Python is a high-level, object-oriented programming language that was created by Guido van Rossum. Because of its ease of use and adaptability, most newcomers to the development sector prefer Python as one of their initial languages to learn. It is also well-liked by the community and continues to grow in prominence. We will cover the fundamentals of Python as a programming language and how to get begun with it in this beginner’s guide to Python.
So, the next time you’re surfing through Google, enjoying reels or memes on Instagram, watching videos on YouTube, or just listening to your favorite songs on Spotify, you will realize that almost all of these platforms have been using Python. Let us take a look at a couple of uses of Python:
- Web Development
- Software Development
- Game Development
- AI & ML
- Data Analytics
- Desktop GUI
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Why Learn Python?
Since Python is now the most popular programming language for allowing data science and machine learning applications, you should utilise it. Of course, Python has advantages; for example, it is faster than other programming languages, including R.
Python is, without a doubt, a fast compiler. You can broaden its uses beyond analytical research, analytical modeling, and statistical modeling because it is a Java-based programming language. You’ll be equipped to use Python to construct web applications that are directly connected to your analytical models in the background.
Python is also very straightforward to integrate with other programming languages and platforms. It offers a standard object-oriented programming design that makes transitioning to the analytics domain very simple for existing IT developers, analysts, and programmers. It offers strong documentation support as its coding style is object-oriented programming architecture.
Benefits Of Learning Python
- Python may be utilized to rapidly create prototypes owing to its ease of use and readability.
- Python is used by the majority of automation, data mining, and big data systems. This is due to the fact that it is the best language for general-purpose jobs.
- Python provides a much more efficient coding experience than languages such as C# and Java. When dealing with Python, seasoned developers are also more structured and productive.
- Even though you might not be a great programmer, Python is simple to understand. All it needs is a little effort and a lot of practice to get started with the language. This also makes it an excellent choice for multi-programmer and huge development teams.
- Django, a full and open source web application framework, is powered by Python. Frameworks, such as Ruby on Rails, can make the development process easier.
- Attributed to the reason that it is open source and community-produced, it has a large support base. A countless number of programmers use the language on a regular basis, and the language’s basic functionality is always being improved.
A Quick Beginner’s Guide To Python
Before getting started and taking the path to learning Python, let’s go and see this quick guide we have curated for you to start with the basics that will also help you stay motivated.
1. Understand your motivation to learn Python
It might seem like a small step but it will put all your other goals into alignment. Understanding where your interest lies will help you to make amazing decisions and progress in your chosen field. This will assist you in determining an end goal and a way to get there without getting bored time and again. As you start to give importance to all the options, you don’t need to pick out a particular project, only a general area of interest. Pick an area of interest from what we mentioned above like AI & ML, web development, data analytics, game development, and more.
2. Start with the basic syntax
This stage, however hard to start, cannot be skipped. Before diving deeper into your chosen field, you must first understand the fundamentals of Python syntax. You should spend as little time as possible on this because it isn’t particularly inspiring. We can’t stress enough how important it is to spend as much time as possible on basic syntax. The sooner you begin working on projects, the more quickly you will learn. Later on, if you get stuck, you may always go back to the syntax. You must only spend a few weeks on this stage, and not too much.
3. Develop Structured Projects
You can start developing projects by yourself once you’ve mastered the basic syntax. Projects are a fantastic method to learn since they allow you to put what you’ve learned into practice. It will be difficult to remember your understanding until you put it to use. Projects will help you stretch your abilities, gain new skills, and build a portfolio to present prospective employers.
Also Read | Best Python Projects for Beginners
Nevertheless, really unstructured projects will be painful at this point, as you’ll get trapped frequently and might have to consult the documentation. As a result, it’s generally best to start with more structured tasks until you’re confident enough to build projects entirely on your own. Many educational sites provide structured projects, which allow you to create fascinating things around the topics that interest you while also keeping you from becoming stagnant.
Projects can include:
- A data analysis project
- Mobile application
- Website development
- Games of your choice
You will find resources for each one of these projects on the internet.
4. Start working on your personal Python projects
After you’ve completed several structured tasks, it’s time to start working on your own projects to further your Python knowledge. You’ll still review the information and understand concepts, but you’ll be working on projects that interest you. You should be familiar with debugging bugs and difficulties with your programs before you begin to work on your own projects. You should be familiar with the following resources:
- StackOverflow is a community-based question-and-answer platform where programmers can discuss their problems. Python-specific questions can be found here.
- Every expert programmer’s most often used tool is Google. When trying to fix issues, this tool comes in handy.
- Python documentation is a useful place to go for Python reference information.
You can begin to work on your own projects once you have a firm grasp of debugging issues. Working on topics that interest you is a good idea.
Also Read | Top 10 Python IDEs For Developers In 2021
Easy Python Installation on Windows
We have narrowed down the process of Python insatllation for you ease:
Step 1: Go to the official website of Python and select the version you want.
Step 2: Run the .exe file for the successful installation of Python and click on “Install Now”.
Step 3: You will see the ongoing installation and once it is completed, you will see “Setup was successful” on your screen.
Also Read | Open Source Projects For Beginners
Tech Beginner’s Guide to Python
Now that we have covered the basic guide to learn Python and its installation, let’s move on to understand the tech aspects of Python and what all we must cover.
1. Write the “Hello World” code to start with
We are sure you understand what we are talking about if you’ve knowledge of any other programming language. In the developer community, the “Hello World” application has become something of a tradition. This should be the very first line of code we look for if we wish to grasp any programming language.
2. Begin to learn about variables
Now that we’ve learned the Python “Hello World” program, we’ll move on to mastering Python variables. Variables are similar to containers in that they are used to hold data.
my_var = 100
3. Understand the concept of Data Types and Data Structures
Learning about data types is the next step. There is a lot of misunderstanding between data types and data structures. The most crucial thing to remember is that data types indicate the type of data. In Python, for example, we have int, string, float, and so on. These are known as data types, and they describe the type of information we’re dealing with. Data structures, on the other hand, are in charge of deciding how to store information in a computer’s memory.
4. Begin learning about conditionals and loops
Conditionals and loops are known to be the core of any programming language. Python isn’t an exception to this rule. This is among the most crucial topics for you to grasp.
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Is there a better way to learn Python?
Python’s popularity stems primarily from its simplicity of learning. It’s an easy, type-free programming language that’s simple and clear to pick up. The duration of time it takes to learn Python is determined by the level of proficiency you desire. In addition, based on the individual’s abilities, the learning curve may be long or short.
To understand the fundamentals of Python, it would take 6-8 weeks. The syntax, key words, functions and classes, data types, basic coding, and exception handling will all be covered in this period of time.
Advanced Python knowledge is not required for Python professionals. You can study database programming, socket programming, multithreading, and synchronisation techniques, depending on the nature of your job.
Fundamentals of Data Analytics, hands-on experience with the essential libraries, image processing, and other advanced Python abilities are among the extremely sophisticated Python skills. Each advanced skill would take approximately one week to perfect.
In A Nutshell…
Python, at the end of the day, is continually evolving. Just a few individuals may credibly claim to fully comprehend the language, and they are the ones who invented it.
You’ll need to keep studying and working on projects at all times. If you do it correctly, you’ll be thinking back at your code from six months ago and realizing how bad it is. You’re on the correct course if you’ve made it this far. You’ll never be bored or burned out if you exclusively work on things that fascinate you.
Python is a really interesting and fun language to learn, and we believe that anyone with the right desire can achieve a high degree of expertise in it. So, what are you waiting for? This is your sign to start learning Python and become a pro at it.
Also, did you know that Codersera has been helping companies in hiring highly qualified Python developers? The developers go through a strict process for selection and only then they are hired.