Jason Thomas

Jason Thomas

1564198101

Python for Loop Implementation

Learn how to implement For Loops in Python for iterating a sequence, or the rows and columns of a pandas dataframe.

Introduction

Like other programming languages, for loops in Python are a little different in the sense that they work more like an iterator and less like a for keyword. In Python, there is not C like syntax for(i=0; i<n; i++) but you use for in n.

They can be used to iterate over a sequence of a list, string, tuple, set, array, data frame.

Given a list of elements, for loop can be used to iterate over each item in that list and execute it.

To iterate over a series of items For loops use the range function. The range function returns a new list with numbers of that specified range based on the length of the sequence.

While iterating over a sequence you can also use the index of elements in the sequence to iterate, but the key is first to calculate the length of the list and then iterate over the series within the range of this length.

The for loops in Python are zero-indexed.

Let’s quickly jump onto the implementation part of it.

Implementing Loops

To start with, let’s print numbers ranging from 1-10. Since the for loops in Python are zero-indexed you will need to add one in each iteration; otherwise, it will output values from 0-9.

for i in range(10):
    print (i+1)

1
2
3
4
5
6
7
8
9
10


Let’s iterate over a string of a word Datacamp using for loop and only print the letter a.

for i in "Datacamp":
    if i == 'a':
        print (i)


a 
a 
a

Let’s say you want to define a list of elements and iterate over those elements one by one.

sequence = [1,2,8,100,200,'datacamp','tutorial'] 

for i in sequence:
    print (i)


1
2
8
100
200
datacamp
tutorial


But what if you want to find the length of the list and then iterate over it? You will use the in-built len function for it and then on the length output you will apply range.

Remember, the range always expects an integer value.

for i in range(len(sequence)):
    print (sequence[i])


1
2
8
100
200
datacamp
tutorial


Great! But why do you need to use the len function when you can directly use for i in numbers? The answer is simple. What if you would like to modify or work with the indices of the sequence like changing the element of an existing list, then you would need range(len(sequence)).

for i in range(len(sequence)):
    element = sequence[i]
    if type(element) == int:
        sequence[i] = element + 4


sequence

5, 6, 12, 104, 204, 'datacamp', 'tutorial']

Cool, isn’t it? You were able to modify the elements of the list based on the if condition.

Let’s now see how you can print odd numbers between 1 - 20. To accomplish this, you will have to define three things in the range function. The starting point, the ending point and the increment value (or steps) at which the loop will increment over the numbers 1 - 20.

for i in range(1,20,2):
    print (i)

1
3
5
7
9
11
13
15
17
19

Nested For loop

for i in range(11):
    for j in range(i):
        print (i, end=' ')
    print()

1
2 2
3 3 3
4 4 4 4
5 5 5 5 5
6 6 6 6 6 6
7 7 7 7 7 7 7
8 8 8 8 8 8 8 8
9 9 9 9 9 9 9 9 9
10 10 10 10 10 10 10 10 10 10

For loop to iterate over rows and columns of a dataframe

import pandas as pd 

iris = pd.read_csv('https://raw.githubusercontent.com/mwaskom/seaborn-data/master/iris.csv')

iris.head()

len(iris)

150

for i in range(len(iris)):
    Class = iris.iloc[i,4]
    if Class == 'versicolor' and i < 70:
        print (Class)


versicolor
versicolor
versicolor
versicolor
versicolor
versicolor
versicolor
versicolor
versicolor
versicolor
versicolor
versicolor
versicolor
versicolor
versicolor
versicolor
versicolor
versicolor
versicolor
versicolor


Next, let’s add two to every row of columns sepal_length,sepal_width, petal_length and petal_width.

columns = ['sepal_length','sepal_width','petal_length','petal_width'] 

for indices, row in iris.iterrows():
    for column in columns:
        iris.at[indices,column] = row[column] + 2


iris.head()

Iterating over a sequence with Lambda function

Python’s lambda function is fast and powerful as compared to the basic for loop. It is widely used, especially when dealing with Dataframes. You can process your data with the help of Lambda function with very little code. Although, it sometimes becomes difficult to understand it.

x = [20, 30, 40, 50, 60] 
y = [] 

for v in x :
    y += [v * 5]


y

[100, 150, 200, 250, 300]

Now, let’s try this with a lambda and map function.

Map takes in a function, for example, a lambda function and a sequence x and then returns a new sequence.

y = map(lambda x: x * 5,x) 

y

<map at 0x11be7cc88>

It returns a generator function and to get the output from the generator; you pass the output as an argument to list.

list(y) 

[100, 150, 200, 250, 300]

Now, let’s take a step back and look at both the for loop way and lambda/map() combination. You will notice that the difference between the two is adding map, lambda, and removal of “for” and “in”. And also, within one line, you were able to code it.

Conclusion

Congratulations on finishing this basic Python For loop tutorial.

For loops are the backbone of every programming language and when it is Python, using For loops are not at all hard to code, and they are similar in spirit to writing an English sentence.

#python

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Python for Loop Implementation
Ray  Patel

Ray Patel

1619518440

top 30 Python Tips and Tricks for Beginners

Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.

1) swap two numbers.

2) Reversing a string in Python.

3) Create a single string from all the elements in list.

4) Chaining Of Comparison Operators.

5) Print The File Path Of Imported Modules.

6) Return Multiple Values From Functions.

7) Find The Most Frequent Value In A List.

8) Check The Memory Usage Of An Object.

#python #python hacks tricks #python learning tips #python programming tricks #python tips #python tips and tricks #python tips and tricks advanced #python tips and tricks for beginners #python tips tricks and techniques #python tutorial #tips and tricks in python #tips to learn python #top 30 python tips and tricks for beginners

Ray  Patel

Ray Patel

1619510796

Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map

Shardul Bhatt

Shardul Bhatt

1626775355

Why use Python for Software Development

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. 

5 Reasons to Utilize Python for Programming Web Apps 

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.

Summary

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

August  Larson

August Larson

1624331040

Python For Loop (with Examples)

A Python tutorial to understand the uses of for loop in various ways including examples.

Python is a general-purpose programming language, which emphasizes making programming easy, efficient coding, and unleashes the user’s potential. Loops are the vital part of programming as it allows the user to repetitive use a set of codes using loops. So in the following article, we will see how to use for loops in python.

FOR Loop:

Till the iteration of the last item in the sequence, for loop run the instructions. It iterates over sets of instructions in sequence, arrays, and a tuple for a pre-defined period or until the last item and calculation are executed.

For loop can be categorized in three ways.

  1. Traditional for loop – It is usually used in programming language and contains three parts of a loop, i.e., initialization, condition, increment/decrement.
  2. Iterator/collection-based for loop – It is used for the iteration of objects and collections instead of numbers.
  3. Vectorize for loop – It is used to iterate parallel arrays simultaneously.

#python #for loop #loops #loop #python for loop

Osiki  Douglas

Osiki Douglas

1625170860

Python while Loop with Examples

Python is a renowned general-purpose programming language. Unlike HTML or CSS, general-purpose programming languages are used in several application domains.

In programming languages, loops are a set of instructions that execute a sequence of code continuously until a certain condition is fulfilled. Most modern programming languages do include the concept of loops. The syntax for loops in each language may differ but the logic being used remains the same.

Many programming languages have several types of loops and the most renowned ones are while and for loop. Today we will only learn about while loop and where it should be preferred over other kinds of loops.

In most cases loops are interchangeable with each other but while loop should be preferred over other loops when the required condition is boolean. We can think of a while loop as a repeating if statement, to make the concept easier to understand.

#python #loop #while #python while loop with examples #python while loop