Revision of Is Pythonic?

kristofer gist felülvizsgálása 1731080193. Revízióhoz ugrás

1 file changed, 7 insertions

ispythonic.md

			@@ -137,6 +137,13 @@ from collections import defaultdict
137	137		counts = defaultdict(int)
138	138		for word in words:
139	139		counts[word] += 1
	140	+
	141	+	# OR
	142	+
	143	+	counts = {}
	144	+	for word in words::
	145	+	counts[word] = dcounts.get(word, 0) + 1
	146	+
140	147		```
141	148
142	149

kristofer gist felülvizsgálása 1731080096. Revízióhoz ugrás

1 file changed, 9 insertions, 9 deletions

is-pythonic.md fájl átnevezve erre: ispythonic.md

			@@ -2,7 +2,7 @@ Pythonic" code refers to code that is written in a way that is idiomatic to Pyth
2	2		taking advantage of its features and conventions to produce clear, concise, and readable code.
3	3		Here are some examples showcasing Pythonic principles:
4	4
5		-	*** 1. List Comprehensions
	5	+	### 1. List Comprehensions
6	6
7	7		Not Pythonic:
8	8
			@@ -17,7 +17,7 @@ Pythonic:
17	17		squares = [x**2 for x in range(10)]
18	18		```
19	19
20		-	=== 2. Using enumerate()
	20	+	### 2. Using enumerate()
21	21
22	22		Not Pythonic:
23	23
			@@ -34,7 +34,7 @@ for index, value in enumerate(my_list):
34	34		print(index, value)
35	35		```
36	36
37		-	=== 3. Using zip()
	37	+	### 3. Using zip()
38	38
39	39		Not Pythonic:
40	40
			@@ -50,7 +50,7 @@ Pythonic:
50	50		combined = list(zip(names, ages))
51	51		```
52	52
53		-	=== 4. Using with for File Operations
	53	+	### 4. Using with for File Operations
54	54
55	55		Not Pythonic:
56	56
			@@ -66,7 +66,7 @@ with open('data.txt', 'r') as file:
66	66		data = file.read()
67	67		```
68	68
69		-	=== 5. Using Generators for Efficient Iteration
	69	+	### 5. Using Generators for Efficient Iteration
70	70
71	71		Not Pythonic:
72	72
			@@ -85,7 +85,7 @@ def get_even_numbers(n):
85	85		return (i for i in range(n) if i % 2 == 0)
86	86		```
87	87
88		-	=== 6. Using any() and all()
	88	+	### 6. Using any() and all()
89	89
90	90		Not Pythonic:
91	91
			@@ -100,7 +100,7 @@ Pythonic:
100	100		has_values = bool(my_list)
101	101		```
102	102
103		-	=== 7. Conditional Expressions (Ternary Operator)
	103	+	### 7. Conditional Expressions (Ternary Operator)
104	104
105	105		Not Pythonic:
106	106
			@@ -116,7 +116,7 @@ Pythonic:
116	116		result = 'Yes' if condition else 'No'
117	117		```
118	118
119		-	=== 8. Leveraging Default Dictionary
	119	+	### 8. Leveraging Default Dictionary
120	120
121	121		Not Pythonic:
122	122
			@@ -140,7 +140,7 @@ for word in words:
140	140		```
141	141
142	142
143		-	=== Conclusion
	143	+	### Conclusion
144	144
145	145		Pythonic code emphasizes readability and efficiency, often leveraging built-in functions and
146	146		language features to reduce boilerplate code.

kristofer gist felülvizsgálása 1731080017. Revízióhoz ugrás

1 file changed, 1 insertion, 1 deletion

is-pythonic.md

			@@ -2,7 +2,7 @@ Pythonic" code refers to code that is written in a way that is idiomatic to Pyth
2	2		taking advantage of its features and conventions to produce clear, concise, and readable code.
3	3		Here are some examples showcasing Pythonic principles:
4	4
5		-	=== 1. List Comprehensions
	5	+	*** 1. List Comprehensions
6	6
7	7		Not Pythonic:
8	8

kristofer gist felülvizsgálása 1731079972. Revízióhoz ugrás

1 file changed, 148 insertions

is-pythonic.md(fájl létrehozva)

		@@ -0,0 +1,148 @@
1	+	Pythonic" code refers to code that is written in a way that is idiomatic to Python,
2	+	taking advantage of its features and conventions to produce clear, concise, and readable code.
3	+	Here are some examples showcasing Pythonic principles:
4	+
5	+	=== 1. List Comprehensions
6	+
7	+	Not Pythonic:
8	+
9	+	```python
10	+	squares = []
11	+	for x in range(10):
12	+	squares.append(x**2)
13	+	```
14	+
15	+	Pythonic:
16	+	```python
17	+	squares = [x**2 for x in range(10)]
18	+	```
19	+
20	+	=== 2. Using enumerate()
21	+
22	+	Not Pythonic:
23	+
24	+	```python
25	+	index = 0
26	+	for value in my_list:
27	+	print(index, value)
28	+	index += 1
29	+	```
30	+	Pythonic:
31	+
32	+	```python
33	+	for index, value in enumerate(my_list):
34	+	print(index, value)
35	+	```
36	+
37	+	=== 3. Using zip()
38	+
39	+	Not Pythonic:
40	+
41	+	```python
42	+	names = ['Alice', 'Bob', 'Charlie']
43	+	ages = [24, 30, 22]
44	+	combined = []
45	+	for i in range(len(names)):
46	+	combined.append((names[i], ages[i]))
47	+	```
48	+	Pythonic:
49	+	```python
50	+	combined = list(zip(names, ages))
51	+	```
52	+
53	+	=== 4. Using with for File Operations
54	+
55	+	Not Pythonic:
56	+
57	+	```python
58	+	file = open('data.txt', 'r')
59	+	data = file.read()
60	+	file.close()
61	+	```
62	+	Pythonic:
63	+
64	+	```python
65	+	with open('data.txt', 'r') as file:
66	+	data = file.read()
67	+	```
68	+
69	+	=== 5. Using Generators for Efficient Iteration
70	+
71	+	Not Pythonic:
72	+
73	+	```python
74	+	def get_even_numbers(n):
75	+	even_numbers = []
76	+	for i in range(n):
77	+	if i % 2 == 0:
78	+	even_numbers.append(i)
79	+	return even_numbers
80	+	```
81	+	Pythonic:
82	+
83	+	```python
84	+	def get_even_numbers(n):
85	+	return (i for i in range(n) if i % 2 == 0)
86	+	```
87	+
88	+	=== 6. Using any() and all()
89	+
90	+	Not Pythonic:
91	+
92	+	```python
93	+	if len(my_list) > 0:
94	+	has_values = True
95	+	else:
96	+	has_values = False
97	+	```
98	+	Pythonic:
99	+	```python
100	+	has_values = bool(my_list)
101	+	```
102	+
103	+	=== 7. Conditional Expressions (Ternary Operator)
104	+
105	+	Not Pythonic:
106	+
107	+	```python
108	+	if condition:
109	+	result = 'Yes'
110	+	else:
111	+	result = 'No'
112	+	```
113	+
114	+	Pythonic:
115	+	```python
116	+	result = 'Yes' if condition else 'No'
117	+	```
118	+
119	+	=== 8. Leveraging Default Dictionary
120	+
121	+	Not Pythonic:
122	+
123	+	```python
124	+	counts = {}
125	+	for word in words:
126	+	if word in counts:
127	+	counts[word] += 1
128	+	else:
129	+	counts[word] = 1
130	+	```
131	+
132	+	Pythonic:
133	+
134	+	```python
135	+	from collections import defaultdict
136	+
137	+	counts = defaultdict(int)
138	+	for word in words:
139	+	counts[word] += 1
140	+	```
141	+
142	+
143	+	=== Conclusion
144	+
145	+	Pythonic code emphasizes readability and efficiency, often leveraging built-in functions and
146	+	language features to reduce boilerplate code.
147	+	By adopting these idioms, you can write code that is not only functional but also
148	+	elegant and easy to understand.

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