From e03b99a41401a68e1cb12845ec44ee903da0d6af Mon Sep 17 00:00:00 2001
From: kakaru <kakaru1331@gmail.com>
Date: Sun, 18 Feb 2018 20:38:39 +0900
Subject: [PATCH] assessment test1

---
 .gitignore                                    | 137 ++++++
 ...tructures Assessment Test-checkpoint.ipynb | 428 ++++++++++++++++--
 ... and Data Structures Assessment Test.ipynb | 428 ++++++++++++++++--
 3 files changed, 907 insertions(+), 86 deletions(-)
 create mode 100644 .gitignore

diff --git a/.gitignore b/.gitignore
new file mode 100644
index 000000000..0a8b64611
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,137 @@
+# Created by https://www.gitignore.io/api/macos,python,jupyternotebook
+
+### JupyterNotebook ###
+.ipynb_checkpoints
+*/.ipynb_checkpoints/*
+
+# Remove previous ipynb_checkpoints
+#   git rm -r .ipynb_checkpoints/
+#
+### macOS ###
+*.DS_Store
+.AppleDouble
+.LSOverride
+
+# Icon must end with two \r
+Icon
+
+# Thumbnails
+._*
+
+# Files that might appear in the root of a volume
+.DocumentRevisions-V100
+.fseventsd
+.Spotlight-V100
+.TemporaryItems
+.Trashes
+.VolumeIcon.icns
+.com.apple.timemachine.donotpresent
+
+# Directories potentially created on remote AFP share
+.AppleDB
+.AppleDesktop
+Network Trash Folder
+Temporary Items
+.apdisk
+
+### Python ###
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.coverage
+.coverage.*
+.cache
+.pytest_cache/
+nosetests.xml
+coverage.xml
+*.cover
+.hypothesis/
+
+# Translations
+*.mo
+*.pot
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+
+# pyenv
+.python-version
+
+# celery beat schedule file
+celerybeat-schedule.*
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+
+
+# End of https://www.gitignore.io/api/macos,python,jupyternotebook
\ No newline at end of file
diff --git a/00-Python Object and Data Structure Basics/.ipynb_checkpoints/09-Objects and Data Structures Assessment Test-checkpoint.ipynb b/00-Python Object and Data Structure Basics/.ipynb_checkpoints/09-Objects and Data Structures Assessment Test-checkpoint.ipynb
index 149e61af2..af010f975 100644
--- a/00-Python Object and Data Structure Basics/.ipynb_checkpoints/09-Objects and Data Structures Assessment Test-checkpoint.ipynb	
+++ b/00-Python Object and Data Structure Basics/.ipynb_checkpoints/09-Objects and Data Structures Assessment Test-checkpoint.ipynb	
@@ -31,15 +31,15 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Numbers:\n",
+    "Numbers: data type on number\n",
     "\n",
-    "Strings:\n",
+    "Strings: \n",
     "\n",
-    "Lists:\n",
+    "Lists: \n",
     "\n",
-    "Tuples:\n",
+    "Tuples: like const\n",
     "\n",
-    "Dictionaries:\n"
+    "Dictionaries: \n"
    ]
   },
   {
@@ -56,7 +56,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": []
   },
@@ -75,10 +77,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "#1. 44\n",
+    "#2. 29\n",
+    "#3. 34"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -87,6 +93,37 @@
     "What is the *type* of the result of the expression 3 + 1.5 + 4?<br><br>"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# float"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "float"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "type(3+1.5+4)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -97,7 +134,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "# Square root:\n"
@@ -105,13 +144,64 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 13,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "# Square:\n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1024"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "2 ** 10"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1.4142135623730951"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "2 ** (0.5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -128,8 +218,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 16,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "s = 'hello'\n",
@@ -137,6 +229,26 @@
     "\n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'e'"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s[1]"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -146,8 +258,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 18,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "s ='hello'\n",
@@ -155,6 +269,26 @@
     "\n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'olleh'"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s[::-1]"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -164,8 +298,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 24,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "s ='hello'\n",
@@ -177,12 +313,34 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 26,
    "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'o'"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a = s.index('o')\n",
+    "s[a]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
-    "# Method 2:\n",
-    "\n"
+    "# Method 2:\n"
    ]
   },
   {
@@ -201,22 +359,49 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 30,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "# Method 1:\n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "mylist = [0,0,0]"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "# Method 2:\n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mylist2 = []\n",
+    "mylist2.append(0)\n",
+    "mylist2.append(0)\n",
+    "mylist2.append(0)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -226,14 +411,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 37,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "list3 = [1,2,[3,4,'hello']]\n",
     "\n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "list3[2][2] = 'goodbye'"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -243,14 +439,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 41,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "list4 = [5,3,4,6,1]\n",
     "\n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "list4.sort()"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -267,8 +476,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 43,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "d = {'simple_key':'hello'}\n",
@@ -277,8 +488,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 44,
    "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'hello'"
+      ]
+     },
+     "execution_count": 44,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "d['simple_key']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "d = {'k1':{'k2':'hello'}}\n",
@@ -287,8 +520,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 46,
    "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'hello'"
+      ]
+     },
+     "execution_count": 46,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "d['k1']['k2']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "# Getting a little tricker\n",
@@ -299,14 +554,56 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 58,
    "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['hello']"
+      ]
+     },
+     "execution_count": 58,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "d['k1'][0]['nest_key'][1]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "# This will be hard and annoying!\n",
     "d = {'k1':[1,2,{'k2':['this is tricky',{'tough':[1,2,['hello']]}]}]}"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['hello']"
+      ]
+     },
+     "execution_count": 65,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "d['k1'][2]['k2'][1]['tough'][2]"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -335,6 +632,17 @@
     "How do you create a tuple?<br><br>"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "tup = (1,2,3)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -358,8 +666,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 68,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "list5 = [1,2,2,33,4,4,11,22,3,3,2]\n",
@@ -367,6 +677,17 @@
     "\n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "myset = set(list5)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -427,7 +748,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "# Answer before running cell\n",
@@ -437,7 +760,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "# Answer before running cell\n",
@@ -447,7 +772,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "# Answer before running cell\n",
@@ -457,7 +784,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "# Answer before running cell\n",
@@ -467,7 +796,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "# Answer before running cell\n",
@@ -483,9 +814,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "False"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# two nested lists\n",
     "l_one = [1,2,[3,4]]\n",
@@ -520,7 +862,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.6.3"
   }
  },
  "nbformat": 4,
diff --git a/00-Python Object and Data Structure Basics/09-Objects and Data Structures Assessment Test.ipynb b/00-Python Object and Data Structure Basics/09-Objects and Data Structures Assessment Test.ipynb
index 149e61af2..af010f975 100644
--- a/00-Python Object and Data Structure Basics/09-Objects and Data Structures Assessment Test.ipynb	
+++ b/00-Python Object and Data Structure Basics/09-Objects and Data Structures Assessment Test.ipynb	
@@ -31,15 +31,15 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Numbers:\n",
+    "Numbers: data type on number\n",
     "\n",
-    "Strings:\n",
+    "Strings: \n",
     "\n",
-    "Lists:\n",
+    "Lists: \n",
     "\n",
-    "Tuples:\n",
+    "Tuples: like const\n",
     "\n",
-    "Dictionaries:\n"
+    "Dictionaries: \n"
    ]
   },
   {
@@ -56,7 +56,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": []
   },
@@ -75,10 +77,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "#1. 44\n",
+    "#2. 29\n",
+    "#3. 34"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -87,6 +93,37 @@
     "What is the *type* of the result of the expression 3 + 1.5 + 4?<br><br>"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# float"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "float"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "type(3+1.5+4)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -97,7 +134,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "# Square root:\n"
@@ -105,13 +144,64 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 13,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "# Square:\n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1024"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "2 ** 10"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1.4142135623730951"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "2 ** (0.5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -128,8 +218,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 16,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "s = 'hello'\n",
@@ -137,6 +229,26 @@
     "\n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'e'"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s[1]"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -146,8 +258,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 18,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "s ='hello'\n",
@@ -155,6 +269,26 @@
     "\n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'olleh'"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s[::-1]"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -164,8 +298,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 24,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "s ='hello'\n",
@@ -177,12 +313,34 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 26,
    "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'o'"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a = s.index('o')\n",
+    "s[a]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
-    "# Method 2:\n",
-    "\n"
+    "# Method 2:\n"
    ]
   },
   {
@@ -201,22 +359,49 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 30,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "# Method 1:\n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "mylist = [0,0,0]"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "# Method 2:\n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mylist2 = []\n",
+    "mylist2.append(0)\n",
+    "mylist2.append(0)\n",
+    "mylist2.append(0)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -226,14 +411,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 37,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "list3 = [1,2,[3,4,'hello']]\n",
     "\n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "list3[2][2] = 'goodbye'"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -243,14 +439,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 41,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "list4 = [5,3,4,6,1]\n",
     "\n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "list4.sort()"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -267,8 +476,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 43,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "d = {'simple_key':'hello'}\n",
@@ -277,8 +488,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 44,
    "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'hello'"
+      ]
+     },
+     "execution_count": 44,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "d['simple_key']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "d = {'k1':{'k2':'hello'}}\n",
@@ -287,8 +520,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 46,
    "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'hello'"
+      ]
+     },
+     "execution_count": 46,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "d['k1']['k2']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "# Getting a little tricker\n",
@@ -299,14 +554,56 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 58,
    "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['hello']"
+      ]
+     },
+     "execution_count": 58,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "d['k1'][0]['nest_key'][1]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "# This will be hard and annoying!\n",
     "d = {'k1':[1,2,{'k2':['this is tricky',{'tough':[1,2,['hello']]}]}]}"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['hello']"
+      ]
+     },
+     "execution_count": 65,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "d['k1'][2]['k2'][1]['tough'][2]"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -335,6 +632,17 @@
     "How do you create a tuple?<br><br>"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "tup = (1,2,3)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -358,8 +666,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
+   "execution_count": 68,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "list5 = [1,2,2,33,4,4,11,22,3,3,2]\n",
@@ -367,6 +677,17 @@
     "\n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "myset = set(list5)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -427,7 +748,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "# Answer before running cell\n",
@@ -437,7 +760,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "# Answer before running cell\n",
@@ -447,7 +772,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "# Answer before running cell\n",
@@ -457,7 +784,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "# Answer before running cell\n",
@@ -467,7 +796,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "# Answer before running cell\n",
@@ -483,9 +814,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "False"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# two nested lists\n",
     "l_one = [1,2,[3,4]]\n",
@@ -520,7 +862,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.6.3"
   }
  },
  "nbformat": 4,