GREAT list of python tips - I found a few typographical errors and fixed them

README.md

@@ -42,10 +42,10 @@ Python 3.
 - 2. Move complex expressions into helper functions, especially if you need to
      use the same logic repeatedly.
 - 3. The if/else expression provides a more readable alternative to using
-     Boolean operators like or and adn in expressions.
+     Boolean operators like or and and in expressions.
 
 
-### [Item 5: Know hot to slice sequences](item_05_slice_sequence.py)
+### [Item 5: Know how to slice sequences](item_05_slice_sequence.py)
 - 1. Avoid being verbose: Don't supply 0 for the start index or the length of
      the sequence for the end index.
 - 2. Slicing is forgiving of start or end indexes that are out of bounds,
@@ -61,7 +61,7 @@ Python 3.
      indexes. Avoid negative stride values if possible.
 - 3. Avoid using start, end and stride together in a single slice. If you need
      all three parameters, consider doing two assignments (one to slice,
-     another to stride) or using islice form itertools built-in module.
+     another to stride) or using islice from itertools built-in module.
 
 
 ### [Item 7: Use list comprehensions instead of map and filter](item_07_list_not_map_filter.py) 
@@ -454,7 +454,7 @@ Python 3.
 - 2. Don't re-implement this functionality yourself. It's hard to get right.
 
 
-### [Item 47: Use decimal when precision ia paramount](item_47_use_decimal.py)
+### [Item 47: Use decimal when precision is paramount](item_47_use_decimal.py)
 - 1. Python has built-in types and classes in modules that can represent
     practically every type of numerical value.
 - 2. The Decimal class is ideal for situations that require high precision and
@@ -493,7 +493,7 @@ Python 3.
     that contains other source files. These files become that child modules
     of the directory's package. Package directories may also contain other
     packages.
-- 3. You can provide an explict API for a module by listing its publicly
+- 3. You can provide an explicit API for a module by listing its publicly
     visible name in its __all__ special attribute.
 - 4. You can hide a package's internal implementation by only importing public
     names in the package's __init__.py file or by naming internal-only
@@ -553,7 +553,7 @@ Python 3.
 - 2. Calling repr on built-in Python types will produce the printable string
     version of a value. These repr strings could be passed to the eval
     built-in function to get back the original value.
-- 3. %s in format strings will produce human-readable strings like str.%r will
+- 3. %s in format strings will produce human-readable strings like str. %r will
     produce printable strings like repr.
 - 4. You can define the __repr__ method to customize the printable
     representation of a class and provide more detailed debugging

item_01_version_of_python.py

@@ -10,7 +10,7 @@
 # readability (type import this).
 
 # Programmers familiar with other language may try to write Python as if it's
-# C++, Java, or whatever know best. New programmers may still be getting
+# C++, Java, or whatever they know best. New programmers may still be getting
 # comfortable with the vast range of concepts expressible in Python. It's
 # important for everyone to know the best--the Pythonic--way to do the most
 # common things in Python. These patterns will affect every program you write.
@@ -37,7 +37,7 @@
 
 # Things to Remember
 
-# 1. There are two major version of Python still in active use: Python 2 and
+# 1. There are two major versions of Python still in active use: Python 2 and
 #     Python 3.
 # 2. There are multiple popular runtimes for Python: CPython, Jython,
 #     IronPython, PyPy, etc.

item_02_PEP8Style.py

@@ -20,7 +20,7 @@
 # Naming: PEP 8 suggests unique styles of naming for different part in the
 # language.
 
-# 1. Functions, variables, and attributs should be in lovercase_underscore
+# 1. Functions, variables, and attributes should be in lowercase_underscore
 #     format.
 # 2. Protected instance attributes should be in _leading_underscore format.
 # 3. Private instance attributes should be in __double_leading_underscore

item_03_Difference_bytes_str_unicode.py

@@ -19,10 +19,10 @@
 # When you're writing Python programs, it's important to do encoding and
 # decoding of Unicode at the furthest boundary of your interfaces. The core of
 # your program should use Unicode character types (str in Python 3, unicode in
-# Python 2) and should not assume any thing about character encodings. This
+# Python 2) and should not assume anything about character encodings. This
 # approach allows you to be very accepting of alternative text encodings
 # (such as Latin-1, Shift  JIS, and Big5) while being strict about your output
-# text encoding (idealy, UTF-8).
+# text encoding (ideally, UTF-8).
 
 # The split between character types leads to two common situations in Python
 # code:

item_05_slice_sequence.py

@@ -5,7 +5,7 @@
 # access a subset of a sequence's items with minimal effort. The simplest uses
 # for slicing are the built-in types list, str, and bytes. Slicing can be
 # extended to any Python class that implements the __getitem__ and __setitem__
-# special methods (see Item 28: Inherit form collections.abc for custom
+# special methods (see Item 28: Inherit from collections.abc for custom
 # container types).
 
 # The basic form of the slicing syntax is somelist[start:end], where start is

item_06_avoid_using.py

@@ -17,7 +17,7 @@
 # ['orange', 'green', 'purple']
 
 
-# The problem is that the stride syntax ofter cause unexpected behavior that
+# The problem is that the stride syntax often cause unexpected behavior that
 # can introduce bugs. For example, a common Python trick for reversing a byte
 # string is to slice the string with a stride of -1.
 
@@ -103,4 +103,4 @@
 #     indexes. Avoid negative stride values if possible.
 # 3. Avoid using start, end and stride together in a single slice. If you need
 #     all three parameters, consider doing two assignments (one to slice,
-#     another to stride) or using islice form itertools built-in module.
+#     another to stride) or using islice from itertools built-in module.

item_07_list_not_map_filter.py

@@ -27,7 +27,7 @@
 # [1, 4, 9, 16, 25, 36, 49, 64, 81, 100]
 
 
-# Unlike may, list comprehensions let you easily filter items from the input
+# Unlike map, list comprehensions let you easily filter items from the input
 # list, removing corresponding outputs from the result. For example, say you
 # only want to compute the squares of the numbers that are divisible by 2.
 # Here, I do this by adding a conditional expression to the list