Idiomatic Pandas/05 Idiomatic Pandas.ipynb

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   "source": [
    "# What do you hate about pandas?\n",
    "\n",
    "I started a thread on the data science subreddit [What do you hate about pandas?](https://www.reddit.com/r/datascience/comments/7ggdlz/what_do_you_hate_about_pandas/) \n",
    "\n",
    "\n",
    "I have some things that I think could be changed.\n",
    "* Keep only two indexers **`.loc`** and **`.iloc`**\n",
    "* Many methods are not needed and can be deprecated. I like keeping the library as small as possible\n",
    "* Make the documentation more accessible to beginning programmers\n",
    "* Better renaming conventions after a groupby"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Mastering Pandas\n",
    "\n",
    "* Article on [How to Learn Pandas](https://medium.com/dunder-data/how-to-learn-pandas-108905ab4955)\n",
    "* Read the entire documentation \n",
    "* Do lots of end-to-end data analyses (kaggle datasets and kernels)\n",
    "* Answer questions on Stack Overflow\n",
    "* Create tutorials"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Code Review\n",
    "\n",
    "Do you have a small snippet of code you would like to share?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Random Exercises"
   ]
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  {
   "cell_type": "code",
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   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
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   "source": [
    "### Exercise 1\n",
    "<span style=\"color:green; font-size:16px\">Convert **`df1`** to **`df2`**</span>"
   ]
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   "cell_type": "code",
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    "df1 = pd.read_csv('../data/e1.csv')\n",
    "df2 = pd.read_csv('../data/e2.csv')"
   ]
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