Learn Python Programming – A Beginner’s Guide
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Are you completely new to programming? Or, do you want to upskill and get ready for a career in machine learning by learning Python?
Either way, Python is easy to learn. and you can master it within a couple of weeks if you have the right guidance.
What is Python?
It is an object-oriented language that has been around since 1989. More than 30 years of documentation, tutorials, reading material, and practice material ensure that you will always find enough resources to learn python online at a lightning-fast speed.
Python is ideal for the rapid prototyping of complex applications. You can use it to manage and manipulate libraries and operating system calls. It is extensible to C++ and C. Even today, large corporations including Google, YouTube, NASA, and BitTorrent use updated versions of the programming language like Python 3 on a regular basis.
What are the prerequisites of learning Python?
That is one question you should be asking before you enroll for any class.
Let’s be absolutely honest. You don’t require any specific skill set or knowledge for a beginner’s intro to Python. Thousands across the world choose Python as the first programming language they’d like to learn every year. It is the simplest language there is in the world of programming.
If you want to learn additional languages after python for beginners, including C, C++, Scala or Haskell, their relatively complex form can be irritating. Therefore, the only prerequisite for beginners opting for Python is keeping a level mind and being open to the idea of learning more complex programming languages in the near future, if you want to be a multi-discipline programmer.
Those interested in furthering their career in only Python, Perl or Ruby can confidently pursue their certification python course.
Why should you think about learning Python?
Currently, Python programming language finds extensive use in Artificial intelligence (AI), neural networks and natural language generation. A significant part of AI, virtual reality (VR) and augmented reality (AR) relies on Python.
Every year, you will come across scores of new technologies that use Python. Here are some reasons programmers and innovators rely on this programming language for manipulating and operating advanced technologies –
- Python is much easier to read as compared to other contemporary programming languages.
- It is platform-dependent and it has complete access to the OS APIs.
- Python offers higher run-time flexibility as compared to other languages.
- Libraries are compatible with Linux, Windows, and Mac.
- You can compile Python to byte-code to build large applications.
- Python does not need a compilation step. The editing, debugging and testing steps are incredibly fast.
At the time, Python finds extensive use in the fields of video game design, building statistical models, and creating AI algorithms.
How can beginners learn Python the right way?
If you are interested in learning python, these are the few steps that can make your learning experience more exciting.
- When you explore the reasons you want to learn python, you might find the motivation and courage necessary to pursue your dream. Several fields use python, so find at least one of the following fields that interest you:
- Mobile applications
- Data science and machine learning
- Game design and development
- Scripts for automating work
- Find the areas that interest you and gear your lessons towards these fields
- Spend some time learning the syntax.
While learning the syntax of any programming language can be tad trite, you cannot skip them. Don’t spend too much time trying to memorize the syntax. You can always begin coding and learn the syntax along the way.
Several resources can help you, master Python, online, but you may find a few exclusive tutorials that can help you learn the basic syntax of python.
Always remember to spend minimal time on syntax, not because they can be boring or demoralizing. But because you will find it easier to master it once you begin working on projects.
- Set up structured projects
You need to think beyond learning the theory. Making structured projects is the best way to learn python. Avoid freeform projects since they can be painful to manage.
Interested in python machine learning (ML)? Visit Scikit learn or a similar library that contains multiple robust tools for statistical modeling and ML.
- Building mobile apps
- Building simple websites
- Data science and ML projects
- Game development
- Scripts for automating work
- Python for controlling sensors, robots and other hardware
- Design projects of your own
Structured projects should give you enough knowledge and confidence to move on with new projects of your own. Unless you step out and begin coding for yourself, you will never understand how much you have learned from the best python course.
Check out StackOverflow, Python Official Documentation and Google for aiding debugging the errors in the programs you have designed so far. Visit Python meetups to test your knowledge, visit Github for open source projects and check out Python-related blogs for new project challenges.
- Level up on your projects
As you learn more, think about increasing the difficulty level of your projects. Here are a few tricks you can try to smoothly level-up:
- Teach a beginner the basics of Python
- Upgrade your program to handle more data or traffic
- Increase the speed of your program or scale-it for accommodating more users
- Think about monetizing your program (although you don’t need to act on it!)
Python is one of the few programming languages that is always evolving. You can indeed learn it in a couple of weeks, but it is also true that the best developers are still constantly learning more about Python. Whether you want to become a professional programmer or you want to learn a programming language for fun, Python is the right place to begin.
You should find multiple structured projects on data science and ML at the python online course of your choice. Here are some fields you should look into for structured projects –
Determining which area interests you most can help you find a structured project that’s right for your level of learning. Set up a small project after a few classes with PyCharm or a similar IDE. Design a small but functional website using Django! Remember, getting errors is only the normal way of learning.