Developed in the late 1980s, Python was first introduced to the world by Guido van Rossum in 1991 with the help of the Python Software Foundation. What initially started as a replacement for ABC – another general-purpose programming language – soon won the hearts of many, as Python found popularity for its approachable high-level use and versatility. In addition, it’s known for its simplicity and readability, which makes it an excellent choice for beginners and experienced developers alike.
Today, the rapid growth in demand for talents with Python knowledge outstrips its supply. In addition, with machine learning and AI being featured significantly in the future of work, more wish to learn Python programming for either career development or cushioning, and more courses are being released to help those who wish to add this skill to their resume. Roles that have benefited or emerged from Python skills include data scientists or analysts, machine learning engineers, data engineers, and even financial analysts or traders.
Because it’s so accessible, learning Python programming for beginners is often straightforward. Here are ten tips that can help one adjust quickly to Python programming.
Start With The Basics
Learn the syntax, data types, and basic structures of the language, such as variables, loops, and functions. The official Python Tutorial is a good way to start. Putting the learning in context through projects is a great way to see its relevance and maintain motivation. Don’t worry about memorising everything but be familiar with them by reading through them for a week or two.
Practice, Practice, Practice
Coding can be like muscle memory, so getting into the work is key to becoming fluent. LearnPython.org is a website that offers interactive tutorials on Python, allowing you to practice what you learn in your browser. Start with simple programs and gradually build up to more complex projects. This will help you gain confidence and a deeper understanding of how the language works. Do this everyday, and you’ll soon be granted familiarity.
Learn By Example
Look at examples of Python code, whether it’s in tutorials, sample programs, or open-source projects, to see how the language is used in real applications. You can copy and archive some of your favourite bits for reference if you wish.
Use Interactive Environments
One of Python’s strengths is its ability to render results immediately and even test without affecting the main codes. Use IDLE or Jupyter Notebook to experiment with code and see the results instantly.
Learn From Others
Python’s popularity and open-source nature have gained a massive online community. Join forums, social media groups, or meetups to connect with other Python developers and gain tips or learn from their experiences. One place to start is Pythonista Cafe. Or GitHub – a platform for developers to host and share their code with open-source Python projects.
Take Online Tutorials Or Courses
Sometimes, having a structure helps. Some online tutorials and courses can help you learn Python – some even promising you the ability in an hour – so check these out to gain some bearing.
Build Something, Anything
Once you have a basic understanding of the language, try giving yourself a goal and build your projects, whether it’s a simple script or a more complex application. This will help you apply what you’ve learned and the joy of seeing them work will spur you on. It could be a location-based mobile game or an algorithm to predict the weather. Try pair programming, where two persons set a task and collaborate on it together at a sitting. One person codes while the other observes and guides, before switching roles after a while. Otherwise, Automate the Boring Stuff with Python is a free online book that teaches Python programming through practical projects such as web scraping, data visualisation, and Excel automation.
Build Upon The Libraries And Frameworks
Another benefit of Python is that it has a rich ecosystem of libraries and frameworks that can help you accomplish a wide variety of tasks. Learn the most popular libraries and frameworks, such as NumPy, pandas, matplotlib, scikit-learn, Flask, Django, and achieve many seemingly advanced tasks in half the time.
Get Help When You Need It
If you get stuck while debugging, don’t waste too much time on it and ask for help. Many resources such as documentation, forums, and Stack Overflow, can help you find answers to your questions.
Learning a new programming language can be challenging, but the reward of seeing your first project function will be fulfilling. For beginners, Python programming is one of the easiest ways to get into the world of coding. Enjoy the process with small, fun projects, and let the community and the libraries support you. With a bit of time, patience and practice, you will quickly become proficient in Python.
Receive guidance in your journey with Python at Heicoders Academy.