Python is a widely-used, interpreted, object-oriented, and high-level programming language with dynamic semantics, used for general-purpose programming. It was created by Guido van Rossum, and first released on February 20, 1991.
While you may know python as a large snake, the name of the Python programming language comes from an old BBC television comedy sketch series called Monty Python’s Flying Circus.
One of the amazing features of Python is the fact that it is one person’s work. Usually, new programming languages are developed and published by large companies employing lots of professionals, and due to copyright rules, it is very hard to name any of the people involved in the project. Python is an exception.
Of course, van Rossum did not develop and evolve all the Python components himself. The speed with which Python has spread around the world is a result of the continuous work of thousands (very often anonymous) programmers, testers, users (many of them aren’t IT specialists), and enthusiasts, but it must be said that the very first idea (the seed from which Python sprouted) came to one head – Guido’s.
Python Web Development may be described as a chain of methods accompanied for the creation of a web-primarily based application. Python is one of the well-known item-oriented programming languages used to increase an internet-based application or a website. Coding in python is quite trustworthy, which makes it easy to study and exercise even for a green individual. Some splendid python internet improvement features are pre-described functions and strategies for nearly all often used operations. The manipulation of facts is bendy using facts-associated capabilities like listing, collections, and dictionaries. The built-in library is whole to fulfill the combination features, and so on.
Python is used anywhere. There may be rarely any programmer who does not know the significance of python web improvement to be more accurate. Google uses it in maintaining its database. Difficult coders use it in mixture with Linux because it’s extremely like-minded with Linux, and you can even cross-create a program written half in bash and 1/2 in python. Except creating databases, it's far used for creating excessive-cease games, for creating CGI effects in movies and animations.
If you suppose this is it, it’s now not. It’s even used for growing gnome applications, for automated obligations in Unix and Linux. The purpose for python net development being so explicitly used is due to the fact it's miles extraordinarily user-friendly. It’s additionally easy for a beginner to understand a code written in python because it has a specific format wherein it wishes to be written.
Not like ruby or Perl, python wishes to be coded properly. When you have any enjoyment in ruby or Perl, then you understand it may be a multitude because it’s an exceptionally forgiving language. But it’s no longer the same within the case of python. Python desires to be indented in the right manner. This is the motive all Perl web applications are being replaced with the aid of python nowadays.
Maximum probably, by using the quit of this decade, Perl might be replaced by python. Here is an instance I have written to calculate compound hobby in each python and Perl. Mess yourself up and take a look at which one do you locate simpler.
So, before I proceed, Compound interest is that type of interest that accrues over some time on the initial amount and the accumulated interest of a principal deposited. In Compound interest, interest grows faster than Simple Interest. The following is the basic formula for calculating Compound Interest:
Compound Interest = Principal (1+ Interest/100)^Period
In the following code:
>>>print ': Compound Interest :'
amount = input('Enter the principal amount')
amount = float(amount)
rate = input('Enter rate percentage')
x = input('Press \'1\' for duration of time in days \n\'2\' for time in months and \n\'3\' for time in years\n')
if(x == 1):
time = input('Enter number of days')
time = time /(12*30)
elif(x == 2):
time = input('Enter number of months')
time = time / 12
time = input(' Enter number of years')
total_amount = (amount * (1 + (float(rate)/100))**time)
print('\nTotal Amount is %f' %total_amount)
compound_interest = total_amount - amount
print('\nCompound Interest = %f' %compound_interest)
print('\nTotal amount = %f' %total_amount)
Perl is for high performance, high-level decoding, and dynamic programming language. Let us look at the codes below.
print “The principal amount is $principal\n”;
print “The annual interest rate is $percent percent\n”;
print “The time duration of the investment is $time\n\n”;
print “The future value of the investment is $futurevalue\n\n”;
So, it may seem Perl's code is smaller than python's, but python is much easier to understand. And there are other ways in which it can be written in a much more compact way. Thus Python exceeds Perl in every other way.
Now you may be thinking; maybe I have gone off-topic just to describe the importance of python. Nope, I didn’t. Previously Perl was the most used language, even on the web. Today, Python has been replaced, and I just wanted to convey my message about the same.
And now, it’s about time that we see how python has squeezed the web in the past One Decade.
The hardest part is using C as a beginner language. If you are a noob, 90% of the C stuff will go over and above your head. And, by the time you understand the basics in C, the other person will already have learned python, ruby, and Perl. Yeah! I am not exaggerating. It is the truth. And this is how Python came up to the top.
So now we know how python made its place in the top position in developing web applications. Let’s take a deeper look at that. Following are some of the most important features that make python more flexible and sustainable for the long term in real day life:
> a, b = 1, 2
>>> a, b = b, a
>>> a = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] >>> a[-4: -2] [7, 8]
>>> a = [0, 1, 2, 3, 4, 5] >>> LASTTHREE = slice(-3, None)
slice(-3, None, None)
>>> a[LASTTHREE] [3, 4, 5]
>>> from itertools import islice
>>> def n_grams(a, n):
... z = (islice(a, i, None) for i in range(n))
... return zip(*z)
>>> a = [1, 2, 3, 4, 5, 6] >>> n_grams(a, 3)
[(1, 2, 3), (2, 3, 4), (3, 4, 5), (4, 5, 6)] >>> n_grams(a, 2)
[(1, 2), (2, 3), (3, 4), (4, 5), (5, 6)] >>> n_grams(a, 4)
[(1, 2, 3, 4), (2, 3, 4, 5), (3, 4, 5, 6)]
>>> g = (x ** 2 for x in xrange(10))
>>> sum(x ** 3 for x in xrange(10))
>>> sum(x ** 3 for x in xrange(10) if x % 3 == 1)
>>> last_three = collections.deque(maxlen=3)
>>> for i in xrange(10):
... print ', '.join(str(x) for x in last_three)
0, 1, 2
1, 2, 3
2, 3, 4
3, 4, 5
4, 5, 6
5, 6, 7
6, 7, 8
7, 8, 9
Now, these are some of the most basic but important knows to stuff which you would be using most of the timing to make your programs efficient and compact. Besides, if you are trying to make python work with the web, then here are some important points you might consider gathering information on:
So, above are my experiences shared with you guys in detail. And trust me when I say Django is the best and widely used. If you know Django, then I don’t think there would be a need to learn TurboGears, the reason being Django covers every aspect of TurboGears and might probably even replace Turbo in a few years.
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