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How To Reverse a String in Python. Learn two methods and find out which is fastest
A string is a sequence of character data. We commonly refer to it as text data. Additionally, strings are iterables, which are enumerables—a data type that can be counted over—that have a structured order as well. Reversing a string means taking the last character and making it the first, second to last becomes second, etc.
Here’s a quick visual example:
name = "Jonathan"
# name in reverse => "nahtanoJ"
So, how do we reverse a string? There are two ways that I’ll cover.
This method involves treating the string as an array of characters, reversing it, and reconstituting it as a string. In other languages, this technique might involve a for
loop to iterate over each index and create a reversed data set. The next step is to take the array and recombine it as a string.
Here’s a JavaScript example to show how this looks within a traditional for
loop.
var name = "Jonathan";
var arr = [];
for(var i=name.length-1; i >= 0; i--) {
arr.push(name[i]);
}
var flipped = arr.join("");
console.log(flipped); // nahtanoJ
What we do here is begin at the highest index and manually count down, populating an array with each character. Finally, we join the array with an empty string as a delimiter, meaning the characters are sequential with nothing between them.
In Python, we don’t have traditional for
loops. It could be recreated using a while
loop, but we’re not going to go that route. Instead, we’ll use the reversed()
function to return a reverse iterator that will be similarly joined by empty strings.
name = "Jonathan"
reversed = "".join(reversed(name))
print(reversed) # nahtanoJ
Notice that .join()
is a member of the string class in the Python implementation.
Slice notation is a technique unique to Python that allows a shorthand notation within an iterable’s square brackets, which then executes a traditional slice.
Slice notation involves two colons and up to three values within the square brackets. The first, middle, and end values—separated by colons—are as follows: [start:stop:step]
By omitting the start and stop positions while passing -1
as the step value, we instruct Python to slice counting backwards and not to stop before the end of the string.
name = "Jonathan"
print(name[::-1]) # nahtanoJ
According to Dan Bader, slice notation is up to seven times faster than the reverse/join technique!
I replicated his test scenarios and yielded similar, but not as dramatic results.
import timeit
def reverse_join(s):
return "".join(reversed(s))
def slice_notation(s):
return s[::-1]
s = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789"
reverse_join_times = timeit.repeat(lambda: reverse_join(s))
slice_notation_times = timeit.repeat(lambda: slice_notation(s))
avg_reverse = sum(reverse_join_times)/len(reverse_join_times)
avg_slice = sum(slice_notation_times)/len(slice_notation_times)
print(avg_reverse) # 1.8536329854000002
print(avg_slice) # 0.38605856120000015
print(avg_reverse / avg_slice) # 4.801429554206191
Do you have another way of reversing a string? Share it and any other thoughts or insights in the comments below!
Thank you for reading !
#Python #Data Science #Development
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No programming language is pretty much as diverse as Python. It enables building cutting edge applications effortlessly. Developers are as yet investigating the full capability of end-to-end Python development services in various areas.
By areas, we mean FinTech, HealthTech, InsureTech, Cybersecurity, and that's just the beginning. These are New Economy areas, and Python has the ability to serve every one of them. The vast majority of them require massive computational abilities. Python's code is dynamic and powerful - equipped for taking care of the heavy traffic and substantial algorithmic capacities.
Programming advancement is multidimensional today. Endeavor programming requires an intelligent application with AI and ML capacities. Shopper based applications require information examination to convey a superior client experience. Netflix, Trello, and Amazon are genuine instances of such applications. Python assists with building them effortlessly.
Python can do such numerous things that developers can't discover enough reasons to admire it. Python application development isn't restricted to web and enterprise applications. It is exceptionally adaptable and superb for a wide range of uses.
Robust frameworks
Python is known for its tools and frameworks. There's a structure for everything. Django is helpful for building web applications, venture applications, logical applications, and mathematical processing. Flask is another web improvement framework with no conditions.
Web2Py, CherryPy, and Falcon offer incredible capabilities to customize Python development services. A large portion of them are open-source frameworks that allow quick turn of events.
Simple to read and compose
Python has an improved sentence structure - one that is like the English language. New engineers for Python can undoubtedly understand where they stand in the development process. The simplicity of composing allows quick application building.
The motivation behind building Python, as said by its maker Guido Van Rossum, was to empower even beginner engineers to comprehend the programming language. The simple coding likewise permits developers to roll out speedy improvements without getting confused by pointless subtleties.
Utilized by the best
Alright - Python isn't simply one more programming language. It should have something, which is the reason the business giants use it. Furthermore, that too for different purposes. Developers at Google use Python to assemble framework organization systems, parallel information pusher, code audit, testing and QA, and substantially more. Netflix utilizes Python web development services for its recommendation algorithm and media player.
Massive community support
Python has a steadily developing community that offers enormous help. From amateurs to specialists, there's everybody. There are a lot of instructional exercises, documentation, and guides accessible for Python web development solutions.
Today, numerous universities start with Python, adding to the quantity of individuals in the community. Frequently, Python designers team up on various tasks and help each other with algorithmic, utilitarian, and application critical thinking.
Progressive applications
Python is the greatest supporter of data science, Machine Learning, and Artificial Intelligence at any enterprise software development company. Its utilization cases in cutting edge applications are the most compelling motivation for its prosperity. Python is the second most well known tool after R for data analytics.
The simplicity of getting sorted out, overseeing, and visualizing information through unique libraries makes it ideal for data based applications. TensorFlow for neural networks and OpenCV for computer vision are two of Python's most well known use cases for Machine learning applications.
Thinking about the advances in programming and innovation, Python is a YES for an assorted scope of utilizations. Game development, web application development services, GUI advancement, ML and AI improvement, Enterprise and customer applications - every one of them uses Python to its full potential.
The disadvantages of Python web improvement arrangements are regularly disregarded by developers and organizations because of the advantages it gives. They focus on quality over speed and performance over blunders. That is the reason it's a good idea to utilize Python for building the applications of the future.
#python development services #python development company #python app development #python development #python in web development #python software development
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Python is awesome, it’s one of the easiest languages with simple and intuitive syntax but wait, have you ever thought that there might ways to write your python code simpler?
In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.
Swapping value in Python
Instead of creating a temporary variable to hold the value of the one while swapping, you can do this instead
>>> FirstName = "kalebu"
>>> LastName = "Jordan"
>>> FirstName, LastName = LastName, FirstName
>>> print(FirstName, LastName)
('Jordan', 'kalebu')
#python #python-programming #python3 #python-tutorials #learn-python #python-tips #python-skills #python-development
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Today you’re going to learn how to use Python programming in a way that can ultimately save a lot of space on your drive by removing all the duplicates.
In many situations you may find yourself having duplicates files on your disk and but when it comes to tracking and checking them manually it can tedious.
Heres a solution
Instead of tracking throughout your disk to see if there is a duplicate, you can automate the process using coding, by writing a program to recursively track through the disk and remove all the found duplicates and that’s what this article is about.
But How do we do it?
If we were to read the whole file and then compare it to the rest of the files recursively through the given directory it will take a very long time, then how do we do it?
The answer is hashing, with hashing can generate a given string of letters and numbers which act as the identity of a given file and if we find any other file with the same identity we gonna delete it.
There’s a variety of hashing algorithms out there such as
#python-programming #python-tutorials #learn-python #python-project #python3 #python #python-skills #python-tips
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Python throws typeerror: can’t multiply sequence by non-int of type ‘float’ when you try to multiply a string with float value. Although you can multiply a string with int value but except that no other type is supported.
We get this situation when we take input from user and do computation over it. The inputs are always in string type, no matter if a digit is entered, it will be treated as string. It’s your job to typecast it to your required type like in this case, its float.
#python #python error #python list #python numpy #python string #python-short
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Edureka Python Certification Training: https://www.edureka.co/python-program…
This Edureka video on ‘Python Strings’ will help you understand how we can use Strings in Python with various methods and operations. Following are the topics discussed:
#python #python strings #strings in python