Enter the thread if you dare. 😈

We’re counting down 13 of the best ways to Halloween on Snapchat. First up – matching Lens costumes for you and your pet.

https://t.co/J0Zn7CfM1q

Tis the season to slay some ghouls. Grab some friends and dive in to Zombie Rescue Squad from @PikPokGames. How long can you survive?

https://t.co/FC9dvafUiV
Is it even Halloween if you're not FREAKED OUT? Scare yourself silly with a Dead of Night S1 rewatch.

https://t.co/LtoE7yHgaG
Be careful! Things aren’t always what they seem. Our Lenses start off cute, but are filled with spooky surprises!

https://t.co/xq45JlYeQ7
Craving candy early? Our new stickers were made to satisfy your sweet tooth.
Ready to get your spine tingling? Our new Lenses bring the spookiest scares right to your living room.

https://t.co/HGAAQ2LSev
Full body Lenses have arrived! Try on all seven costumes, just in time for your virtual Halloween hangouts.

https://t.co/0b90afVmnh

More from Social media

I wrote 30 Twitter threads in 30 days.

The goal?

Learn how to craft interesting threads, and grow a following. It (mostly) worked.

- New followers: +2.5K (+100% MoM)
- Top thread: 373K impressions
- Top tweet: 2.5K likes

Here's what I learned. Quick thread 👇👇

To start, here's the most popular thread I've written.

Thoughts on what made it work, below.


1. Quality

The threads that performed best were (usually) the ones I put the most effort into.

One example is this one about Jeff Bezos's origins. I spent hours researching and drafting it.

It's worth taking the time to craft your


2. Timeliness

Capitalizing on the news can be one way to expand viewership.

When Fornite launched its #FreeFortnite campaign, I wrote this thread.

At the time, it was my 2nd best performing thread. It also introduced me to the lovely


3. Narrative Arc

Have a clear start and end in your mind.

I made this mistake with a few Amazon threads. I thought because my first one worked, I could keep the story going. But they didn't have as clear a narrative arc and were much less popular.

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Nano Course On Python For Trading
==========================
Module 1

Python makes it very easy to analyze and visualize time series data when you’re a beginner. It's easier when you don't have to install python on your PC (that's why it's a nano course, you'll learn python...

... on the go). You will not be required to install python in your PC but you will be using an amazing python editor, Google Colab Visit
https://t.co/EZt0agsdlV

This course is for anyone out there who is confused, frustrated, and just wants this python/finance thing to work!

In Module 1 of this Nano course, we will learn about :

# Using Google Colab
# Importing libraries
# Making a Random Time Series of Black Field Research Stock (fictional)

# Using Google Colab

Intro link is here on YT: https://t.co/MqMSDBaQri

Create a new Notebook at https://t.co/EZt0agsdlV and name it AnythingOfYourChoice.ipynb

You got your notebook ready and now the game is on!
You can add code in these cells and add as many cells as you want

# Importing Libraries

Imports are pretty standard, with a few exceptions.
For the most part, you can import your libraries by running the import.
Type this in the first cell you see. You need not worry about what each of these does, we will understand it later.