Best Python Classes Near Me: Find In-Person & Virtual Training

Learn More About Python Courses

As coding has become the most in-demand skill across many major industries, one programming language has come to stand above all others: Python. Python has been ranked as the most popular language since 2016, mainly due to the rise in popularity in data science and analytics, and it is an easy-to-learn, open-source coding language. Due to its versatility and always evolving utility across various programming applications, recent trends have clarified that Python's dominance of the coding world is not going anywhere.

One of the main reasons Python has skyrocketed in popularity is its easy readability. Programmers spend as much time reading the script as they do writing it. If a coding language is hard to read, programmers will not be as efficient. Users can harness this readability with other well-known programming language hybrids like CPython and RubyPython. The open-source of the language contributes to millions of users worldwide. Each user can contribute to the language and its potential applications.

Along with Python comes its many great statistical libraries that are also open source. Python has easy-to-read syntax, making it easy for anyone to use. This makes it a great language for beginners to learn and familiarize themselves with computer science and coding concepts. Since Python is used in everything from data science to mobile game development, Python skills are likely to be applicable regardless of your specific long-term programming goals.

Most importantly, it has a vibrant community of developers constantly expanding the breadth of libraries and updating them regularly to keep Python relevant with changing technologies. Since Python is so popular and easy to use, the Python development community has created a seemingly endless supply of resources for would-be programmers seeking to learn the language. Python is one of the central building blocks for any aspiring programmer to learn.

Why Should You Learn Python?

With the wide range of applications Python has and the vast amount of programming languages available, you may wonder if Python is the right language to learn. However, Python is one language you should have on the top of your priority list for various reasons.

An excellent language for those just starting their programming careers is Python. It is perfect for entry-level programmers due to its simplicity and readability.

However, it is also a versatile language. It has seamless integration with other programming languages, which, when combined, only strengthens each language. Python allows users to perform various tasks, including data visualization, application creation, writing complex algorithms, and automating tasks. This versatility provides a unique advantage, enabling learners to explore different aspects of programming while using a single language as a foundation.

Beyond its adaptability, Python engineers often enjoy lucrative six-figure salaries, reflecting the high demand for Python skills in the job market. This financial incentive further underscores Python's appeal as a language to learn. Python boasts an exceptional debugging framework, simplifying the troubleshooting process and making it more accessible for beginners.

Python's utility extends far beyond data science. It is pivotal in various domains, including machine learning, artificial intelligence, web development, and automation. Embracing Python means positioning oneself at the forefront of these cutting-edge technologies as it continues to be a driving force in the ever-evolving world of programming and technology.

What Can You Do with Python?

Many Python applications showcase its versatility, including data science, artificial intelligence, machine learning, web development, game development, and enterprise applications.

In the realm of data science, Python reigns supreme. It is an indispensable tool for professionals across various industries seeking to gain data insights. Python's libraries such as NumPy and Matplotlib, empower data scientists to visualize and analyze data effectively. Essential libraries like TensorFlow, SciPy, Pandas, and scikit-learn enable the development of advanced machine learning models.

Artificial intelligence (AI) and machine learning (ML) practitioners heavily rely on Python for building intricate models. Machine learning engineers and architects utilize Python to craft powerful models, while AI engineers and architects employ it for everything from evaluating AI solutions to implementing advanced automation.

Python's influence in web development dates back to its early days. Frameworks like Django and Flask have played pivotal roles in creating web applications for renowned companies like Instagram, Dropbox, and Pinterest. Developers appreciate Python's seamless integration with other languages like C/C++ and Java, enhancing its versatility in web development. Noteworthy frameworks like Bottle, CherryPy, and Dash contribute to Python's strong presence in this domain.

In the gaming industry, Python remains a valuable asset. With frameworks like Pygame, PyKyra, and Panda3D, game developers harness Python's capabilities to create immersive gaming experiences, although numerous other frameworks exist to cater to diverse needs.

Python's adaptability extends to enterprise applications, with leading technology stacks like Netflix, Microsoft, and Spotify relying on it for building robust solutions. Its widespread usage in enterprise-grade applications underscores its reliability and effectiveness in addressing complex business challenges.

Readability and Ease of Use

Some Python professionals spend more time reading the code than writing it like Data Scientists. While other programming languages like R used to primarily run the field because of its focus on statistical computing and data analysis, it remained difficult to read. This allowed the general purpose language like Python to come in and perform the same tasks but increase efficiency and productivity. This readability promotes open-source collaboration amongst developers, scientists, and hobbyists because the code others produce is concise, readable, and reproducible.

Not only does Python script make it easier to read, but also easier to debug and refactor. Debugging a code simply means fixing errors, and refactoring means optimizing how the code is written to improve performance and efficiency. It is a large chunk of what developers do, and since that means reading a lot of code, one can easily understand why Python quickly became the preferred language for data science.

Python Packages

Python's active and dynamic culture of open-source collaboration explains its plethora of open-source packages. Packages are collections of modules that users can import easily to execute tasks instead of coding functions from scratch. Using these packages saves a ton of time and effort, but more importantly, it reduces the chances of error in your analysis because these packages have been peer-reviewed and vetted.

Many packages are not oriented toward statistical programming and data science since Python is a general-purpose programming language. I encourage you to check out the Python Package Index (PyPI) to explore all the open-source packages Python offers.

Machine Learning and Artificial Intelligence

Among the most cutting-edge aspects of computer science at the present moment are the developments occurring in the fields of machine learning and artificial intelligence. Machine Learning, which relies heavily on Python, builds computer programs capable of "learning" new information by processing immense amounts of data. Today, automated recommendation systems and targeted marketing utilize these programs. Still, as technology becomes increasingly sophisticated, the possibilities associated with machine learning are rapidly expanding.

The steady improvement in artificial intelligence applications is among the most potentially exciting developments in machine learning. The use of AI in chatbots and art programs has recently caught the public's attention, and a growing number of people are investing in programs that can understand and complete complex tasks with the help of AI. While this technology is still fairly rudimentary, skilled Python programmers can find work on the cutting edge of this new technology to help make what was imagined as impossible a decade ago into a readily available consumer AI program.

Python skills are also important for anyone who wants to approach artificial intelligence and machine learning applications. Machine learning is a process of 'teaching' a machine by feeding it incredibly large datasets, and it is important to understand how those datasets have the potential to carry human biases with them. Suppose the data that goes into a set is poorly curated or badly contextualized. In that case, the machine has no way of knowing this, and it is the programmer's job to use Python to ensure that the dataset they use to teach their machines is carefully curated to prevent a garbage in garbage out problem.

Integrating Python with Other Languages

If you're familiar with another language, it is understandable to hesitate to learn another one, like Python, because it has syntax quirks. Fortunately, there are a lot of integration modules that could make the transition process to Python less painful! One of the biggest reasons all these languages decided to write integration modules to work with Python is to gain access to its plethora of data science packages.

Python's rise is even challenging C++ in the Internet of Things (IoT). C++ is a low-level language, meaning it is a 'system's language' closer to processor behavior. This makes it the ideal language for embedded systems. However, a new generation of programmers calls Python their default language, pushing for C++ integration and developing new microcontrollers to understand Python.

What to Learn Alongside Python?

Depending on where you want to take your programming career, you may need to learn other skills alongside Python. While Python will often beat out other programming languages, some tasks may require you to be proficient.

JavaScript is the most used programming language in the world, and while both languages are general purpose, there are uses for both and can vary quite largely. If you want to pursue Full Stack development or web development in general, it will be necessary to know both languages. JavaScript is commonly used to perform front-end tasks, while Python is used to perform back-end tasks. Together, the languages can create a fully functional website.

Other common languages to learn include HTML, CSS, and Java. These languages have various frameworks and libraries that programmers use to complete different tasks.

Before enrolling in any training course, research the requirements for the positions you are interested in pursuing; that way, you know what skill you need to learn before you apply.

Career Outlook

Experts in coding, particularly Python, remain in incredibly high demand across virtually every sector of the economy. As a result, a wide variety of fulfilling and high-paying career options are available to skilled Python users. These options tend to fall into two major categories: development and data science. In development positions, professionals harness Python to create websites, apps, or software, while data science professionals use Python to analyze immense datasets and create tools that automate these analytical tools. Currently, web developers are seeing an increase of 16% job growth while data scientists are seeing a 35% job growth. No matter the path of interest, coding professionals nationwide have access to various Python-related careers.

Web Developer: A Web Developer designs and creates websites, ensuring they are visually appealing, functional, and user-friendly. They use programming languages like HTML, CSS, and JavaScript to build and maintain websites, implement interactive features, and optimize site performance. Web developers collaborate with designers, clients, and other team members to bring web projects to life, adhering to industry best practices and staying updated on emerging web technologies. In the United States, Web Developers earn an average salary of $80,000.

Software Engineer: A Software Engineer designs, develops, and maintains computer software applications and systems. They use programming languages and engineering principles to create functional and efficient software solutions, collaborate with cross-functional teams, and troubleshoot and debug code to ensure software reliability and performance. On average, they earn $115,000 annually.

Back-End Developer: Back-end developers build and maintain web applications' server-side components. They work with databases, server infrastructure, and server-side scripting languages to ensure the functionality and performance of web applications. Back-end developers collaborate closely with front-end developers and other team members to create seamless user experiences and ensure data integrity and security. On average, they earn $155,000 annually across the United States.

Python Developer: A Python developer specializes in writing, testing, and maintaining software applications using Python. They use Python to create efficient and scalable solutions, often working on web development, data analysis, automation, and more tasks. Python developers collaborate with teams to design and implement software projects, ensuring they meet quality standards and align with project objectives. Their expertise in Python allows them to build versatile and effective software solutions. They earn an average of $120,000 annually.

Full Stack Developer: A Full-Stack Developer is responsible for designing, developing, and maintaining a web application's front-end and back-end components. They work with various programming languages and technologies to create a seamless and fully functional user experience. Full-stack developers collaborate with cross-functional teams, ensuring the user interface and server-side functionality work harmoniously. They earn an average of $125,000 annually.

Machine Learning Engineer: A Machine Learning Engineer specializes in designing, implementing, and maintaining machine learning models and systems. They leverage their expertise in programming languages like Python and knowledge of data science to develop algorithms and solutions that enable computers to learn and make predictions or decisions. Machine learning engineers work with large datasets, fine-tuning models and deploying them into production environments to solve real-world problems across various industries. Their role involves staying up-to-date with machine learning and AI technology advancements to create innovative and effective solutions. On average, they earn around $160,000 annually.

Data Engineer: Data engineers design, construct, install, and maintain data acquisition, storage, and processing systems and infrastructure. They work with big data technologies, databases, and pipelines to ensure data is accessible, reliable, and ready for analysis. Creating a robust data ecosystem within an organization requires collaboration between data engineers, data scientists, and analysts. Their role involves optimizing data workflows, managing data quality, and ensuring data security and compliance. They earn an average of $125,000 annually.

Data Scientist: A Data Scientist extracts valuable insights from large datasets using data analysis and machine learning techniques. In addition to programming languages like Python and R, they are proficient in statistical analysis and data visualization. Data scientists identify trends, patterns, and opportunities to inform business decisions by analyzing diverse data sources. Their role involves developing predictive models, conducting experiments, and communicating findings to help organizations make data-driven choices and solve complex problems. They earn an average of $125,000 annually.

Data Analyst: A Data Analyst collects, processes, and analyzes data to provide meaningful insights and support organizational decision-making. They utilize spreadsheets, databases, and data visualization software to organize and interpret data. Data analysts are skilled in querying databases, conducting statistical analysis, and creating reports and dashboards. Their role involves identifying trends, patterns, and anomalies in data, helping businesses make informed choices, and contributing to data-driven strategies and solutions. They earn an average of $75,000 annually.

Salaries and positions available will depend on location, as some cities with a lower cost of living may provide a lower salary for these positions. Of course, with the rise of remote work, there is always the possibility of finding a job with a company outside your city with a more competitive salary.

How Long Does It Take to Learn Python?

Before jumping into training, you may wonder how long it takes to learn how to program with Python. Programming has become one of the hardest skills for any individual to learn, as it is like learning a whole other language. However, Python remains one of the easiest languages to learn, with many professionals mastering the fundamentals in a matter of months.

Experts agree that mastering the basics of Python can take anywhere from five weeks to six months. That is no time for someone who has never programmed anything, as some other languages take years to master fully. Of course, the more programming experience you have when learning Python, the less time it will take you to learn it. Several other factors can affect the time you take to learn the language, like your learning goals, learning speed, and previous experience.

How Hard is It to Learn Python?

When considering learning Python, the idea that learning to code is difficult might cause you to panic. However, Python was developed to be simple and easy to learn. It is one reason the language has become the world's fastest-growing programming language. Anyone can learn to program with Python. Although, as with learning any skill, it does come with some challenges.

One of the main challenges most Python users face is understanding object-oriented programming. Python organizes around data instead of functions, which makes it different from other programming languages. When coming from other languages, it may be difficult for individuals to switch their thinking over to the new way of programming. Overcoming challenges is part of learning any new skill; however, no matter the challenges, Python remains an easy language to learn.

Learning Python

One of Python's strengths is that it is a fairly easy language to learn for first-time programmers. However, it is still a complex programming language, and anyone looking to learn Python should consider enrolling in a professional skills development program to ensure they get all the assistance they need when learning Python. Thanks to the ubiquity of Python, students should have no problem finding a course that fits their needs. However, there are several different types of training to consider.

In-Person

Tech students often favor the traditional in-person classroom approach, especially when learning their initial computer programming languages. This method offers several advantages such as a comfortable learning environment, provided equipment, and the chance to engage directly with instructors and fellow students. However, one drawback of this immersive approach is the time spent commuting, which can be significant if the classroom is distant from one's home or workplace. For those embarking on their journey with Python programming, there are various paths to consider.

Live Online

Online courses and certificates stand out as highly favored means of Python learning, boasting numerous advantages. Firstly, they provide live and interactive sessions, fostering hands-on experience within a dynamic learning setting. With seasoned instructors delivering comprehensive materials and offering real-time responses to queries, you can acquire knowledge from the convenience of your home or workplace. However, a potential drawback for those who thrive in physical classrooms with peer interaction could be a slightly reduced level of engagement in the online learning environment.

On-Demand

Self-paced courses, available on-demand, can provide a strong foundation for mastering Python programming while often being more cost-effective than comprehensive bootcamps. Nevertheless, due to the absence of instructor feedback and a structured accountability system, most students typically regard these courses as supplementary rather than a primary educational approach.

Degrees

Another common way people learn programming is to enroll in a degree program through a university. This option is by far the longest and most expensive option. Some tech jobs require a university degree, whereas others fill the need with short, intensive programs like bootcamps or certificate courses that provide essential skills in a few weeks or months. Students will learn all programming languages and forms as part of a degree program to prepare them for various careers.

Which Learning Method is Right for You?

Once a student has committed to learning Python, they will need to choose the delivery method of their training. Most students find that they prefer an in-person learning environment. Dedicated classrooms can help students focus, and the presence of a live instructor can go a long way to ensuring that students succeed. While learning in-person, students will be able to work directly with their instructors, and many students find it productive to be in the same space as their classmates, as the collective energy helps keep them in a positive mood. Due to the large concentration of such courses in large cities, students may not have many in-person training options nearby. Plus, even for students with access to a nearby training facility, commuting to a training center can add hidden costs to their Python education.

Students who don't live near a training center or simply don't want to commute to a class can still learn Python from experienced instructors by enrolling in a live online training course. In these classes, students will learn Python in private digital classrooms that students enter through telecommunications software like Zoom. These classes retain many benefits of live, in-person instruction since they are also taught in real time by a live instructor. Students can ask questions and solicit feedback on their work, and they can even permit their instructors to interact directly with their screens and devices using remote learning software. Students will be required to provide their hardware and software, though many training providers, including Noble Desktop, offer set-up assistance to get students for digital distance learning.

Students also have the option to enroll in an on-demand Python programming course that allows them to fit their schedule better. These courses are composed of pre-recorded lecture material and supplemental exercises, letting students work on their Python training when they find it most convenient. Since these courses lack live instructors, students will need to take it upon themselves to research external sources to help guide them when they run into difficulties, but since Python has such a large community of developers, finding this material is likely to be easier with Python than it might be with other programming languages.

When choosing which training method to pursue, you must consider your schedule, learning preference, budget, and topic. Each class will meet different needs. You may want to consider the courses available in your area if you prefer a more traditional learning environment. If you need more flexibility, you may opt for a live online class or an on-demand course that will allow you to fit the course into your schedule. If you work full-time, you may want to look for courses that have classes in the evenings or on weekends. Each course type will also fit into a different budget. Typically, the longer the course, the more expensive it becomes. However, as bootcamps and certificate programs may have additional benefits like career mentoring, you may be able to find a job immediately after finishing a program and have the course pay for itself in no time. You will also want to narrow the search of courses to the topics you want to learn about. If you want to go into cyber security, you may not want to spend your time looking into data science or web development courses, and vice versa. Considering each of these will help you narrow the search to find the perfect course.

In-Person Python Classes

Given the coding language's prevalence in today's economy, dozens of ways to learn Python have appeared in recent years. These options range from traditional in-person courses and college degrees to virtual classes and bootcamps. With so many options, deciding on the best opportunity for your learning goals can be dizzying. To help learners make this decision, Noble Desktop's Classes in Your Area allows users to search and compare Python classes available both in-person in their city as well as online.

For those located in New York City, you have countless options to choose from for in-person learning. Noble Desktop offers in-person Python classes in the city. Students can enroll in the Python Programming Bootcamp to get their feet wet if they are new to programming. In this 30-hour course, students will become familiar with the Python software environment. Students will become familiar with the industry standards and best practices for writing code by working through coding exercises. Students can add two projects to their coding Portfolio at the end of the course. For a longer and more in-depth course, students can enroll in the Python Developer Certificate. In this three-week course, students will explore the basics of programming with Python before jumping into more advanced techniques. For most of the course, students will work with the Django framework to develop web applications. Students will learn how to deploy projects with Git and automate tasks.

Another school students can consider in New York City is Practical Programming. This school offers a 30-hour Python Immersive course. This course allows beginner programmers to learn the fundamentals of programming with Python. They will work through real-world projects and coding exercises to become proficient with the code.

On the other coast, in Los Angeles, students also have many Python courses they can enroll in. With several different schools offering courses, students can find the course that best suits their needs. UCLA Extension offers an 11-week Python Programming 1course. In this course, students will learn Python along with its standard library. They will explore object-oriented programming and use Python to access the internet and databases. General Assembly provides high-end technical training that meets the needs of employers across the country. In the Python Short Course, students meet for 42 hours over several months to dive into Python. Students will dive into cybersecurity, analytics, artificial intelligence, and data science. They will explore Python's readable syntax to learn object-oriented programming.

Northwestern University in Chicago offers bootcamps to those looking to enhance their skills to further their careers. Those interested in learning Python can enroll in the FinTech Boot Camp. While this bootcamp does cover more than just Python, students will learn to use Python to create financial libraries, machine learning algorithms, Ethereum, and blockchain. The course introduces students to the ways of creating new financial technology.

Students in Houston can attend Byte Academy, which focuses on providing students with the tech skills they need to advance their careers. In the Python Full Stack Bootcamp, students will spend time learning the fundamentals of Python and object-oriented programming. However, they will also dive into other common programming languages in full-stack development, like SQL, JavaScript, and React. Students also have the choice throughout the course to personalize their learning by working closely with the instructor. In this course, students will complete a series of projects that incorporate different programming languages. The course ends with students completing a four-week internship.

No matter where you are in the country, you can find a course that fits your career needs. The more flexible option of live online learning is always available if one is not nearby or does not fit into your schedule.

Virtual Python Classes

Aspiring Python experts should also consider the value an online course can add to their skill set. Today, these courses offer the same high-quality level of instruction one would traditionally associate with an in-person class; however, all lessons take place remotely so that students can complete assignments from home or work. These classes are perfect for students who prioritize a flexible Python learning environment.

Noble Desktop has provided industry-leading tech education for over three decades, in-person and online. Today, Noble Desktop is proud to offer various virtual Python classes suitable to learners of all commitment levels. Such courses include single-subject courses like the Intro to Python Programming course. In this 12-hour course, students will learn the fundamentals of Python. They will learn to write Python and create code to solve real-life problems. They will also learn to write complex programs. Students with some experience with Python can enroll in the Python for Automation course. In this six-hour course, students will learn to automate tasks using Python. Students will write scripts to run programs, update Excel files, and automate other tasks. These short courses allow students to explore various topics in a short amount of time. They can be great for students who have limited time in their schedule to learn.

Noble also offers various bootcamps and certificate courses for students to enroll in. Students could start with the Python for Data Science Bootcamp. In this course, students will spend 30 hours learning the foundations of Python programming and how to handle different types of data. Throughout the course, students will use object-oriented programming to simplify code while using NumPy and Pandas to analyze data and Matplotlib to create visualizations. This course allows students to gain a strong Python and Data Science foundation simultaneously.

For the most immersive learning experience, students can enroll in one of the many certificate programs, like the Data Science Certificate. The 114-hour course, spanning either four weeks for full-time enrollment or 20 weeks for part-time enrollment, has students dive into different aspects of Data Science. Students will start by learning Python and the fundamentals of data science before jumping into SQL programming. They will then spend time learning automation, visualization, and machine learning. Certificate programs provide the training in all the skills necessary to immediately jump into that career.

As part of Noble Desktop, NextGen Bootcamp provides tech training to high school students. High schoolers interested in jump-starting their programming careers upon graduation can enroll in NextGen Bootcamp's summer virtual Python classes for high schoolers. With the help of these classes, students can prepare for a Python-related career or simply learn the skill to work on Python-related development projects in their spare time. Students can take the Python Data Science & Machine Learning course. In this 45-hour-long course, students will learn to program with Python, write conditional statements, use Pandas, and create data visualizations. They will also spend time learning machine learning algorithms.

Noble Desktop's affiliate companies are also proud to offer virtual Python classes. NYIM Training offers various virtual Python training courses for students to choose from. Students can take the short introductory Python in a Day course, with students writing Python code within one day of training. They will learn to operate the text editor and terminal to create different codes. NYC Career Centers offers similar online Python classes. Students can choose to enroll in one of the various bootcamps or certificate programs like the Python Machine Learning Bootcamp. Students will spend time learning to use the Pandas library and apply machine learning algorithms.

The NYC Data Academy offers an online Introductory Python course that serves as a first step for students interested in learning data science skills using Python. In this course, students will learn the basics of data wrangling and the different kinds of data structures available in Python. Then, students will learn how to work with the most popular Python modules, including NumPy, Pandas, SciPy, Seaborn, and Matplotlib. This course provides students with an ideal entry point into data science. After completing this introductory class, students may consider enrolling in intermediate and advanced Python courses such as Data Science with Python: Data Analysis and Visualization, which teaches students how to use their Python skills to create vibrant and rhetorically effective charts, graphs and other data visualizations, or the Data Science with Python: Machine Learning course, in which students receive instruction in writing machine learning algorithms using Python.

BrainStation offers a suitable introduction to Python in their Online Python Course, which teaches students the fundamental aspects of programming using the language. This course is designed with Python novices in mind and offers students guided instruction in the basics of using the language. Students will receive hands-on instruction in the major libraries used in Python and work with real-world case studies to build and manage Python databases. At the end of the course, the students will produce a collaborative Python development project that mirrors the work that professional developers would be tasked with in their day-to-day employment, making this a good course for anyone looking to get hands-on, practical professional experience.

Students interested in locating and comparing live online and in-person Python courses in their local area should consider visiting Noble Desktop's Classes Near Me tool to learn more about their options.

Corporate & Onsite Python Training

Do you want to enhance your professional or company Python skills? Noble Desktop provides onsite and virtual Python corporate training sessions. You can choose from their available courses or request a customized curriculum that fits your needs. Training can occur directly or virtually through programs like Zoom, which allows teleconferencing.

Noble Desktop also offers vouchers for companies to purchase for their employees. These vouchers can be used for group enrollment courses, with discounts available for multiple purchases.

For further information on Python training options, contact Noble Desktop.

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Python for Data Science Bootcamp Learn The Skills Guarantee™

Learn More About Python Courses

Why Should You Learn Python?

What Can You Do with Python?

Readability and Ease of Use

Python Packages

Machine Learning and Artificial Intelligence

Integrating Python with Other Languages

What to Learn Alongside Python?

Career Outlook

How Long Does It Take to Learn Python?

How Hard is It to Learn Python?

Learning Python

Which Learning Method is Right for You?

In-Person Python Classes

Virtual Python Classes

Corporate & Onsite Python Training

Top Bootcamp Programs That Include Python

Python Corporate & Onsite Training Noble Desktop

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