Python is a high-level programming language that was created by Computer Scientist Guido van Rossum. It was released in 1991 and has become one of the world’s most popular programming languages, used by millions of developers. It is valued for its versatility and ease of use. Developers also like that it has a large and supportive community and can run on many different platforms. Python is utilized for many different tasks including web development, data science, software development, and machine learning.
What Can You Do with Python Training?
Python is a sought-after and versatile language. It can be used for many different tasks and in a wide range of industries. In a GitHub blog article titled “Why Python Keeps Growing, Explained, ” the author says, “Because of its wide scale applicability in development and data analysis work, learning and knowing Python is often considered a top skill among job seekers.” Python is one of the most commonly used languages for data analysis, where its adaptability means that it can be used to manipulate data in many different ways. It is also very popular in machine learning, where it is used to train language models. Another field where Python is often used is finance, where it is used for complex calculations and visualization. Python is also well-suited for automating repetitive tasks, for which users can use pre-written code from one of its libraries, or write their own. Finally, Python is a popular web and software development tool. Its extensive collection of libraries and frameworks helps developers work more efficiently, and its cross-platform independence is also an asset.
What Will I Learn in a Python Class?
While every Python class is unique, most classes are likely to cover some of the same foundational skills. When you take a Python class, you’ll learn about reading and writing the Python language and using its libraries and frameworks. You’re also likely to learn about data structures and algorithms. Another topic covered in most classes is best practices. Finally, as you learn Python, you’re likely to improve several soft skills such as your problem-solving abilities.
The Python Language
Python has its own syntax, which is a set of rules related to the way the language is used. When you take a Python class, you’ll learn the unique syntax associated with this language. Python does share certain similarities with other languages, however, there are also many unique concepts to learn. Skills are likely to include variable expressions, strings, data types, conditionals, functions, lists, and loops.
Python Libraries and Frameworks
A Python class will also cover the libraries and frameworks associated with this language. These are prewritten collections of code that you can use for certain programming tasks. They eliminate the need to write every single piece of code from scratch, which means you can work more quickly. Libraries and frameworks can also improve your efficiency by letting you skip certain low-level details. Matplotlib, Pandas, and NumPy are three popular Python libraries; Django and Flask are popular frameworks.
Data Structures and Algorithms
Many uses of Python involve working with data structures and algorithms, so you’re likely to cover these concepts in a Python class. A data structure is like a container that can be used to store and organize data in a certain way. Trees and arrays are examples of data structures. An algorithm is a set of instructions that can be used to process and manipulate data. For instance, there are algorithms for sorting and searching.
Best Practices
When you use Python, it’s important to follow best practices so that your code is consistent, clean, maintainable, and reusable. For example, there are many style conventions that you should follow when working with Python. There are also naming conventions that can help keep your code consistent and make it easy to understand. Other best practices include keeping your code organized, documenting it, and testing it regularly.
Problem-Solving
Any type of coding, including with Python, involves a lot of problem-solving. As you learn Python and practice your skills, you’ll also improve your problem-solving abilities. You’ll learn how to simplify complex problems and how to find different ways to achieve the same results. You’ll also learn how to break problems down into smaller pieces that are more manageable to work with, and you’ll learn to debug your code, which also involves problem-solving.
How Hard is It to Learn Python?
Learning any coding language is challenging and requires time and dedication, and Python is no exception. However, compared to some other languages, Python is considered relatively easy to learn because of its simple syntax and readability. In a Course Report article titled “5 Reasons to Learn Python, ” Python instructor Brandi Butler says, “Python is consistently cited as one of the easiest to learn programming languages by community groups, educational institutions, and technology news sites. In fact, any list of top languages to learn for beginners will always give a shout out to Python.”
What Are the Most Challenging Parts of Learning Python?
When you’re learning Python, you may find the process of debugging to be challenging. Debugging is finding and fixing errors in your code. When you write code, even a tiny error can have big consequences. Unfortunately, finding errors can be time-consuming and many beginners find it frustrating. Experts say that the best way to get better at debugging is practice; the more time you spend debugging, the easier and less frustrating it will feel.
How Long Does It Take to Learn Python?
Everyone has a different learning experience, however, many find the Python learning process to be relatively quick. You’ll probably be able to pick up some basic skills within a matter of weeks and you’re likely to become fairly comfortable using this language within about six months. Mastering it may take longer; possibly a year or more. If you already have coding experience, you’re also likely to learn more quickly. In addition, the more time you spend practicing, the more quickly you’re likely to learn.
Should I Learn Python in Person or Online?
You could learn Python by enrolling in an in-person class or you could take an online course. Each format has advantages and disadvantages and the best option for you will depend on your unique needs and preferences. In-person classes tend to have fewer distractions because they take place in a dedicated classroom space. Many people also find them more engaging and some instructors say that with this format, it’s easier to see when students are struggling. However, in-person learning requires a commute, which can be difficult, and it also limits you to class options that are located nearby.
Students who need more flexibility often opt for online learning, where you learn by logging in on your computer. All you need is an internet connection for an online class. One popular type of online learning is a live online class—also referred to as virtual learning. This type of class happens in real-time, with a live instructor, just like an in-person class. You can ask questions, get feedback, and interact with fellow students. A downside is that you’ll have to provide your own equipment and software, and you may encounter technical difficulties if they arise. Another online learning option is an on-demand class. This type of learning is asynchronous, with no live instructor. Instead, the material is pre-recorded and you work through it at your own pace, stopping and starting, fast-forwarding or rewinding, whenever you need to. In most cases, this type of class is cheaper too. Downsides include the lack of a live instructor and the fact that you’ll need to remain engaged and motivated since you’ll direct the pace of your learning. Since many people take on-demand classes from home, there is also the possibility that they may face more distractions while learning.
Can I Learn Python Free Online?
Free online resources can be a valuable part of the Python learning process. If you’re a beginner, you can use them to get a better understanding of what Python is and how it is used. For example, Noble Desktop offers several free Python seminars including Intro to Python Fundamentals and Exchanging Excel for Python that give you a good overview of this language. Free resources can also be a good way to pick up a new skill, which you might do by watching a YouTube tutorial. You may also be able to troubleshoot a problem online by visiting a forum where expert users might offer their experience. However, if you want a comprehensive Python education, you’ll probably need to enroll in a paid class. Most free resources are not comprehensive enough to cover all the concepts and skills that you’ll need to know to master this language. Another problem with free resources is that some are outdated or inaccurate. With a paid class, you’ll be guided by an expert. You’ll also be able to ask questions and get feedback on your progress, which will speed up your learning process.
Industries That Use Python
The versatility of Python means that it is used in many different industries including finance, tech, artificial intelligence, and security. As the Python Institute explains on its website, “Python is the programming language that opens more doors than any other. With solid knowledge of Python, you can work in a multitude of jobs and a multitude of industries. And the more you understand Python, the more you can do in the 21st Century.”
Finance
Python is a popular tool in finance where it is used to automate tasks such as generating financial reports, and to analyze and visualize financial data. This language is also used to build FinTech applications, which have become increasingly popular in recent years. FinTech applications are tools that support a variety of financial services and they include mobile banking apps and financial management tools.
Technology
Python is also very popular in the tech industry. Its versatility means that it can be used to create many different types of programs. Users like that it can increase efficiency, streamline the workflow, and automate tasks.
Artificial Intelligence
Python’s simple syntax, ease of integration with other languages, and large collection of libraries and frameworks have made it a popular choice for AI-related tasks. Another benefit is its large and active community of users, which programmers can turn to for support.
Security
Security professionals often utilize Python because of its simplicity, flexibility, and extensive libraries. Another benefit of using this language is its cross-platform independence; it can run on any operating system.
Python Job Titles and Salaries
Data Scientist
A Data Scientist collects and analyzes data with the goal of understanding it better, solving a variety of different types of problems, and providing actionable insights. Data Scientists also create models and algorithms to help them accomplish these tasks. Another part of this role is communicating findings using a variety of visualization tools. Data Scientists need math and programming skills and should be intuitive, creative, and good problem-solvers. According to Indeed, the average yearly salary for a Data Scientist in Canada is $95,000.
Web Developer
A Web Developer creates and maintains websites. Some of the tasks involved in this job include meeting with clients to understand their needs and working on the design of the site. A Web Developer also creates the site, which usually involves coding, and implements security measures. In addition, they test and maintain websites. Web Developers are usually skilled in using multiple programming languages. They also have strong problem-solving, collaboration, and communication skills. As reported by Indeed, the average annual salary for a Web Developer in Canada is $71,000.
Software Engineer
Software Engineers build and maintain software. They start by working to gain an understanding of user needs and then design software applications to meet those needs. Software Engineers can work on many different types of applications including operating systems and video games. This job also includes documenting software, testing it, and maintaining it. Software Engineers need coding and debugging skills, attention to detail, and problem-solving abilities. A Software Engineer in Canada has an average annual salary of almost $82,000, according to Indeed.
Machine Learning Engineer
Machine Learning Engineer is a fast-growing and lucrative job that involves designing and creating machine learning models that allow computers to function without human assistance. Some of the tasks involved include researching needs, designing models, building those models, and training them. Machine Learning Engineers also monitor and optimize their models. They need to have strong math, data science, and programming skills. They also need to be skilled in problem-solving, critical thinking, and communication. As reported by Indeed, a Machine Learning Engineer in Canada earns about $121,000 annually.
Python Classes Near Me
There are several different schools that offer Python classes in Canada. The University of Alberta offers a Python Back-end Web Development Certificate, with courses running online. There are six classes in this program, and it is designed for part-time study. Students learn about Python, Django, and Django API, and they work on a Python project. They also take a class focused on using SQL and working with databases.
BrainStation also offers Python training in multiple Canadian locations. Its Python Course starts with Python fundamentals, including Jupyter Notebook. Next, students learn about data structures and algorithms. They will learn how to apply Python skills to data management. The next part of the program covers Python for data analysis, which includes using Pandas, NumPy, and Matplotlib. Finally, students will participate in a collaborative Python project.
General Assembly is another option for Canadian residents. Its Python Programming Short Course is offered in an online format. Students learn Python fundamentals. They also learn about object-oriented programming. In addition, the course covers Python in data science and Python in web development. Students will also work on a real-world project.
Noble Desktop is a coding and design school that is based in New York City and offers all of its classes in a virtual format. This school is licensed by the New York State Department of Education. When you take one of its classes, you’ll get a certificate of completion and the option of a free retake within one year. One of its most popular Python classes is the Python Developer Certificate, which is a multi-week program designed to prepare you to work as a Back-end Developer, Software Developer, or Python Developer. In this class, you’ll learn to use Django, Django REST, Git, and SQL. You’ll also learn about dictionaries, custom functions, sorting algorithms, and working with APIs. In addition, you’ll work on projects for a portfolio. The class comes with four one-on-one mentoring sessions. To take the class, you should be able to code with HTML and basic CSS. If you need to learn these skills, Noble Desktop offers a basic HTML and CSS class.
Another Noble Desktop option is the Python for Data Science Bootcamp. This is a multi-day class and is intended to teach you the fundamentals of Python programming and data analysis. In this class, you’ll learn both basic and advanced Python skills. In addition, you’ll learn to structure programs and work with arrays and data frames. This includes using NumPy and Pandas. You’ll also learn many other Python-related skills including analyzing and filtering data, and using data science libraries like Pandas, NumPy, and Matplotlib. A one-on-one training session is also included. This program will prepare you for a machine learning class.
If you’re looking for a broader education, Noble Desktop also offers a Software Engineering Certificate. This is a comprehensive multi-week course intended for students interested in becoming a Full Stack Developer or a Software Engineer. You’ll learn front-end development, React Development, and Django (Python) Development. You’ll also learn many different front-end tools including HTML, CSS, and JavaScript. In addition, you’ll learn how to use Flexbox and Grid for layout and adapting to different screen sizes, and Git for version control. The course also covers JavaScript—including data types, loops, and variables—and you’ll learn about the JavaScript library, React. As part of the course, you’ll create and deploy a desktop application using React and deploy it with AWS. The course includes twelve one-on-one mentoring sessions. You’ll also create a portfolio that you can use to demonstrate your skills to prospective clients and employers.
Python Corporate Training
If you want to train a group of employees in Python, you’ll find corporate Python training programs offered by Noble Desktop. These programs take place either on-site or in a live online format via Zoom or a similar platform. Noble’s expert instructors have both teaching and industry experience. They can provide a variety of flexible scheduling options and can customize content according to your needs. In addition, they will provide post-training support materials such as handouts, and access to educational videos, to help reinforce what participants have learned.
If you’d rather provide your employees with more flexibility, you could purchase vouchers for Noble Desktop’s regularly scheduled public classes. With this option, employees can sign up individually for a class that meets their scheduling needs. Noble offers bulk purchase discounts for vouchers. To get more information about corporate Python training options or to schedule a free consultation, email Noble Desktop.