finance center for the region, partly due to tax incentives. Learning Python for data science in a city like this allows for more options while searching for the next career move and gives you more insight into the field of your choice.
Python Classes Philadelphia
While Python is useful across any number of industries, it's also worth learning while working in Philadelphia. Many major employers like ComCast or the University of Pennsylvania seek Python-proficient applicants, for any number of roles. Whether marketing or analytics, machine learning or data science, learning Python in a city like Philly just makes sense. In particular, the education industry's large presence draws attention to other companies and industries in the region, like tech and telecommunications. From startups to established institutions, Python jobs typically provide opportunity and stability.
Python Classes Phoenix
Phoenix is among some of the top-growing cities in America, so it's worth knowing what skills can give you a head start when searching for a job. Python is one of those skills -- you can fin work in any of Phoenix's major industries, like manufacturing and tech. Not to mention, the City of Phoenix was named one of the best employers in the region in a 2024 Forbes review. Between government work, data analytics, and yield optimization, Phoenix-based employees can find a slew of jobs where Python is not merely required, but seen as an incredible asset.
What Can You Do with Python Skills?
- Data Science: Thanks to its easy syntax and nearly endless adaptability, Python is a favorite among data science professionals. Data Scientists use open-source Python libraries like Matplotlib, NumPy, and Pandas to clean, manipulate, and analyze data.
- Data Analytics: Data Analysts can use Jupyter Notebook for Python-based analytics. They also use open-source Python libraries for tasks like data visualization, natural language processing (NLP), and machine learning, to name a few.
- Software Development: Python Developers can use their skills to collaborate with Web Application Engineers and develop programs to automate data flow. Python works well for software development with powerful IDEs like PyCharm and Visual Studio Code for editing.
- Web Development: Python frameworks like Django and Flask have famously provided web development for well-known company apps like YouTube, Instagram, and Spotify.
- AI/ML: Artificial intelligence, particularly machine learning, is among the most essential Python applications. Machine Learning Engineers, AI Engineers, and Data Engineers may need Python, Java, SQL, or other languages for their positions.
- FinTech: Financial technology, or FinTech, is part of the broader BFSI sector—business, financial services, and insurance. Many FinTech roles require Python. Popular Python libraries for FinTech include NumPy, Pandas, and SciPy.
- Admin: Office pros can use Python to automate tasks like email, data entry, web scraping, or scheduling. Though not strictly a requirement for most admins, Python basics can save time and promote efficiency in these positions.
Where to Find the Right Python Program
- In-person: Some of the most respected course providers offer in-person and virtual Python classes in major metro areas. If you live in the city, consider enrolling in a bootcamp or certificate program that features Python or includes it in a broader curriculum. Although online training has become increasingly popular, many novices prefer the experience of a face-to-face training program.
- Live online: Even before COVID-19, many students opted for live online technical training as their first choice. Live online courses provide engagement levels comparable to in-person training, and you can learn from the comfort of your home or office. Many course providers hire instructors with significant real-world experience outside the classroom, and you won’t have to commute or find parking to attend. While not for everyone, live online bootcamps or certificate programs can be a great option to learn Python.
- On-demand: Another popular alternative for Python beginners is on-demand or asynchronous learning. These programs typically consist of prerecorded videos, though some offer additional materials like supplemental training books. On-demand courses range from short video tutorials to in-depth programs. The main advantage of on-demand video training is that it is self-paced. People who work the second or third shift or have family obligations can jump online and watch part of a video at any hour. However, lacking interaction with a live instructor or classmates can create a barrier for some Python beginners.
- Self-taught: Most Python novices start with at least a short introduction by reading articles or watching a few YouTube videos. Python provides several free downloads, too, including their beginner’s guide and documentation. However, with a programming language as complex and multifaceted as Python, most students benefit from professional coursework. The investment ultimately saves valuable time since it prevents trainees from getting off track. Whether you want to learn Python for administrative tasks or as the centerpiece of a data science career, the right program can take you from novice to confident Python user in a relatively short time.
Additional Considerations
When evaluating training options, numerous other factors besides the type of course can come into play. Budget, schedule, and the length of the program are a few. Additionally, consider the following:
- Payment installment plans: Some students and busy professionals look for multiple alternatives for tuition payment. Many course providers offer zero percent financing or payment installment options.
- Tuition reimbursement or discounts: Another option for some Python novices is tuition reimbursement through an employer or the VA. Some providers also offer a discount when combining bootcamps into a certificate program.
- Mentoring sessions: Some courses include valuable perks like 1-on-1 mentoring sessions or free retakes. Compare provider listings to see all your options.
FAQs
Why Learn Python?
The reasons for learning Python can be as diverse as those attending a class. Small business owners or administrative assistants might take a short class to learn Python for task automation. On the other hand, those who plan to become Data Scientists will want an immersive program that includes Python training. Consider listing your specific needs before you search for the perfect Python course.
Can I Get a Job After Learning Python?
While the answer depends on factors like your career goals and the type of Python class you take, the answer is often yes. For example, a Python bootcamp or certificate program that runs several weeks or months can prepare even a novice for an entry-level role in data analytics, data science, or machine learning. Check job listings on LinkedIn or Indeed for Python requirements for the position before choosing a training program.
What Else Will I Learn in a Python Class?
Different providers offer different courses, varying in length, cost, and emphasis. However, you may find several commonalities among many Python programs. Longer bootcamps and certificates can include other programming essentials like Structured Query Language (SQL), Jupyter Notebook, and popular libraries like Beautiful Soup, NumPy, and Pandas. Short introductory seminars typically cover Python and database fundamentals.
Who Uses Python the Most?
When it comes to companies that use Python, there is no shortage of household names. Google (Alphabet), Netflix, Instagram, Facebook (Meta), and PayPal are some of the best-known companies that use Python for their tech stacks.
Individual positions requiring Python expertise also vary. Among the most common to require Python are:
- Data Analyst
- Data Scientist
- Machine Learning Engineer
- Python Developer
- Software Engineer
Top industries for Python include:
- Artificial Intelligence (AI) & Machine Learning (ML)
- Cybersecurity
- Data Science/Analytics
- Financial Technology (FinTech)
- Web Development