1626728040
#stubborndevelopers
In this video, we will learn that how we can use any external/weather API in Node.js. Also we will learn below points:
1)How we can create free Weather API?
2) How can we call any external api using requests package in Node js?
2) How can we call any external api using axios package in Node js?
#api #node.js
1655630160
Install via pip:
$ pip install pytumblr
Install from source:
$ git clone https://github.com/tumblr/pytumblr.git
$ cd pytumblr
$ python setup.py install
A pytumblr.TumblrRestClient
is the object you'll make all of your calls to the Tumblr API through. Creating one is this easy:
client = pytumblr.TumblrRestClient(
'<consumer_key>',
'<consumer_secret>',
'<oauth_token>',
'<oauth_secret>',
)
client.info() # Grabs the current user information
Two easy ways to get your credentials to are:
interactive_console.py
tool (if you already have a consumer key & secret)client.info() # get information about the authenticating user
client.dashboard() # get the dashboard for the authenticating user
client.likes() # get the likes for the authenticating user
client.following() # get the blogs followed by the authenticating user
client.follow('codingjester.tumblr.com') # follow a blog
client.unfollow('codingjester.tumblr.com') # unfollow a blog
client.like(id, reblogkey) # like a post
client.unlike(id, reblogkey) # unlike a post
client.blog_info(blogName) # get information about a blog
client.posts(blogName, **params) # get posts for a blog
client.avatar(blogName) # get the avatar for a blog
client.blog_likes(blogName) # get the likes on a blog
client.followers(blogName) # get the followers of a blog
client.blog_following(blogName) # get the publicly exposed blogs that [blogName] follows
client.queue(blogName) # get the queue for a given blog
client.submission(blogName) # get the submissions for a given blog
Creating posts
PyTumblr lets you create all of the various types that Tumblr supports. When using these types there are a few defaults that are able to be used with any post type.
The default supported types are described below.
We'll show examples throughout of these default examples while showcasing all the specific post types.
Creating a photo post
Creating a photo post supports a bunch of different options plus the described default options * caption - a string, the user supplied caption * link - a string, the "click-through" url for the photo * source - a string, the url for the photo you want to use (use this or the data parameter) * data - a list or string, a list of filepaths or a single file path for multipart file upload
#Creates a photo post using a source URL
client.create_photo(blogName, state="published", tags=["testing", "ok"],
source="https://68.media.tumblr.com/b965fbb2e501610a29d80ffb6fb3e1ad/tumblr_n55vdeTse11rn1906o1_500.jpg")
#Creates a photo post using a local filepath
client.create_photo(blogName, state="queue", tags=["testing", "ok"],
tweet="Woah this is an incredible sweet post [URL]",
data="/Users/johnb/path/to/my/image.jpg")
#Creates a photoset post using several local filepaths
client.create_photo(blogName, state="draft", tags=["jb is cool"], format="markdown",
data=["/Users/johnb/path/to/my/image.jpg", "/Users/johnb/Pictures/kittens.jpg"],
caption="## Mega sweet kittens")
Creating a text post
Creating a text post supports the same options as default and just a two other parameters * title - a string, the optional title for the post. Supports markdown or html * body - a string, the body of the of the post. Supports markdown or html
#Creating a text post
client.create_text(blogName, state="published", slug="testing-text-posts", title="Testing", body="testing1 2 3 4")
Creating a quote post
Creating a quote post supports the same options as default and two other parameter * quote - a string, the full text of the qote. Supports markdown or html * source - a string, the cited source. HTML supported
#Creating a quote post
client.create_quote(blogName, state="queue", quote="I am the Walrus", source="Ringo")
Creating a link post
#Create a link post
client.create_link(blogName, title="I like to search things, you should too.", url="https://duckduckgo.com",
description="Search is pretty cool when a duck does it.")
Creating a chat post
Creating a chat post supports the same options as default and two other parameters * title - a string, the title of the chat post * conversation - a string, the text of the conversation/chat, with diablog labels (no html)
#Create a chat post
chat = """John: Testing can be fun!
Renee: Testing is tedious and so are you.
John: Aw.
"""
client.create_chat(blogName, title="Renee just doesn't understand.", conversation=chat, tags=["renee", "testing"])
Creating an audio post
Creating an audio post allows for all default options and a has 3 other parameters. The only thing to keep in mind while dealing with audio posts is to make sure that you use the external_url parameter or data. You cannot use both at the same time. * caption - a string, the caption for your post * external_url - a string, the url of the site that hosts the audio file * data - a string, the filepath of the audio file you want to upload to Tumblr
#Creating an audio file
client.create_audio(blogName, caption="Rock out.", data="/Users/johnb/Music/my/new/sweet/album.mp3")
#lets use soundcloud!
client.create_audio(blogName, caption="Mega rock out.", external_url="https://soundcloud.com/skrillex/sets/recess")
Creating a video post
Creating a video post allows for all default options and has three other options. Like the other post types, it has some restrictions. You cannot use the embed and data parameters at the same time. * caption - a string, the caption for your post * embed - a string, the HTML embed code for the video * data - a string, the path of the file you want to upload
#Creating an upload from YouTube
client.create_video(blogName, caption="Jon Snow. Mega ridiculous sword.",
embed="http://www.youtube.com/watch?v=40pUYLacrj4")
#Creating a video post from local file
client.create_video(blogName, caption="testing", data="/Users/johnb/testing/ok/blah.mov")
Editing a post
Updating a post requires you knowing what type a post you're updating. You'll be able to supply to the post any of the options given above for updates.
client.edit_post(blogName, id=post_id, type="text", title="Updated")
client.edit_post(blogName, id=post_id, type="photo", data="/Users/johnb/mega/awesome.jpg")
Reblogging a Post
Reblogging a post just requires knowing the post id and the reblog key, which is supplied in the JSON of any post object.
client.reblog(blogName, id=125356, reblog_key="reblog_key")
Deleting a post
Deleting just requires that you own the post and have the post id
client.delete_post(blogName, 123456) # Deletes your post :(
A note on tags: When passing tags, as params, please pass them as a list (not a comma-separated string):
client.create_text(blogName, tags=['hello', 'world'], ...)
Getting notes for a post
In order to get the notes for a post, you need to have the post id and the blog that it is on.
data = client.notes(blogName, id='123456')
The results include a timestamp you can use to make future calls.
data = client.notes(blogName, id='123456', before_timestamp=data["_links"]["next"]["query_params"]["before_timestamp"])
# get posts with a given tag
client.tagged(tag, **params)
This client comes with a nice interactive console to run you through the OAuth process, grab your tokens (and store them for future use).
You'll need pyyaml
installed to run it, but then it's just:
$ python interactive-console.py
and away you go! Tokens are stored in ~/.tumblr
and are also shared by other Tumblr API clients like the Ruby client.
The tests (and coverage reports) are run with nose, like this:
python setup.py test
Author: tumblr
Source Code: https://github.com/tumblr/pytumblr
License: Apache-2.0 license
1632537859
Not babashka. Node.js babashka!?
Ad-hoc CLJS scripting on Node.js.
Experimental. Please report issues here.
Nbb's main goal is to make it easy to get started with ad hoc CLJS scripting on Node.js.
Additional goals and features are:
Nbb requires Node.js v12 or newer.
CLJS code is evaluated through SCI, the same interpreter that powers babashka. Because SCI works with advanced compilation, the bundle size, especially when combined with other dependencies, is smaller than what you get with self-hosted CLJS. That makes startup faster. The trade-off is that execution is less performant and that only a subset of CLJS is available (e.g. no deftype, yet).
Install nbb
from NPM:
$ npm install nbb -g
Omit -g
for a local install.
Try out an expression:
$ nbb -e '(+ 1 2 3)'
6
And then install some other NPM libraries to use in the script. E.g.:
$ npm install csv-parse shelljs zx
Create a script which uses the NPM libraries:
(ns script
(:require ["csv-parse/lib/sync$default" :as csv-parse]
["fs" :as fs]
["path" :as path]
["shelljs$default" :as sh]
["term-size$default" :as term-size]
["zx$default" :as zx]
["zx$fs" :as zxfs]
[nbb.core :refer [*file*]]))
(prn (path/resolve "."))
(prn (term-size))
(println (count (str (fs/readFileSync *file*))))
(prn (sh/ls "."))
(prn (csv-parse "foo,bar"))
(prn (zxfs/existsSync *file*))
(zx/$ #js ["ls"])
Call the script:
$ nbb script.cljs
"/private/tmp/test-script"
#js {:columns 216, :rows 47}
510
#js ["node_modules" "package-lock.json" "package.json" "script.cljs"]
#js [#js ["foo" "bar"]]
true
$ ls
node_modules
package-lock.json
package.json
script.cljs
Nbb has first class support for macros: you can define them right inside your .cljs
file, like you are used to from JVM Clojure. Consider the plet
macro to make working with promises more palatable:
(defmacro plet
[bindings & body]
(let [binding-pairs (reverse (partition 2 bindings))
body (cons 'do body)]
(reduce (fn [body [sym expr]]
(let [expr (list '.resolve 'js/Promise expr)]
(list '.then expr (list 'clojure.core/fn (vector sym)
body))))
body
binding-pairs)))
Using this macro we can look async code more like sync code. Consider this puppeteer example:
(-> (.launch puppeteer)
(.then (fn [browser]
(-> (.newPage browser)
(.then (fn [page]
(-> (.goto page "https://clojure.org")
(.then #(.screenshot page #js{:path "screenshot.png"}))
(.catch #(js/console.log %))
(.then #(.close browser)))))))))
Using plet
this becomes:
(plet [browser (.launch puppeteer)
page (.newPage browser)
_ (.goto page "https://clojure.org")
_ (-> (.screenshot page #js{:path "screenshot.png"})
(.catch #(js/console.log %)))]
(.close browser))
See the puppeteer example for the full code.
Since v0.0.36, nbb includes promesa which is a library to deal with promises. The above plet
macro is similar to promesa.core/let
.
$ time nbb -e '(+ 1 2 3)'
6
nbb -e '(+ 1 2 3)' 0.17s user 0.02s system 109% cpu 0.168 total
The baseline startup time for a script is about 170ms seconds on my laptop. When invoked via npx
this adds another 300ms or so, so for faster startup, either use a globally installed nbb
or use $(npm bin)/nbb script.cljs
to bypass npx
.
Nbb does not depend on any NPM dependencies. All NPM libraries loaded by a script are resolved relative to that script. When using the Reagent module, React is resolved in the same way as any other NPM library.
To load .cljs
files from local paths or dependencies, you can use the --classpath
argument. The current dir is added to the classpath automatically. So if there is a file foo/bar.cljs
relative to your current dir, then you can load it via (:require [foo.bar :as fb])
. Note that nbb
uses the same naming conventions for namespaces and directories as other Clojure tools: foo-bar
in the namespace name becomes foo_bar
in the directory name.
To load dependencies from the Clojure ecosystem, you can use the Clojure CLI or babashka to download them and produce a classpath:
$ classpath="$(clojure -A:nbb -Spath -Sdeps '{:aliases {:nbb {:replace-deps {com.github.seancorfield/honeysql {:git/tag "v2.0.0-rc5" :git/sha "01c3a55"}}}}}')"
and then feed it to the --classpath
argument:
$ nbb --classpath "$classpath" -e "(require '[honey.sql :as sql]) (sql/format {:select :foo :from :bar :where [:= :baz 2]})"
["SELECT foo FROM bar WHERE baz = ?" 2]
Currently nbb
only reads from directories, not jar files, so you are encouraged to use git libs. Support for .jar
files will be added later.
The name of the file that is currently being executed is available via nbb.core/*file*
or on the metadata of vars:
(ns foo
(:require [nbb.core :refer [*file*]]))
(prn *file*) ;; "/private/tmp/foo.cljs"
(defn f [])
(prn (:file (meta #'f))) ;; "/private/tmp/foo.cljs"
Nbb includes reagent.core
which will be lazily loaded when required. You can use this together with ink to create a TUI application:
$ npm install ink
ink-demo.cljs
:
(ns ink-demo
(:require ["ink" :refer [render Text]]
[reagent.core :as r]))
(defonce state (r/atom 0))
(doseq [n (range 1 11)]
(js/setTimeout #(swap! state inc) (* n 500)))
(defn hello []
[:> Text {:color "green"} "Hello, world! " @state])
(render (r/as-element [hello]))
Working with callbacks and promises can become tedious. Since nbb v0.0.36 the promesa.core
namespace is included with the let
and do!
macros. An example:
(ns prom
(:require [promesa.core :as p]))
(defn sleep [ms]
(js/Promise.
(fn [resolve _]
(js/setTimeout resolve ms))))
(defn do-stuff
[]
(p/do!
(println "Doing stuff which takes a while")
(sleep 1000)
1))
(p/let [a (do-stuff)
b (inc a)
c (do-stuff)
d (+ b c)]
(prn d))
$ nbb prom.cljs
Doing stuff which takes a while
Doing stuff which takes a while
3
Also see API docs.
Since nbb v0.0.75 applied-science/js-interop is available:
(ns example
(:require [applied-science.js-interop :as j]))
(def o (j/lit {:a 1 :b 2 :c {:d 1}}))
(prn (j/select-keys o [:a :b])) ;; #js {:a 1, :b 2}
(prn (j/get-in o [:c :d])) ;; 1
Most of this library is supported in nbb, except the following:
:syms
.-x
notation. In nbb, you must use keywords.See the example of what is currently supported.
See the examples directory for small examples.
Also check out these projects built with nbb:
See API documentation.
See this gist on how to convert an nbb script or project to shadow-cljs.
Prequisites:
To build:
bb release
Run bb tasks
for more project-related tasks.
Download Details:
Author: borkdude
Download Link: Download The Source Code
Official Website: https://github.com/borkdude/nbb
License: EPL-1.0
#node #javascript
1626728040
#stubborndevelopers
In this video, we will learn that how we can use any external/weather API in Node.js. Also we will learn below points:
1)How we can create free Weather API?
2) How can we call any external api using requests package in Node js?
2) How can we call any external api using axios package in Node js?
#api #node.js
1652450400
En este artículo, aprenderá los conceptos básicos de las variables globales.
Para empezar, aprenderá cómo declarar variables en Python y qué significa realmente el término 'ámbito de variable'.
Luego, aprenderá las diferencias entre variables locales y globales y comprenderá cómo definir variables globales y cómo usar la global
palabra clave.
Puede pensar en las variables como contenedores de almacenamiento .
Son contenedores de almacenamiento para almacenar datos, información y valores que le gustaría guardar en la memoria de la computadora. Luego puede hacer referencia a ellos o incluso manipularlos en algún momento a lo largo de la vida del programa.
Una variable tiene un nombre simbólico y puede pensar en ese nombre como la etiqueta en el contenedor de almacenamiento que actúa como su identificador.
El nombre de la variable será una referencia y un puntero a los datos almacenados en su interior. Por lo tanto, no es necesario recordar los detalles de sus datos e información; solo necesita hacer referencia al nombre de la variable que contiene esos datos e información.
Al dar un nombre a una variable, asegúrese de que sea descriptivo de los datos que contiene. Los nombres de las variables deben ser claros y fácilmente comprensibles tanto para usted en el futuro como para los otros desarrolladores con los que puede estar trabajando.
Ahora, veamos cómo crear una variable en Python.
Al declarar variables en Python, no necesita especificar su tipo de datos.
Por ejemplo, en el lenguaje de programación C, debe mencionar explícitamente el tipo de datos que contendrá la variable.
Entonces, si quisiera almacenar su edad, que es un número entero, o int
tipo, esto es lo que tendría que hacer en C:
#include <stdio.h>
int main(void)
{
int age = 28;
// 'int' is the data type
// 'age' is the name
// 'age' is capable of holding integer values
// positive/negative whole numbers or 0
// '=' is the assignment operator
// '28' is the value
}
Sin embargo, así es como escribirías lo anterior en Python:
age = 28
#'age' is the variable name, or identifier
# '=' is the assignment operator
#'28' is the value assigned to the variable, so '28' is the value of 'age'
El nombre de la variable siempre está en el lado izquierdo y el valor que desea asignar va en el lado derecho después del operador de asignación.
Tenga en cuenta que puede cambiar los valores de las variables a lo largo de la vida de un programa:
my_age = 28
print(f"My age in 2022 is {my_age}.")
my_age = 29
print(f"My age in 2023 will be {my_age}.")
#output
#My age in 2022 is 28.
#My age in 2023 will be 29.
Mantienes el mismo nombre de variable my_age
, pero solo cambias el valor de 28
a 29
.
El alcance de la variable se refiere a las partes y los límites de un programa de Python donde una variable está disponible, accesible y visible.
Hay cuatro tipos de alcance para las variables de Python, que también se conocen como la regla LEGB :
En el resto de este artículo, se centrará en aprender a crear variables con alcance global y comprenderá la diferencia entre los alcances de variables locales y globales.
Las variables definidas dentro del cuerpo de una función tienen alcance local , lo que significa que solo se puede acceder a ellas dentro de esa función en particular. En otras palabras, son 'locales' para esa función.
Solo puede acceder a una variable local llamando a la función.
def learn_to_code():
#create local variable
coding_website = "freeCodeCamp"
print(f"The best place to learn to code is with {coding_website}!")
#call function
learn_to_code()
#output
#The best place to learn to code is with freeCodeCamp!
Mire lo que sucede cuando trato de acceder a esa variable con un alcance local desde fuera del cuerpo de la función:
def learn_to_code():
#create local variable
coding_website = "freeCodeCamp"
print(f"The best place to learn to code is with {coding_website}!")
#try to print local variable 'coding_website' from outside the function
print(coding_website)
#output
#NameError: name 'coding_website' is not defined
Plantea un NameError
porque no es 'visible' en el resto del programa. Solo es 'visible' dentro de la función donde se definió.
Cuando define una variable fuera de una función, como en la parte superior del archivo, tiene un alcance global y se conoce como variable global.
Se accede a una variable global desde cualquier parte del programa.
Puede usarlo dentro del cuerpo de una función, así como acceder desde fuera de una función:
#create a global variable
coding_website = "freeCodeCamp"
def learn_to_code():
#access the variable 'coding_website' inside the function
print(f"The best place to learn to code is with {coding_website}!")
#call the function
learn_to_code()
#access the variable 'coding_website' from outside the function
print(coding_website)
#output
#The best place to learn to code is with freeCodeCamp!
#freeCodeCamp
¿Qué sucede cuando hay una variable global y local, y ambas tienen el mismo nombre?
#global variable
city = "Athens"
def travel_plans():
#local variable with the same name as the global variable
city = "London"
print(f"I want to visit {city} next year!")
#call function - this will output the value of local variable
travel_plans()
#reference global variable - this will output the value of global variable
print(f"I want to visit {city} next year!")
#output
#I want to visit London next year!
#I want to visit Athens next year!
En el ejemplo anterior, tal vez no esperaba ese resultado específico.
Tal vez pensaste que el valor de city
cambiaría cuando le asignara un valor diferente dentro de la función.
Tal vez esperabas que cuando hice referencia a la variable global con la línea print(f" I want to visit {city} next year!")
, la salida sería en #I want to visit London next year!
lugar de #I want to visit Athens next year!
.
Sin embargo, cuando se llamó a la función, imprimió el valor de la variable local.
Luego, cuando hice referencia a la variable global fuera de la función, se imprimió el valor asignado a la variable global.
No interfirieron entre sí.
Dicho esto, usar el mismo nombre de variable para variables globales y locales no se considera una buena práctica. Asegúrese de que sus variables no tengan el mismo nombre, ya que puede obtener algunos resultados confusos cuando ejecute su programa.
global
palabra clave en Python¿Qué sucede si tiene una variable global pero desea cambiar su valor dentro de una función?
Mira lo que sucede cuando trato de hacer eso:
#global variable
city = "Athens"
def travel_plans():
#First, this is like when I tried to access the global variable defined outside the function.
# This works fine on its own, as you saw earlier on.
print(f"I want to visit {city} next year!")
#However, when I then try to re-assign a different value to the global variable 'city' from inside the function,
#after trying to print it,
#it will throw an error
city = "London"
print(f"I want to visit {city} next year!")
#call function
travel_plans()
#output
#UnboundLocalError: local variable 'city' referenced before assignment
Por defecto, Python piensa que quieres usar una variable local dentro de una función.
Entonces, cuando intento imprimir el valor de la variable por primera vez y luego reasignar un valor a la variable a la que intento acceder, Python se confunde.
La forma de cambiar el valor de una variable global dentro de una función es usando la global
palabra clave:
#global variable
city = "Athens"
#print value of global variable
print(f"I want to visit {city} next year!")
def travel_plans():
global city
#print initial value of global variable
print(f"I want to visit {city} next year!")
#assign a different value to global variable from within function
city = "London"
#print new value
print(f"I want to visit {city} next year!")
#call function
travel_plans()
#print value of global variable
print(f"I want to visit {city} next year!")
Utilice la global
palabra clave antes de hacer referencia a ella en la función, ya que obtendrá el siguiente error: SyntaxError: name 'city' is used prior to global declaration
.
Anteriormente, vio que no podía acceder a las variables creadas dentro de las funciones ya que tienen un alcance local.
La global
palabra clave cambia la visibilidad de las variables declaradas dentro de las funciones.
def learn_to_code():
global coding_website
coding_website = "freeCodeCamp"
print(f"The best place to learn to code is with {coding_website}!")
#call function
learn_to_code()
#access variable from within the function
print(coding_website)
#output
#The best place to learn to code is with freeCodeCamp!
#freeCodeCamp
¡Y ahí lo tienes! Ahora conoce los conceptos básicos de las variables globales en Python y puede distinguir las diferencias entre las variables locales y globales.
Espero que hayas encontrado útil este artículo.
Comenzará desde lo básico y aprenderá de una manera interactiva y amigable para principiantes. También construirá cinco proyectos al final para poner en práctica y ayudar a reforzar lo que ha aprendido.
¡Gracias por leer y feliz codificación!
Fuente: https://www.freecodecamp.org/news/python-global-variables-examples/
1652496780
In this article, you will learn the basics of global variables.
To begin with, you will learn how to declare variables in Python and what the term 'variable scope' actually means.
Then, you will learn the differences between local and global variables and understand how to define global variables and how to use the global
keyword.
You can think of variables as storage containers.
They are storage containers for holding data, information, and values that you would like to save in the computer's memory. You can then reference or even manipulate them at some point throughout the life of the program.
A variable has a symbolic name, and you can think of that name as the label on the storage container that acts as its identifier.
The variable name will be a reference and pointer to the data stored inside it. So, there is no need to remember the details of your data and information – you only need to reference the variable name that holds that data and information.
When giving a variable a name, make sure that it is descriptive of the data it holds. Variable names need to be clear and easily understandable both for your future self and the other developers you may be working with.
Now, let's see how to actually create a variable in Python.
When declaring variables in Python, you don't need to specify their data type.
For example, in the C programming language, you have to mention explicitly the type of data the variable will hold.
So, if you wanted to store your age which is an integer, or int
type, this is what you would have to do in C:
#include <stdio.h>
int main(void)
{
int age = 28;
// 'int' is the data type
// 'age' is the name
// 'age' is capable of holding integer values
// positive/negative whole numbers or 0
// '=' is the assignment operator
// '28' is the value
}
However, this is how you would write the above in Python:
age = 28
#'age' is the variable name, or identifier
# '=' is the assignment operator
#'28' is the value assigned to the variable, so '28' is the value of 'age'
The variable name is always on the left-hand side, and the value you want to assign goes on the right-hand side after the assignment operator.
Keep in mind that you can change the values of variables throughout the life of a program:
my_age = 28
print(f"My age in 2022 is {my_age}.")
my_age = 29
print(f"My age in 2023 will be {my_age}.")
#output
#My age in 2022 is 28.
#My age in 2023 will be 29.
You keep the same variable name, my_age
, but only change the value from 28
to 29
.
Variable scope refers to the parts and boundaries of a Python program where a variable is available, accessible, and visible.
There are four types of scope for Python variables, which are also known as the LEGB rule:
For the rest of this article, you will focus on learning about creating variables with global scope, and you will understand the difference between the local and global variable scopes.
Variables defined inside a function's body have local scope, which means they are accessible only within that particular function. In other words, they are 'local' to that function.
You can only access a local variable by calling the function.
def learn_to_code():
#create local variable
coding_website = "freeCodeCamp"
print(f"The best place to learn to code is with {coding_website}!")
#call function
learn_to_code()
#output
#The best place to learn to code is with freeCodeCamp!
Look at what happens when I try to access that variable with a local scope from outside the function's body:
def learn_to_code():
#create local variable
coding_website = "freeCodeCamp"
print(f"The best place to learn to code is with {coding_website}!")
#try to print local variable 'coding_website' from outside the function
print(coding_website)
#output
#NameError: name 'coding_website' is not defined
It raises a NameError
because it is not 'visible' in the rest of the program. It is only 'visible' within the function where it was defined.
When you define a variable outside a function, like at the top of the file, it has a global scope and it is known as a global variable.
A global variable is accessed from anywhere in the program.
You can use it inside a function's body, as well as access it from outside a function:
#create a global variable
coding_website = "freeCodeCamp"
def learn_to_code():
#access the variable 'coding_website' inside the function
print(f"The best place to learn to code is with {coding_website}!")
#call the function
learn_to_code()
#access the variable 'coding_website' from outside the function
print(coding_website)
#output
#The best place to learn to code is with freeCodeCamp!
#freeCodeCamp
What happens when there is a global and local variable, and they both have the same name?
#global variable
city = "Athens"
def travel_plans():
#local variable with the same name as the global variable
city = "London"
print(f"I want to visit {city} next year!")
#call function - this will output the value of local variable
travel_plans()
#reference global variable - this will output the value of global variable
print(f"I want to visit {city} next year!")
#output
#I want to visit London next year!
#I want to visit Athens next year!
In the example above, maybe you were not expecting that specific output.
Maybe you thought that the value of city
would change when I assigned it a different value inside the function.
Maybe you expected that when I referenced the global variable with the line print(f" I want to visit {city} next year!")
, the output would be #I want to visit London next year!
instead of #I want to visit Athens next year!
.
However, when the function was called, it printed the value of the local variable.
Then, when I referenced the global variable outside the function, the value assigned to the global variable was printed.
They didn't interfere with one another.
That said, using the same variable name for global and local variables is not considered a best practice. Make sure that your variables don't have the same name, as you may get some confusing results when you run your program.
global
Keyword in PythonWhat if you have a global variable but want to change its value inside a function?
Look at what happens when I try to do that:
#global variable
city = "Athens"
def travel_plans():
#First, this is like when I tried to access the global variable defined outside the function.
# This works fine on its own, as you saw earlier on.
print(f"I want to visit {city} next year!")
#However, when I then try to re-assign a different value to the global variable 'city' from inside the function,
#after trying to print it,
#it will throw an error
city = "London"
print(f"I want to visit {city} next year!")
#call function
travel_plans()
#output
#UnboundLocalError: local variable 'city' referenced before assignment
By default Python thinks you want to use a local variable inside a function.
So, when I first try to print the value of the variable and then re-assign a value to the variable I am trying to access, Python gets confused.
The way to change the value of a global variable inside a function is by using the global
keyword:
#global variable
city = "Athens"
#print value of global variable
print(f"I want to visit {city} next year!")
def travel_plans():
global city
#print initial value of global variable
print(f"I want to visit {city} next year!")
#assign a different value to global variable from within function
city = "London"
#print new value
print(f"I want to visit {city} next year!")
#call function
travel_plans()
#print value of global variable
print(f"I want to visit {city} next year!")
Use the global
keyword before referencing it in the function, as you will get the following error: SyntaxError: name 'city' is used prior to global declaration
.
Earlier, you saw that you couldn't access variables created inside functions since they have local scope.
The global
keyword changes the visibility of variables declared inside functions.
def learn_to_code():
global coding_website
coding_website = "freeCodeCamp"
print(f"The best place to learn to code is with {coding_website}!")
#call function
learn_to_code()
#access variable from within the function
print(coding_website)
#output
#The best place to learn to code is with freeCodeCamp!
#freeCodeCamp
And there you have it! You now know the basics of global variables in Python and can tell the differences between local and global variables.
I hope you found this article useful.
You'll start from the basics and learn in an interactive and beginner-friendly way. You'll also build five projects at the end to put into practice and help reinforce what you've learned.
Thanks for reading and happy coding!
Source: https://www.freecodecamp.org/news/python-global-variables-examples/