Shuyib

Pokémon Battle Advisor try here https://shuyib-pokemonbattleadvisor.web.val.run

Overview

The Pokémon Battle Advisor is a web application designed to help Pokémon trainers strategize their battles by providing detailed and realistic battle recommendations. Users can specify their Pokémon team or randomize a team, and then receive tailored battle strategies based on their team and the opponent's Pokémon. The application leverages the CEREBRAS API to generate these recommendations, ensuring they adhere to official Pokémon game mechanics.

Features

• Specify Your Pokémon Team: Users can enter the names of up to three Pokémon to include in their team.
• Randomize Pokémon Team: Users can opt to randomize their Pokémon team, fetching three random Pokémon from the PokéAPI.
• Challenger Pokémon Input: Users can enter the name of the opponent's Pokémon to receive a battle recommendation.
• Battle Recommendations: The app provides detailed battle strategies, including recommended Pokémon, strate

Shuyib

#!/bin/bash

# install ffmpeg if not already installed
if ! command -v ffmpeg &> /dev/null
then
    echo "ffmpeg could not be found"
    echo "Installing ffmpeg..."
    sudo apt-get install ffmpeg
fi

Shuyib

# Thank you @Earthly https://www.youtube.com/watch?v=w2UeLF7EEwk
# Can be adapted to pipenv, and poetry
# Other languages coming soon especially R and Julia

# .ONESHELL tells make to run each recipe line in a single shell
.ONESHELL:

# .DEFAULT_GOAL tells make which target to run when no target is specified
.DEFAULT_GOAL := all

Shuyib

SHELL := /usr/bin/env bash

#######
# Help
#######

.DEFAULT_GOAL := help
.PHONY: help

help:

Shuyib

#  ---------------------------------------------------------------------------
#
#  Description:  This file holds all my BASH configurations and aliases
#
#  Sections:
#  1.   Environment Configuration
#  2.   Make Terminal Better (remapping defaults and adding functionality)
#  3.   File and Folder Management
#  4.   Searching
#  5.   Process Management

Shuyib

R to python data wrangling snippets

The dplyr package in R makes data wrangling significantly easier. The beauty of dplyr is that, by design, the options available are limited. Specifically, a set of key verbs form the core of the package. Using these verbs you can solve a wide range of data problems effectively in a shorter timeframe. Whilse transitioning to Python I have greatly missed the ease with which I can think through and solve problems using dplyr in R. The purpose of this document is to demonstrate how to execute the key dplyr verbs when manipulating data using Python (with the pandas package).

dplyr is organised around six key verbs:

Shuyib

Shuyib

# Install R
sudo apt-get update
sudo apt-get install gdebi libxml2-dev libssl-dev libcurl4-openssl-dev libopenblas-dev r-base r-base-dev

# Install RStudio
cd ~/Downloads
wget https://download1.rstudio.org/rstudio-xenial-1.1.383-amd64.deb
sudo gdebi rstudio-xenial-1.1.383-amd64.deb
printf '\nexport QT_STYLE_OVERRIDE=gtk\n' | sudo tee -a ~/.profile

Shuyib

class MyStreamListener(tweepy.StreamListener):
    def __init__(self, api=None):
        super(MyStreamListener, self).__init__()
        self.num_tweets = 0
        self.file = open("tweets.txt", "w")

    def on_status(self, status):
        tweet = status._json
        self.file.write( json.dumps(tweet) + '\n' )
        self.num_tweets += 1

Shuyib

/*
Earned Badges
This table contains badges earned by a user, including the most recent date achieved, the type, the name, the # of energy points earned, and the activity earned from.
Collected by: https://www.khanacademy.org/profile/chopsor/
*/

CREATE TABLE badges (
    date TEXT,
    badge_type TEXT,
    badge_name TEXT,