#NigerianPolitics: The inter-tribal hostilities presently brewing in the south-west of Nigeria 🇳🇬 between Yoruba & Fulani people need not happen if all parties are ready to shun dishonesty & allegiance to primordial tribal sentiments. We must not allow an escalation.
We must not discount the harrowing experiences of these Nigerians in the name of politics.
1. We want all solutions to states' problem to come only from Abuja even though we run a federal system.
3. Politicisation of issues pertaining to the RESTRUCTURING question.
We didn't need to wait for a thug to begin to lead the discussion in a nuanced issue like this.
The killing/kidnapping/ herders problem in the southwest must be handled with utmost caution.
More from World
The most sophisticated growth team no one talks about: @WishShopping
1. The #1 shopping app in 40+ countries
2. Rumored to often be the #1 spender on FB and Google
3. 2 million items sold daily
I sat down with @cplimon to learn about the notoriously secretive company. Read on 👇
1/ Your brand constraint is Wish's opportunity
Wish's superpower is leaving no room for taste or opinion. It's what happens when a machine builds a company based on data. The founder didn't plan to sell cheap goods to low-socioeconomic customers, but where the data took him.
"Until you work at a place like Wish, you don't know what data-driven is. Everyone else is data-driven when it's convenient, when it agrees with your opinions. Wish is great at ignoring their own emotions. It's data-driven with as much intellectual honesty as possible."
For example
2/ Differentiate by serving the under-served
Most of Wish’s initial sales came from places like Florida, greater LA county, and middle-America. Specifically, zip codes with 95% Spanish speakers. Later, Africa, Latin America and Eastern Europe (avg household income $18,000/year)
1. The #1 shopping app in 40+ countries
2. Rumored to often be the #1 spender on FB and Google
3. 2 million items sold daily
I sat down with @cplimon to learn about the notoriously secretive company. Read on 👇
1/ Your brand constraint is Wish's opportunity
Wish's superpower is leaving no room for taste or opinion. It's what happens when a machine builds a company based on data. The founder didn't plan to sell cheap goods to low-socioeconomic customers, but where the data took him.
"Until you work at a place like Wish, you don't know what data-driven is. Everyone else is data-driven when it's convenient, when it agrees with your opinions. Wish is great at ignoring their own emotions. It's data-driven with as much intellectual honesty as possible."
For example
cursed wish ads pic.twitter.com/eMlx4LqgKA
— big meaty claws (@leisurepIex) June 4, 2019
2/ Differentiate by serving the under-served
Most of Wish’s initial sales came from places like Florida, greater LA county, and middle-America. Specifically, zip codes with 95% Spanish speakers. Later, Africa, Latin America and Eastern Europe (avg household income $18,000/year)
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A brief analysis and comparison of the CSS for Twitter's PWA vs Twitter's legacy desktop website. The difference is dramatic and I'll touch on some reasons why.
Legacy site *downloads* ~630 KB CSS per theme and writing direction.
6,769 rules
9,252 selectors
16.7k declarations
3,370 unique declarations
44 media queries
36 unique colors
50 unique background colors
46 unique font sizes
39 unique z-indices
https://t.co/qyl4Bt1i5x
PWA *incrementally generates* ~30 KB CSS that handles all themes and writing directions.
735 rules
740 selectors
757 declarations
730 unique declarations
0 media queries
11 unique colors
32 unique background colors
15 unique font sizes
7 unique z-indices
https://t.co/w7oNG5KUkJ
The legacy site's CSS is what happens when hundreds of people directly write CSS over many years. Specificity wars, redundancy, a house of cards that can't be fixed. The result is extremely inefficient and error-prone styling that punishes users and developers.
The PWA's CSS is generated on-demand by a JS framework that manages styles and outputs "atomic CSS". The framework can enforce strict constraints and perform optimisations, which is why the CSS is so much smaller and safer. Style conflicts and unbounded CSS growth are avoided.
Legacy site *downloads* ~630 KB CSS per theme and writing direction.
6,769 rules
9,252 selectors
16.7k declarations
3,370 unique declarations
44 media queries
36 unique colors
50 unique background colors
46 unique font sizes
39 unique z-indices
https://t.co/qyl4Bt1i5x
PWA *incrementally generates* ~30 KB CSS that handles all themes and writing directions.
735 rules
740 selectors
757 declarations
730 unique declarations
0 media queries
11 unique colors
32 unique background colors
15 unique font sizes
7 unique z-indices
https://t.co/w7oNG5KUkJ
The legacy site's CSS is what happens when hundreds of people directly write CSS over many years. Specificity wars, redundancy, a house of cards that can't be fixed. The result is extremely inefficient and error-prone styling that punishes users and developers.
The PWA's CSS is generated on-demand by a JS framework that manages styles and outputs "atomic CSS". The framework can enforce strict constraints and perform optimisations, which is why the CSS is so much smaller and safer. Style conflicts and unbounded CSS growth are avoided.
#24hrstartup recap and analysis
What a weekend celebrating makers looks like.
A thread
👇Read on
Let's start with a crazy view of what @ProductHunt looked like on Sunday
Download image and upload
A top 7 with:
https://t.co/6gBjO6jXtB @Booligoosh
https://t.co/fwfKbQha57 @stephsmithio
https://t.co/LsSRNV9Jrf @anthilemoon
https://t.co/Fts7T8Un5M @J_Tabansi
Spotify Ctrl @shahroozme
https://t.co/37EoJAXEeG @kossnocorp
https://t.co/fMawYGlnro
If you want some top picks, see @deadcoder0904's thread,
We were going to have a go at doing this, but he nailed it.
It also comes with voting links 🖐so go do your
Over the following days the 24hr startup crew had more than their fair share of launches
Lots of variety: web, bots, extensions and even native apps
eg. @jordibruin with
What a weekend celebrating makers looks like.
A thread
👇Read on
Let's start with a crazy view of what @ProductHunt looked like on Sunday
Download image and upload
A top 7 with:
https://t.co/6gBjO6jXtB @Booligoosh
https://t.co/fwfKbQha57 @stephsmithio
https://t.co/LsSRNV9Jrf @anthilemoon
https://t.co/Fts7T8Un5M @J_Tabansi
Spotify Ctrl @shahroozme
https://t.co/37EoJAXEeG @kossnocorp
https://t.co/fMawYGlnro
If you want some top picks, see @deadcoder0904's thread,
We were going to have a go at doing this, but he nailed it.
It also comes with voting links 🖐so go do your
#24hrsstartup was an amazing event
— Akshay Kadam(A2K) \U0001f47b (@deadcoder0904) November 19, 2018
I never went to a hackathon but this just felt like one even though I was just watching \U0001f440
Everyone did great but there were a few startups that I personally loved \U0001f496
Some of my favorites are in the thread below\U0001f447
Over the following days the 24hr startup crew had more than their fair share of launches
Lots of variety: web, bots, extensions and even native apps
eg. @jordibruin with
\U0001f3a8\U0001f3c3\u200d\u2640\ufe0f DrawRun just launched on Product Hunt! Idea to App Store to Product Hunt in 68 hours!\u2070\u2070https://t.co/mxnLZ8FRSu
— Jordi Bruin (@jordibruin) November 20, 2018
Thanks for the motivation @thepatwalls @arminulrich @_feloidea
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.
==========================
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.