It is named after the British comedy group Monty Python and is an interpreted, object-oriented, high-level programming language. It has built-in data structures that make it very attractive for rapid application development when combined with dynamic typing and dynamic binding.
It’s also good as a scripting or glue language to connect existing components, according to the organization behind the language.
What is Python?
Python debuted in 1992, and programmers can use it for a wide range of tasks, including:
- Website and software development
- Task automation
- Data analysis
- Data visualization
- Web development and frameworks
- Embedded systems
- Graphic design
- Network development
- Rapid application development
- Automation scripting
Many non-programmers, such as scientists and accountants, can use the language because it is easy to learn and use, has simple syntax, and is very versatile.
Some of the world’s largest organizations use Python, ranging from NASA and Google to Netflix and Spotify. It is also great for prototyping online products, so many startups use it to build minimum viable products (MVP) they can bring to the market quickly.
Should you learn Python?
Developers with Python skills are highly sought after. The development salary for Python in 2021 is $107,935 per year, according to Indeed.
Many opportunities exist to use Python in emerging technologies, such as artificial intelligence (AI), machine learning, and data analytics. Python consistently ranks as one of the top three highest-paying languages based on average salaries over the last three years.
It boasts a flourishing community that supports and develops the ecosystem, each member adding their contributions and libraries. Having this support, programmers can learn from others and build on the successes of those who came before.
Python also has the second-largest GitHub community, with over 90,000 users committing code to over 1.5 million repositories. There are also Python User Groups where programmers can meet up and share resources and solutions.
What are the best Python courses?
If you are interested in learning Python or need to brush up on skills, you should consider the following courses.
2021 Complete Python Bootcamp From Zero to Hero in Python
Course length: 22 hours
This course will teach students how to use Python professionally by learning Python 2 and Python 3.
It will teach advanced Python features, such as the collections module and how to work with timestamps. Students will also learn how to create GUIs in the Jupyter Notebook system and use Object Oriented Programming with classes.
Course length: 5 hours 11 minutes
This course gets you started with Python, a dynamic language popular for web development, big data, science, and scripting. Students will also learn how to build everything from simple scripts to complex applications and do so using fewer lines of code than you might think possible.
30 Days of Python | Unlock your Python Potential
Course length: 9.5 hours
This course helps students understand Python basics, making it great for beginners at any age and level of computer literacy.
Students will learn Python by building real projects step-by-step while the course explains every concept along the way. Some examples of projects the course includes are building their Python applications for all types of automation, reading and writing comma-separated value (CSV) files to better store data locally and work in popular programs like Microsoft Excel and Apple Numbers.
Learning Python with PyCharm
Provider: LinkedIn Learning
Course length: 2 hours 30 mins
Students can learn Python programming with PyCharm, a cross-platform integrated development environments (IDE). The course includes step-by-step guidance on setting up a development environment and the chance to explore text editing tools.
This course also teaches students how to improve code quality with Lens Mode and Intentions, refactor and debug code, and perform unit testing with the PyCharm test runner.
Python and Django Full Stack Web Developer Bootcamp
Course length: 32 hours
This course covers the creation of a fully functional website using the Full-Stack with Django 1.11. Students will learn how Python can code out web applications and implement a full models-views-templates structure for a site. It also covers using Django as a back end for websites.
AI Programming with Python
Course length: 3 months
This teaches students the essential foundations of AI: the programming tools (Python, NumPy, PyTorch), the math (calculus and linear algebra), and the key techniques of neural networks (gradient descent and backpropagation).
The course also covers foundational linear algebra for AI, such as vectors, linear transformations, matrices, and the linear algebra behind neural networks.
Professional Certificate in Introduction to Python Programming
Course length: 5 months
Students can learn the fundamental design cycle of computer science and computer programming: writing and executing code, interpreting the results, and revising the code syntax based on the outcome.
It also teaches the control structures for developing dynamic programs, including Python libraries: conditionals, loops, functions, and error handling.
Python 3: A Beginner’s Guide to Python Programming
Course length: 7 hours 53 minutes
This course is a step-by-step guide through the Python 3 programming language. Students will go from a complete Python beginner to creating their programs. One of the course’s challenges is to create a text-based adventure game to help build Python coding skills and experience.
Course length: 63 hours
This course gives students the career-building programming skills needed to successfully develop software, wrangle data, and perform advanced data analysis in Python. No prior coding experience is required.
Students can learn how to manipulate data, write efficient Python code, and work with challenging data, including date and time, text, and web data, using application programming interfaces (APIs).
Data Scientist with Python
Course length: 88 hours
This teaches students to use Python to import, clean, manipulate, and visualize data. It has interactive exercises to get hands-on with some of the most popular Python libraries, including pandas, NumPy, Matplotlib, and many more.
Students can also work with real-world datasets to learn the statistical and machine learning techniques needed to train decision trees and use natural language processing (NLP).
Python for Everybody Specialization
Course length: 8 months
This course uses the Python programming language to introduce fundamental programming concepts, including data structures, networked application program interfaces, and databases.
There is a project where students use the technologies learned throughout the course to design and create their applications for data retrieval, processing, and visualization. The University of Michigan offers this course via Coursera.
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