py_dataanalysis_note.ipynb

{
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  {
   "cell_type": "markdown",
   "metadata": {
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   "source": [
    "# Python × 資料分析\n",
    "## 補充\n",
    "\n",
    "<br>\n",
    "## Kristen Chan"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Agenda\n",
    "***\n",
    "- Python 程式結構與語法\n",
    "- 查詢目前目錄\n",
    "- Jupyter 使用技巧\n",
    "- list\n",
    "- Anaconda 套件更新及列出"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Python 程式結構與語法"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Python 程式結構與語法\n",
    "***\n",
    "## 註解\n",
    "- 單行註解\n",
    "```python\n",
    "# comments\n",
    "```\n",
    "- 多行註解\n",
    "```python\n",
    "'''\n",
    "comments\n",
    "'''\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Python 程式結構與語法\n",
    "***\n",
    "## 延續多行\n",
    "- 程式太長換行\n",
    "```python\n",
    "print(\\\n",
    "    \"Hello Python!!\" \\\n",
    ")\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Python 程式結構與語法\n",
    "***\n",
    "## 縮排\n",
    "- 利用 tab 或 4 個空白\n",
    "```python\n",
    "x = 3\n",
    "if x >3 :\n",
    "    print('x 大於 3')\n",
    "else :\n",
    "    print('x 小於 3')\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Python 程式結構與語法\n",
    "***\n",
    "## 跳脫字元\n",
    "- 單引號：`\\'`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello 'Python'\n"
     ]
    }
   ],
   "source": [
    "print(\"Hello \\'Python\\'\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "+ 雙引號：`\\\"`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello \"Python\"\n"
     ]
    }
   ],
   "source": [
    "print(\"Hello \\\"Python\\\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Python 程式結構與語法\n",
    "***\n",
    "## 跳脫字元\n",
    "- 反斜線：`\\\\`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello \\Python\\\n"
     ]
    }
   ],
   "source": [
    "print(\"Hello \\\\Python\\\\\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- 換行：`\\n`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello \n",
      "Python\n"
     ]
    }
   ],
   "source": [
    "print(\"Hello \\nPython\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- tab：`\\t`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello \tPython\n"
     ]
    }
   ],
   "source": [
    "print(\"Hello \\tPython\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# 查詢目前目錄"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 查詢目前目錄\n",
    "***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/Users/hsinyu/Desktop/Python資料分析/Slide'"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import os\n",
    "os.getcwd()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Jupyter 使用技巧"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Jupyter 使用技巧\n",
    "***\n",
    "### Executing Shell Commands"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/Users/hsinyu/Desktop/Python資料分析/Slide\r\n"
     ]
    }
   ],
   "source": [
    "!pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello Python\r\n"
     ]
    }
   ],
   "source": [
    "!python3 /Users/hsinyu/Desktop/Python資料分析/Slide/python_demo/hello.py"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Jupyter 使用技巧\n",
    "***\n",
    "### Run code from a different kernel in a notebooks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n",
      "2\n",
      "3\n",
      "4\n",
      "5\n"
     ]
    }
   ],
   "source": [
    "%%bash\n",
    "for i in {1..5}\n",
    "do\n",
    "   echo \"$i\"\n",
    "done"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Jupyter 使用技巧\n",
    "***\n",
    "### 查看目前存了什麼物件在內"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "a = 1\n",
    "b = 'Hello'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def printer(input_str):\n",
    "    print(input_str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Variable   Type        Data/Info\n",
      "--------------------------------\n",
      "a          int         1\n",
      "b          str         Hello\n",
      "printer    function    <function printer at 0x10e41eea0>\n"
     ]
    }
   ],
   "source": [
    "whos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# `list`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# `list`\n",
    "***\n",
    "### 需要用 `list` 可視化輸出的函數\n",
    "+ `range()`\n",
    "+ `filter()`\n",
    "+ `map()`\n",
    "+ `enumerate()`\n",
    "+ `zip()`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Anaconda 套件更新及列出"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Anaconda 套件更新及列出\n",
    "***\n",
    "+ conda udate\n",
    "+ conda list"
   ]
  }
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