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Python es un lenguaje versátil y flexible; a menudo hay más de una forma de lograr algo.
En este tutorial, verá algunas de las formas en que puede imprimir una cadena y una variable juntas.
¡Empecemos!
print()
función en PythonPara imprimir cualquier cosa en Python, se utiliza la print()
función - que es la print
palabra clave seguida de un conjunto de apertura y cierre de paréntesis, ()
.
#how to print a string
print("Hello world")
#how to print an integer
print(7)
#how to print a variable
#to just print the variable on its own include only the name of it
fave_language = "Python"
print(fave_language)
#output
#Hello world
#7
#Python
Si omite los paréntesis, obtendrá un error:
print "hello world"
#output after running the code:
#File "/Users/dionysialemonaki/python_articles/demo.py", line 1
# print "hello world"
# ^^^^^^^^^^^^^^^^^^^
#SyntaxError: Missing parentheses in call to 'print'. Did you mean print(...)?
Si escribe su código Python en Visual Studio Code, con la extensión Python , también obtendrá un subrayado y una pista que indican que algo no está del todo bien:
Como se mencionó anteriormente, la declaración de impresión se utiliza para generar todo tipo de información. Esto incluye datos textuales y numéricos, variables y otros tipos de datos.
También puede imprimir texto (o cadenas) combinado con variables, todo en una declaración.
Verá algunas de las diferentes formas de hacer esto en las secciones siguientes.
Concatenar, según el diccionario, significa enlazar (cosas) juntas en una cadena o serie.
Esto se hace mediante la adición de varias cosas (en este caso la programación - se añaden datos), junto con otros, utilizando el operador de suma Python, +
.
Tenga en cuenta que la concatenación solo se usa para cadenas, por lo que si la variable que desea concatenar con el resto de las cadenas es de un tipo de datos entero, tendrá que convertirla en una cadena con la str()
función.
En el siguiente ejemplo, quiero imprimir el valor de una variable junto con algún otro texto.
Agrego las cadenas entre comillas dobles y el nombre de la variable sin rodearlo, usando el operador de suma para encadenarlos todos juntos:
fave_language = "Python"
print("I like coding in " + fave_language + " the most")
#output
#I like coding in Python the most
Con la concatenación de cadenas, debe agregar espacios usted mismo, por lo que si en el ejemplo anterior no hubiera incluido ningún espacio entre las comillas, la salida se vería así:
fave_language = "Python"
print("I like coding in" + fave_language + "the most")
#output
#I like coding inPythonthe most
Incluso puede agregar los espacios por separado:
fave_language = "Python"
print("I like coding in" + " " + fave_language + " " + "the most")
#output
#I like coding in Python the most
Esta no es la forma más preferida de imprimir cadenas y variables, ya que puede ser propensa a errores y consumir mucho tiempo.
Puede imprimir texto junto a una variable, separados por comas, en una declaración de impresión.
first_name = "John"
print("Hello",first_name)
#output
#Hello John
En el ejemplo anterior, primero incluí un texto que quería imprimir entre comillas dobles; en este caso, el texto era la cadena Hello
.
Después de las comillas de cierre, agregué una coma que separa ese fragmento de texto del valor contenido en el nombre de la variable ( first_name
en este caso) que luego incluí.
Podría haber agregado más texto siguiendo la variable, así:
first_name = "John"
print("Hello",first_name,"good to see you")
#output
#Hello John good to see you
Este método también funciona con más de una variable:
first_name = "John"
last_name = "Doe"
print("Hello",first_name,last_name,"good to see you")
#output
Hello John Doe good to see you
Asegúrate de separar todo con una coma.
Entonces, separa el texto de las variables con una coma, pero también las variables de otras variables, como se muestra arriba.
Si no se hubiera agregado la coma entre first_name
y last_name
, el código habría arrojado un error:
first_name = "John"
last_name = "Doe"
print("Hello",first_name last_name,"good to see you")
#output
#File "/Users/dionysialemonaki/python_articles/demo.py", line 4
# print("Hello",first_name last_name,"good to see you")
# ^^^^^^^^^^^^^^^^^^^^
#SyntaxError: invalid syntax. Perhaps you forgot a comma?
Como puede ver, los mensajes de error de Python son extremadamente útiles y facilitan un poco el proceso de depuración :)
Utiliza el formato de cadena al incluir un conjunto de llaves de apertura y cierre {}
, en el lugar donde desea agregar el valor de una variable.
first_name = "John"
print("Hello {}, hope you're well!")
En este ejemplo hay una variable, first_name
.
Dentro de la declaración impresa hay un conjunto de comillas dobles de apertura y cierre con el texto que debe imprimirse.
Dentro de eso, agregué un conjunto de llaves en el lugar donde quiero agregar el valor de la variable first_name
.
Si intento ejecutar este código, tendrá el siguiente resultado:
#output
#Hello {}, hope you're well!
¡En realidad, no imprime el valor de first_name
!
Para imprimirlo, necesito agregar el .format()
método de cadena al final de la cadena, que es inmediatamente después de las comillas de cierre:
first_name = "John"
print("Hello {}, hope you're well!".format(first_name))
#output
#Hello John, hope you're well!
Cuando hay más de una variable, usa tantas llaves como la cantidad de variables que desee imprimir:
first_name = "John"
last_name = "Doe"
print("Hello {} {}, hope you're well!")
En este ejemplo, he creado dos variables y quiero imprimir ambas, una después de la otra, así que agregué dos juegos de llaves en el lugar donde quiero que se sustituyan las variables.
Ahora, cuando se trata del .format()
método, importa el orden en el que coloque los nombres de las variables.
Entonces, el valor del nombre de la variable que se agregará primero en el método estará en el lugar de la primera llave, el valor del nombre de la variable que se agregará en segundo lugar estará en el lugar de la segunda llave, y pronto.
Asegúrese de separar los nombres de las variables con comas dentro del método:
first_name = "John"
last_name = "Doe"
print("Hello {} {}, hope you're well!".format(first_name,last_name))
#output
#Hello John Doe, hope you're well!
Si hubiera invertido el orden de los nombres dentro del método, la salida se vería diferente:
first_name = "John"
last_name = "Doe"
print("Hello {} {}, hope you're well!".format(last_name,first_name))
#output
#Hello Doe John, hope you're well!
f-strings
f-strings
son una forma mejor, más legible y concisa de lograr el formato de cadena en comparación con el método que vimos en la sección anterior.
La sintaxis es más sencilla y requiere menos trabajo manual.
La sintaxis general para crear un se f-string
ve así:
print(f"I want this text printed to the console!")
#output
#I want this text printed to the console!
Primero incluye el carácter f
antes de las comillas de apertura y cierre, dentro de la print()
función.
Para imprimir una variable con una cadena en una línea, vuelva a incluir el carácter f
en el mismo lugar, justo antes de las comillas.
Luego agrega el texto que desea dentro de las comillas, y en el lugar donde desea agregar el valor de una variable, agrega un conjunto de llaves con el nombre de la variable dentro de ellas:
first_name = "John"
print(f"Hello, {first_name}!")
#output
#Hello, John!
Para imprimir más de una variable, agrega otro conjunto de llaves con el nombre de la segunda variable:
first_name = "John"
last_name = "Doe"
print(f"Hello, {first_name} {last_name}!")
#output
#Hello, John Doe!
El orden en que coloque los nombres de las variables es importante, así que asegúrese de agregarlos de acuerdo con la salida que desee.
Si hubiera invertido el orden de los nombres, obtendría el siguiente resultado:
first_name = "John"
last_name = "Doe"
print(f"Hello, {last_name} {first_name}!")
#output
#Hello, Doe John!
¡Gracias por leer y llegar hasta el final! Ahora conoce algunas formas diferentes de imprimir cadenas y variables juntas en una línea en Python.
Si desea obtener más información sobre Python, consulte la Certificación Python de freeCodeCamp .
Es adecuado para principiantes, ya que comienza desde los fundamentos y se construye gradualmente hacia conceptos más avanzados. También podrás construir cinco proyectos y poner en práctica todos los nuevos conocimientos que adquieras.
¡Feliz codificación!
https://www.freecodecamp.org/news/python-print-variable-how-to-print-a-string-and-variable/
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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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At the end of 2019, Python is one of the fastest-growing programming languages. More than 10% of developers have opted for Python development.
In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.
Table of Contents hide
III Built-in data types in Python
The Size and declared value and its sequence of the object can able to be modified called mutable objects.
Mutable Data Types are list, dict, set, byte array
The Size and declared value and its sequence of the object can able to be modified.
Immutable data types are int, float, complex, String, tuples, bytes, and frozen sets.
id() and type() is used to know the Identity and data type of the object
a**=25+**85j
type**(a)**
output**:<class’complex’>**
b**={1:10,2:“Pinky”****}**
id**(b)**
output**:**238989244168
a**=str(“Hello python world”)****#str**
b**=int(18)****#int**
c**=float(20482.5)****#float**
d**=complex(5+85j)****#complex**
e**=list((“python”,“fast”,“growing”,“in”,2018))****#list**
f**=tuple((“python”,“easy”,“learning”))****#tuple**
g**=range(10)****#range**
h**=dict(name=“Vidu”,age=36)****#dict**
i**=set((“python”,“fast”,“growing”,“in”,2018))****#set**
j**=frozenset((“python”,“fast”,“growing”,“in”,2018))****#frozenset**
k**=bool(18)****#bool**
l**=bytes(8)****#bytes**
m**=bytearray(8)****#bytearray**
n**=memoryview(bytes(18))****#memoryview**
Numbers are stored in numeric Types. when a number is assigned to a variable, Python creates Number objects.
#signed interger
age**=**18
print**(age)**
Output**:**18
Python supports 3 types of numeric data.
int (signed integers like 20, 2, 225, etc.)
float (float is used to store floating-point numbers like 9.8, 3.1444, 89.52, etc.)
complex (complex numbers like 8.94j, 4.0 + 7.3j, etc.)
A complex number contains an ordered pair, i.e., a + ib where a and b denote the real and imaginary parts respectively).
The string can be represented as the sequence of characters in the quotation marks. In python, to define strings we can use single, double, or triple quotes.
# String Handling
‘Hello Python’
#single (') Quoted String
“Hello Python”
# Double (") Quoted String
“”“Hello Python”“”
‘’‘Hello Python’‘’
# triple (‘’') (“”") Quoted String
In python, string handling is a straightforward task, and python provides various built-in functions and operators for representing strings.
The operator “+” is used to concatenate strings and “*” is used to repeat the string.
“Hello”+“python”
output**:****‘Hello python’**
"python "*****2
'Output : Python python ’
#python web development #data types in python #list of all python data types #python data types #python datatypes #python types #python variable type
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This blog is part of a series of tutorials called Data in Day. Follow these tutorials to create your first end-to-end data science project in just one day. This is a fun easy project that will teach you the basics of setting up your computer for a data science project and introduce you to some of the most popular tools available. It is a great way to get acquainted with the data science workflow.
Created by Dutch programmer Guido van Rossum at Centrum Wiskunde & Informatica, Python made its debut in 1991. Over thirty years it has gained popularity earned a reputation of being the “Swiss army knife of programming languages.” Here are a few reasons why:
In emerging fields like data science, artificial intelligence, and machine learning, a robust community, plenty of packages, paradigm flexibility, and syntactical simplicity, allow beginners and professionals to focus on insights and innovation.
#python3 #variables-in-python #data-types-in-python #operators-in-python #python #python i: data types and operators, variable assignment, and print()
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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