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ispythonic.md
| @@ -1,4 +1,4 @@ | |||
| 1 | - | Pythonic" code refers to code that is written in a way that is idiomatic to Python, | |
| 1 | + | **Pythonic** code refers to code that is written in a way that is idiomatic to Python, | |
| 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 | ||
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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 | ||
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1 file changed, 9 insertions, 9 deletions
is-pythonic.md přejmenováno na 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. | |
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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 | ||
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1 file changed, 148 insertions
is-pythonic.md(vytvořil soubor)
| @@ -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. | |