Rumoured to be a hobby project, something that would keep him up during the Christmas week, Guido van Knopp invented the programming language called Python, which radicalised the world of computer science.
Staying true to its philosophy on giving emphasis on usage of significant whitespace that would enable code readability, Python is a unique programming language, which allows clear and simple programming not only on large scale but for small scale as well.
Moreover, in addition to object-oriented programming it allows two more types of programming as well. They are functional and imperative programming.
Python vs. Java – the eternal debate
The programming gurus of our time might be divided on many issues about these two languages, but everyone has to agree on the fact that both of them bring plenty of pros of their own to the table.
On one hand, there is Java, which enjoys support from nearly every platform but is not recommended for beginners, as it is too difficult and complicated to get one’s head around. A majority of assignment help requests come from students who are studying this particular programming language.
On the other hand, there is Python, which although enjoys the support of only ten platforms, is incredibly simple and lucid to understand.
A major advantage that Java has to offer is the fact that it needs to formulated only once and can executed from nearly everywhere. It also allows the user to run questionable codes in a safe environment. In addition, if you are looking for network-based uses then Java is your first choice.
However, it depends on your plans, and what level of determination, perseverance, and discipline you have to learn either of these two programming languages.
What we personally recommend to beginners is to learn the fundamentals of Python before moving on to Java. This method has proven to be a fruitful experience of many computer science students.
And, if you are still having trouble to handle them you can always take the assistance of an online computer science assignment help service.
Following are some relevant features of Python:
- They are much faster to run, thanks to preciseness.
- Duck typing/Strongly typed.
- Strategic use of whitespace.
- You no longer need large codes to construct a program.
- They are a bit slow to execute. (Probably the only negative aspect of this language!).
- Allows you to assign a particular string to variables, which once held an integer.
- Much – much easier to understand when compared to Java.
- Python does not support too many varieties of platforms.
If you randomly ask any programmer about Python programming language, then the most obvious reply that many would give to you is that it is the programming language of the present and possibly the future as well.
But why you ask?
The answer to this question is simple – it is a versatile language and can be used to formulate websites, design autonomous drones (sounds awesome right?), and machine learning algorithms as well amongst a gamut of other purposes.
Therefore, basically, what we are trying to say here is that it helps you to become a computing Superman of sorts!
However, like with every other programming language the first step towards achieving this awesomeness lies in learning the language. And, this is exactly where students learning the language faces their first hiccup and desperately browses the internet to find programming assignment help (yes guys there are projects in computer sciences as well!).
According to students, what frustrates them about learning this particular programming language is the fact that a majority of the sources of learning are generic in nature. This in turn leads to many of them looking for online computer science assignment help.
Added to that there is the drab and boring period during which one has to learn about the syntax, something that takes away the interest of most of the students.
No wonder why so many of them wonder about in the wilderness looking for programming assignment help!
Just look at a few codes online and you can figure out why is it so intimidating to students.
Therefore, it is justified to say that it is indeed difficult to conclude how and why everything sticks together in Python.
But whatever the reason might be it has to be said that if you are going to be a programmer or coder, then this is a rather better place to start.
Are you a beginner? If so then start off with Python!
Learn Python and earn lucrative salaries!
If you thought Java or C++ was difficult, then you should consider starting off your programming course with Python.
Not only is it more precise and easy to understand there are no long codes required to build a website.
And, needless to say it is one of the youngest languages, as a result of which it is a bit more evolved than the rest.
Plus, in 2016 alone Python programming who are always on high demand, had an average salary of $102,000 (as per Indeed.com).
And you already know about all the cool stuff like constructing websites and data science that Python enables you to do.
Now, let’s shift our focus to AI, shall we?
Here’s why Python should be used for Artificial Intelligence (AI):
To put it bluntly whether it is a MNC or just a regular start-up, Python provides huge benefits for all.
Moreover, Python is a highly developed language and if you think you can restrict its usage to one aspect then you are way off-track.
Its popularity has grown manifolds over the last decade and its future only seems brighter as it entered the realm of AI, Machine learning, Data Science, etc. And here lies the million dollar question as to why Python is getting so much leverage in the realm of AI.
Here are some the reasons:
- Fewer Code
AI requires a lot of coding in order to function smoothly. While Python stands out from amongst its competitors in terms of ease of learning and testing.
Therefore, it can be easily concluded that Python can be used to simplify the coding process.
- Prebuilt libraries
Python language has plenty of pre-built libraries for every kind of AI projects, like Numpy for scientific computing, Pybrain for Machine Learning to name a few.
It has a huge resource base that can help any develop to get up to speed.
If you have not heard of Python then you must have been living under a rock! Not only is it the language of the present but for the future as well.
As AI in itself is a very complex subject to get one’s head around, the simple coding of Python makes it a joyful learning experience.
Python allows you to build some really cool things!
Everything that other prominent languages like Java, C++, or Ruby can build, can be done using Python as well.
It allows you to build crawlers, parts of apps for Android devices, data analytics, build messaging bots, interact with and build your very own APIs, language processing, and web scrapers as well.
Python’s huge standard library provides the users with a variety of tools that can be used for various purposes.
It is one of Python’s greatest strengths, and as per the Python Package Index of March this year (2018), it has more than 1,30,000 packages that has various functions like:
- Image processing
- Graphical User Interface or GUIs
- Web frameworks
- Test frameworks
- Web scraping
- Scientific computing
- System administration
- Text processing
However, despite all of this cool terms and possibilities, it needs learning never the less, no matter how much easier it is compared to other computing languages.
- Find out your motivation
Spoiler Alert: YOU CANNOT LEARN PROGRAMMING ON A WHIM!
So, yes, make up your mind, before applying for a course, although you are bound to get assignment help online. Firstly, ask yourself this – “Why do I want to learn Python?”
This might take some time, but when you do find the reason why you want to learn it, the motivation will come from within yourself.
Always remember – there is nothing in this world that can be done without motivation!
You might find attending classes on syntax to be extremely boring, and might very well decide to take the help of computer science assignment help services available online. Whereas, when you get the opportunity to build a website using Python, you might very well find yourself staying up for a night or so.
Similarly, when you get your motivation, you will be able to follow a goal, something that will truly keep you excited about learning new things.
You have already seen what Python allows you to build. There is no need to focus on a particular project. Just focus on what interests you.
It can games, Machine learning, apps or anything else.
Figure it out and strictly adhere to your interests. This way your learning process will revolve around those topics and you will be able to build projects on them.
- No Pain No Gain – so bear the boredom of Syntax learning!
Yes, guys, no matter how much you dread it, you have to go through this step, if you are really interested to learn Python then must go through this process.
Before you decide to delve into the deeper aspects of your area of interest, it is imperative that you at least have the fundamentals of Python syntax in your head.
At least try to make it a point to understand 40% of the material that you get from online tutorials. Following are some examples which students follow to go through this “trial by fire”:
- Learn Python The Hard Way – A common resource for many students, it is an excellent source as it is an excellent source as it slowly takes you through the basics to the more in-depth topics.
- TutorialsPoint.com – The best choice for you if you want to learn from the scratch.
- Google’s Python Class – It is a free e-book, meant for those who are in the intermediate stage of their learning.
- Code Academy – Hands down the best interactive tutorial for beginners.
- Python.org – This official guide takes you through the world of Python and covers anything that is new.
However, do not spend too much time learning syntax. It is preferred that you do not spend more than a couple of months. Get it over with within that time and start working on projects as it is the best way to learn.
- Focus more on making structured projects
This is because, you will and most definitely bound to get stuck once you get started on working on projects. It might become a nightmare if you have applied for a course; in which case it would be a wise decision to take computer science assignment help service.
Getting back to the point, once you have passed through the phase of learning syntax, you will be itching to start your working on a project.
And, this is a good sign, since you will be able to apply what you have learned. It will help you to push yourself to the limits and force you to learn new things.
However, as already mentioned, you will face difficulties in the beginning. This is why experts recommend that you start with structured projects which will make you feel more at ease.
- Start working on your own projects
Okay, so it is time to move on from structured projects. You have done a few of them and by now you should be more than ready to start working on your own projects.
Although you will still need to learn from resources and refer to them from time to time, but now is the time to start working on what you really feel is your area of interest.
But, before diving straight into it check for yourself whether you are able to debug errors from your previous projects.
Resources like Python Documentation, Stack Overflow, and Google will be of great help to you during this phase.
Once you are over that phase then you should be fully confident to start working on your own projects – something that you have always wanted.
Here is how you can find projects that interest you:
- Talk with experienced people, and find out how they stumbled on their area of interest.
- Visit various meetups, and look at what people are working on.
- See if someone is looking for voluntary development services in the area of your interest.
- Spend time on Google; you are sure to find something that will be of interest to you.
- Increase the scope of your work
Motivate yourself to work on harder projects. Until and unless you test yourself you will never be able to understand how far you have come.
You can follow steps like:
- Teaching someone who wishes to learn Python.
- Telling them how to approach building a project.
- Putting an effort in making your program run faster.
- Checking out whether you have built something has any commercial value.
- Trying upgrading your tools, so that it can function with more data.
Python, like all programming languages, is evolving all the time. Therefore, it is imperative that you keep on learning.
In reality, no one can demand that they know everything about Python. The only thing that a person can do is work on his or her techniques so that they can become more efficient with the language.
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