How to Learn Python - 246 Bootcamps to Get You Started
What you need to know about Python
Since its creation in the early 90s, Python has climbed its way to become one of the world's most popular programming languages1. It is considered a general-purpose language and offers multiple uses in web, software, game development, and more.
Python is also used in fields like Data Science and Machine Learning, so it is a beneficial language to know. If you're interested in learning Python through a course, bootcamp, or certificate program, jump to our comprehensive list of programs below.
What is Python used for?
Python is a high-level, open-source programming language that is often compared to Java, JavaScript, Smalltalk, and Perl2. Python is object-oriented and is used for web and internet development, scientific and numeric computing, teaching programming, desktop GUIs, software development, and e-commerce and ERP systems. It is also an attractive option for Rapid Application Development because of its dynamic typing and binding and built in data structures.
Why Learn Python?
In addition to being a highly sought-after developer skill, Python's current popularity makes it an excellent language to learn because it can be used in a wide variety of projects. It's easy to learn because the syntax is clean and readable, but not easy to outgrow, meaning its capabilities are expansive, unlike other beginner-friendly languages. Python is flexible, broadly applicable, and works with .NET, C#, Ruby, Java, and more. Developers can save time using its extensive ecosystem of resources, including frameworks, libraries, and numerous support communities.
Python is also a great skill to gain for employability. According to Dice, a site dedicated to technology careers, Python is one of the most in-demand skills.
Who should learn Python?
Python is a great language for anyone to learn and grow with. Unlike some programming languages, Python's use is expansive and covers a range of programming needs, from basic to advanced. It is frequently used in data science, making it an excellent choice for those who want to go into the field. It is also helpful to learn if you're going to pursue a career in back end development, AI, or software engineering.
What kinds of jobs can you get with Python?
Because it is a widely used language, Python offers numerous career opportunities, such as becoming a web developer, software engineer, machine learning engineer, or data engineer. Python's official website also provides job listings for those with Python skills.
According to Salary.com, an entry-level Python Developer earns around $86,390 per year. Industries that use Python developers are Big Data, business services, healthcare, finance, and software. Some notable companies using Python include NASA, Google, YouTube, Netflix, Dropbox, and the NSA.
What are libraries in Python?
Python has a vast amount of modules and scripts through the Python Package Index (PyPI) and over 200 standard libraries. Examples of popular Python Libraries include:
- Scikit-learn, used for data mining and machine learning
- Numpy, used for machine learning
- PyTorch, used for applications
- Eli5, used for mathematical applications
What are frameworks in Python?
Python frameworks work to solve common application challenges. Building with a framework can reduce the time it takes to create applications and they are often more bug-free. Some popular Python frameworks include Django, Flask, TurboGears, Web2Py, and Pyramid. When choosing a framework, developers start by identifying its features and what the framework is for. They also look at what kind of support, security, and sustainability the framework provides.
Learn Python at a coding bootcamp
Many bootcamps include Python in their curriculum, but some bootcamps focus on helping students become Python Developers. For example, General Assembly offers numerous Python courses both online and in-person, and BrainStation offers an online Python Programming course. We've compiled a comprehensive list to help you find bootcamps that teach Python. You can also begin by taking a beginner's course through platforms like Udemy or LinkedIn Learning.
Comprehensive list of Python Bootcamps
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Future Collars is a step towards professional change and starting a new satisfying career in IT without a previous experience. Our offer includes 14 bootcamps in the field of programming (Java, Python, JavaScript), UX Design, Data Science, Business Intelligence, Testing, Project Management (Scrum Master, Product Owner) and CyberSecurity. Since its founding in 2016, Future Collars has managed to help over 3,000 people increase their competitiveness on the job market and begin their professional journey in...
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The Ohio State University College of Engineering offers a 12-week, full-time web development boot camp, and 24-week, part-time web development, cybersecurity, data analytics, and UX/UI boot camps held online. The full stack curriculum includes HTML, CSS, JavaScript, jQuery, Bootstrap, Express.js, Node.js, databases, MongoDB, MySQL, and Git, with in-person and online options. The cybersecurity curriculum offers hands-on training in networking, systems, web technologies, databases, and defensive and offensive cybersecurity. The UX/UI program provides hands-on training in...
OpenBootcamp is the first free technology training school for Spanish-speaking developers. It includes from specialized training in the latest technologies and soft skills training to the integration of participants in leading technology companies. OpenBootcamp currently offers 100% free Bootcamps for programming and web development in four categories: Introduction to Programming, Front-End Developer, Back-End Developer and FullStack Developer, with high quality and in-depth content in the most used classic languages and frameworks such as: HTML, CSS,...
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References
- The RedMonk Programming Language Rankings: January 2020. [online] Available at: https://redmonk.com/sogrady/2020/02/28/language-rankings-1-20/ [Accessed 2 August 2020]
- Comparing Python to Other Languages. [online] Available at: https://www.python.org/doc/essays/comparisons/? [Accessed 2 August 2020]
