Update 1__10_Modules_Packages.ipynb

Update 4_1_Lexical_Processing.ipynb

nlp/4_1_Lexical_Processing.ipynb

@@ -326,7 +326,7 @@
     "def preprocess(words, type='doc'):\n",
     "    if (type == 'tweet'):\n",
     "        tknzr = TweetTokenizer(strip_handles=True, reduce_len=True)\n",
-    "        tokens = tknzr.tokenize(tweet)\n",
+    "        tokens = tknzr.tokenize(words)\n",
     "    else:\n",
     "        tokens = nltk.word_tokenize(words.lower())\n",
     "    porter = nltk.PorterStemmer()\n",

python/1_7_Variables.ipynb

@@ -66,7 +66,7 @@
     "\n",
     "This means:\n",
     "* ** dynamically typed**: variables do not declare a static type (as in Java int a = 2;). Variables have no type themselves, they are just names that hold a reference to some object. The type of the variable is changed dynamically when you change the type of the assigned data object. \n",
-    "* **strongly typed**: the interpreter tracks variable types. There is no explicit type conversion. For example, in Javascript we can "
+    "* **strongly typed**: the interpreter tracks variable types. There is no implicit type conversion. This means that all the type variables should be converted manually, preventing from unexpected behaviour. "
    ]
   },
   {