This programming language consistently ranks as one of the most popular in the world. SlashData, a leading analyst firm in the developer economy, estimated that Python gained more than two million new developers in 2018. And in 2019, Zdnet reported that Python was now more popular than Java. That year, there were 8.2 million developers in the world coding using Python, compared to those using Java at 7.6 million.
- We stand on the shoulders of giants, and you should take advantage of this.
- Or maybe you want to improve your Python skills and increase your market value.
- You’ll also take a look at SQL, NoSQL, and Redis use cases and query examples.
- Version control can help keep projects organized and track every single change.
- If you decide to go ahead with another programming language, you will relearn how to do the same things you already know in Python.
Unlike complex languages, Python reads like natural English, making it easier to learn and use. This versatility allows it to be used for web development, data science, machine learning, and even automating tasks, making it a valuable tool for programmers of all backgrounds. Unlike languages like CSS, HTML, and JavaScript, you can use Python for more than just web development. Developers often use Python for software development, back-end development, data science, and more. This popular programming language is also designed to work for practically any size of the project.
Should You Update to the Latest Python Bugfix Version?
These 5 courses will lay the Python programming foundations you need to work with data. There are several online courses available to start learning or continue building your Python skills. Core python concepts are the concepts that lay a stepping stone for your journey in python. You should have mastered a few concepts like data structures, exceptional handling, object-oriented programming (OOPs), multithreading, packages, functions, upgrading versions, generators, iterators, etc. In the role, you’ll contribute to technical design and implementation of critical systems in Apple’s CI platform.
Now that we’ve ignited your passion for Python development, let’s dive deeper! Here are the top 10 essential skills that will transform you into a highly sought-after Python developer in 2024. How to take advantage of vectorization and broadcasting so you can use NumPy to its full capacity. In this tutorial you’ll see step-by-step how these advanced features in NumPy help you writer faster code. Not to mention, many employers and Python projects use specific frameworks and libraries and will only hire devs who are familiar with those.
Important Skills for Entry-Level Python Developers
Once you’re past the basics, you can start digging into our intermediate-level tutorials, which will teach you new Python concepts. This category is for intermediate Python developers who already know the basics of Python development and want to expand their knowledge. Get a jump start on your Python career with our learning resources designed for beginners. Here you’ll find fundamental concepts for Python beginners, which will help you get started on your journey to learn Python. These tutorials focus on the absolute essentials that you need to know about Python. The vast majority of data scientists and engineers use Python at some point.
This course will get you up and running with Bokeh, using examples and a real-world dataset. You’ll learn how to visualize your data, customize and organize your visualizations, and add interactivity. In this course you’ll see how to use some lesser-used but idiomatic pandas capabilities that lend your code better readability, versatility, and speed. Based in Dublin, she has been a writer and editor across print and digital platforms for over 15 years.
Socket Programming in Python (Guide)
Some ways to debug are by simply printing out variables values, altering the path of the program, stopping execution of certain events, and using a debugger. We’re super passionate about teaching with articles and tutorials here on realpython.com—and we’d love to help you, too! We regularly cover topics around Python and software development in general.
These activities will not only enhance your skills but also build a strong portfolio to showcase your abilities to potential employers. Web frameworks in Python like Flask, Django, Bottle have been popular since their initial days and have grown to a great extent in recent years. More and more web developers are now switching to these frameworks due to the sophisticated nature, ease and pace of build, security, and Scalability these frameworks offer. Other popular python frameworks include web2py, Falcon, Dash, CherryPy, etc.
Ace Your Python Coding Interview
One of the world’s oldest and most respected technology companies, IBM invented the floppy disk, the hard disk drive, and the UPC barcode. Nowadays, it is best known for cloud computing and data analytics as well as ongoing world-class research and development. IBM hires Python programmers and developers across a wide range of roles, including machine learning and AI. All of the resources in our learning paths were created by professional Python developers with years of experience to ensure that you’re learning the skills and techniques that really matter. In this section you’ll find Python tutorials that teach you advanced concepts so you can be on your way to become a master of the Python programming language.
In this article, I shared some of my best tips to help you improve your Python skills. You can write better code through courses, coding puzzles, books, and projects. It’s also a good idea to watch lectures, attend webinars, and listen regularly to Python podcasts.
Writing code used to build these automated processes is called scripting. In the coding world, automation can be used to check for errors across multiple files, convert files, execute simple math, and remove duplicates in data. Python is often used to python developer course develop the back end of a website or application—the parts that a user doesn’t see. Python’s role in web development can include sending data to and from servers, processing data and communicating with databases, URL routing, and ensuring security.
By “be specific”, I mean you should choose projects that will help you professionally. If you want to be a backend developer, building an API can be a good project. If you want to be a computer vision engineer, a project related to object detection will be more relevant. You do not need to have ten projects in your portfolio; 3 to 5 well-targeted projects are enough. While solving puzzles gives you coding sessions, sessions alone are not enough. You must build projects to gain experience, enrich your portfolio, and be able to add marketable skills to your resume.
Reading and Writing CSV Files
If you have a Master’s in computer science, plus 10 years of investment management and software development experience,apply for this role. Like any other developer, Python devs should have some soft skills that make it possible to work well with others. That means having good communication skills and being able to collaborate with other developers and team members.
