What strategies to use to generate leads?
It turns out that I'm trying to send push messages, I managed to do something similar in appinventor, basically what I do is send a message to firebase and look if there has been a change and if so it has responded in a label.
I want to do the same thing with appybuilder as if it has the pushnotification component, but in this component I have to put FirebaseURL and TopicPath for it to work and when I do that I will only take messages that are in the rules as I am creating, what I want is to send these messages precisely to firebase from an application created in appybuilder.
I would greatly appreciate the help you can give me or any tutorial on how to do this.
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Here are the top 20 methods you can use to generate quality online traffic:
1. Guest Blogs
2. Long tail keywords
3. Create a targeted engagement on social media
4. Join a social group
5. Create better links
6. Google Plus Communities
7. Strategic Blog Commentary
8. Create important connections
9. Interview a "respectable" person
10. Write a “controversial” article
11. Social media: Facebook, Twitter, Google plus, Pinterest, LinkedIn, Instagram
12. Write a great list item
13. Focus only on two or three methods
14. Organize a competition
15. Write an article "How to"
16. Write longer content
17. Publication on the forum (like this publication in particular!)
18. Get more "Authority" links
19. Exchange of articles
20. Create an event or webinar
I hope it helps.
So, recently, I learned about procedural generation (Perlin noise in particular) and I sort of hit a wall.
It’s the result that I’ve seen everyone get, but that’s what I get,
Here is my code (I use python):
import random import math import PIL.Image class Noise: def __init__(self, x, y): self.x = x self.y = y def lerp(self, start, stop, t): return start*(1-t) + (stop*t) def smoothstep(self, t): return 3*(t**2) - 2*(t**3) def gradients(self): grads = () for _ in range(4): x = random.randrange(0, 361) y = random.randrange(0, 361) grads.append((math.cos(x), math.sin(y))) return grads def cvectors(self): botleft = (self.x, self.y) botright = (self.x-1, self.y) topleft = (self.x, self.y-1) topright = (self.x-1, self.y-1) cvecs = (botleft, botright, topleft, topright) return cvecs def makenoise(self): dot = () grads = self.gradients() cvecs = self.cvectors() for i in range(4): (x, y) = cvecs(i) (a, b) = grads(i) dot.append((x*a)+(y*b)) st = self.lerp(dot(0), dot(1), self.smoothstep(x)) uv = self.lerp(dot(2), dot(3), self.smoothstep(x)) stuv = self.lerp(st, uv, self.smoothstep(self.y)) return stuv size = 128 img = PIL.Image.new('L', (size, size)) for x in range(size): for y in range(size): perlin = Noise(random.uniform(0, 1), random.uniform(0, 1)) img.putpixel(tuple((x, y)), perlin.makenoise()) img.save("nois.png")
This is only a guess, but I get the impression that this is a scaling problem. Thanks in advance and apologies also for the horrible code.
I have a general question which is nothing specific.
I was wondering if there was a tool or method that we could use to recover (get) all the dependencies of a micro-service architecture. I did my research online, but some of the tools I find are strict for a particular setting, mainly Spring Boot.
Is there a general method (a means, a tool) that could do this regardless of your programming language or the framework used to create your micro-services. Something you would run on your back-end and it would generate a graph with all of your micro-services showing which micro-service is using which other local and remote services?
I would like to have a tool that generates a DAG graphical display from addresses generated from a seed.
In particular to distinguish which transactions are intended for “receiving” addresses and which which are intended for “change” addresses.
The motivation is to facilitate the distinction of the origin of the coins before spending them.
A command line tool to generate for example.
dot the files would do the trick. Any suggestion?
I have 4 types of message and each type of message has different size images. Is it possible to choose not to create thumbnail images when uploading an image or create a specific image size for each type of publication?
example: 1 type of publication: no need to generate thumbnails And only the original downloaded site is required. 2-post type: requires 3 different sizes. Position type 3: requires 2 different sizes. and…
What strategies to use to generate leads?