alexhawkins

📚 Ultimate AI Marketing, Analytics & Agentic Workflows — Beginner to Pro (10/10)

By Alex — for Pear

---

🎯 End Goals

• Build AI apps with OpenAI, Claude, Gemini
• Generate images/videos for ads and socials at scale
• Use AI for analytics and charting
• Ship multi-agent automations for marketing & ops

alexhawkins

import { map } from 'p-iteration';
import _uniqBy from 'lodash/uniqBy';

/* Array iteration with async/await */
const getMultipleCategoryProducts = async productCategories => {
  return map(productCategories, async category => {
    const products = await getProductsByCategory(category);
    return products;
  });
};

alexhawkins

import React from 'react';
import PropTypes from 'prop-types';
import { graphql } from 'react-relay';
import { createRefetchContainer, QueryRenderer } from 'react-relay';
import { identifyDataKey, hasNextPage, createDataArray } from '../../../utils/RelayHelpers';

const ProductReviewsList = ({ data, loading, containerWidth, role }) => {
  const renderRow = () => (
    <Flex flexColumn id="ReviewComments">
      <Box className="ProductReviews__divider">

alexhawkins

import React, { PureComponent } from 'react'

const contextTypes = {
  router: PropTypes.object.isRequired,
  api: PropTypes.object.isRequired,
  relay: PropTypes.shape({
    variables: PropTypes.shape({
      category: PropTypes.string.isRequired,
    }).isRequired,
  }).isRequired,

alexhawkins

import React, { PureComponent } from 'react'

const contextTypes = {
  router: PropTypes.object.isRequired,
  api: PropTypes.object.isRequired,
  relay: PropTypes.shape({
    variables: PropTypes.shape({
      category: PropTypes.string.isRequired,
    }).isRequired,
  }).isRequired,

alexhawkins

import React from 'react'

class AsyncAwait extends React.Component {
  constructor() {
    super()
    this.state = {}
  }

  async componentDidMount() {
    const res = await this.context.api.fetch('/logout', { method: 'POST' }).then(() => {

alexhawkins

import React from 'react'

class AsyncAwait extends React.Component {
  constructor() {
    super()
    this.state = {}
  }

  async componentDidMount() {
    const res = await this.context.api.fetch('/logout', { method: 'POST' }).then(() => {

alexhawkins

import React, { PropTypes, Component } from 'react';
import Relay from 'react-relay';
import { Map } from 'immutable';
import debounce from 'lodash/debounce';

import AddToCartMutation from '../../mutations/AddToCartMutation';
import RemoveFromCartMutation from '../../mutations/RemoveFromCartMutation';

import CartEntry from '../cart/CartEntry';
import InputQuantity from '../form/InputQuantity';

alexhawkins

import React, { PropTypes } from 'react';
import Relay from 'react-relay';
import { Map } from 'immutable';
import debounce from 'lodash/debounce';

import AddToCartMutation from '../../mutations/AddToCartMutation';
import RemoveFromCartMutation from '../../mutations/RemoveFromCartMutation';

import CartEntry from '../cart/CartEntry';
import InputQuantity from '../form/InputQuantity';

alexhawkins

#' @param func = a site-by-species "functioning" matrix (cells are values of ecosystem function),
#' @param base = the row name or number of the baseline community; defaults to highest productivity community
#' @param standardize = TRUE, whether results are scaled by the maximum to units (-1, 1), 
#' @param avg = TRUE, whether 
#' @param avglvl = The top X% of sites that should be used as the baseline and then results averaged, default is top 90%
#' @return data.frame of Price components & summed effects

price = function(func, base = "best", standardize = TRUE, avg = FALSE, avglvl = 0.90) {
  
  # Replace NAs with zeros