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How to Write Robust Python Code
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HayaoSuzuki
May 29, 2023
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How to Write Robust Python Code
BPStudy#189
https://bpstudy.connpass.com/event/283616/
HayaoSuzuki
May 29, 2023
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Transcript
ݎ࿚ͳ Python ίʔυΛॻ͘ํ๏ ʰϩόετ PythonʱΛಡ͏ Hayao Suzuki BPStudy#189 May 29,
2023
Who am I ? ͓લ୭Α ໊લ Hayao Suzukiʢླɹॣʣ Twitter @CardinalXaro
ࣄ Software Developer @ BeProud Inc. › גࣜձࣾϏʔϓϥυ › IT ษڧձࢧԉαʔϏε connpass › ΦϯϥΠϯֶशαʔϏε PyQ › γεςϜ։ൃͷͨΊͷυΩϡϝϯταʔϏε Tracery › 2023 5 ݄ 23 ʹཱ 17 पΛܴ͑ͨ 2 / 46
Who am I ? ༁ٕͨ͠ज़ॻ › ϩόετ Python(O’Reilly Japan) New!
› ೖ Python 3 ୈ 2 ൛ (O’Reilly Japan) ࠪಡٕͨ͠ज़ॻʢൈਮʣ › Effective Python ୈ 2 ൛ (O’Reilly Japan) › ϚΠΫϩϑϩϯτΤϯυ (O’Reilly Japan) › ϚΠΫϩαʔϏεΞʔΩςΫνϟ ୈ 2 ൛ (O’Reilly Japan) › SQL Ͱ͡ΊΔσʔλੳ (O’Reilly Japan) New! https://xaro.hatenablog.jp/ ʹϦετ͕͋Γ·͢ɻ 3 / 46
Who am I ? ൃදϦετʢൈਮʣ › ϨΨγʔ Django ΞϓϦέʔγϣϯͷݱԽ (DjangoCongress
JP 2018) › SymPy ʹΑΔࣜॲཧ (PyCon JP 2018) › Python ͱָ͠Ήॳ (PyCon mini Hiroshima 2019) › ܅ cmath Λ͍ͬͯΔ͔ (PyCon mini Shizuoka 2020) › ΠϯϝϞϦʔετϦʔϜ׆༻ज़ (PyCon JP 2020) › ΈࠐΈؔ pow ͷΒΕ͟ΔਐԽ (PyCon JP 2021) https://xaro.hatenablog.jp/ ʹϦετ͕͋Γ·͢ɻ 4 / 46
ࠓͷςʔϚ ݪஶʰRobust Pythonʱ ஶऀ Patrick Viafore ग़൛ࣾ O’Reilly Media ൃߦ
2021 7 ݄ ༁ʰϩόετ Pythonʱ ༁ऀ ླ ॣ ༁ɺඌ ߴ߂ ༁ ग़൛ࣾ O’Reilly Japan ൃߦ 2023 3 ݄ ඌ͞ΜɺླͷϖΞʰೖ Python 3 ୈ 2 ൛ʱҎདྷ 2 ճ 5 / 46
ࠓͷςʔϚ ʰϩόετ PythonʱΛಡ͏ › ͬ͟ͱɺͲΜͳࣄ͕ॻ͍ͯ͋Δͷ͔հ͠·͢ › 384 ϖʔδͷ༰Λ 30 ͰಡΜͩؾʹͳΖ͏ʂ
6 / 46
ϩόετ Python ͷߏ 4 ෦ߏ ୈ I ෦ ܕΞϊςʔγϣϯ ୈ
II ෦ Ϣʔβఆٛܕ ୈ III ෦ େنͳมߋͷରԠ ୈ IV ෦ ηʔϑςΟωοτͷߏங ͳ͓ɺୈ 1 ষʮϩόετ Python ೖʯಋೖͱͳΔষ 7 / 46
ैདྷͷٕज़ॻͱͷҧ͍ Python ͱܕώϯτ › ܕώϯτ Python 3.5 ͰಋೖʢPEP 484ʣ ›
Python 3.5 2015 9 ݄ʹϦϦʔε ܕώϯτͷ͚ํ͢ͰʹͬͯΔΑ › ܕώϯτͷ͚ํͷղઆهࣄॻ੶ଟ͍ʢ8 ͷੵʣ › ܕώϯτͷӡ༻ํ๏ߟ͑ํʹ౿ΈࠐΜͩຊଘࡏ͢Δͷ͔ ͦͦɺதڃऀҎ্͚ͷ Python ຊͷઈର͕গͳ͍ΑͶ 8 / 46
ϩόετ Python ͷ͕͍͜͜͢͝ ϩόετ Python ͷಛ › ܕώϯτʹ͍ͭͯ 14 ষʹΘͨͬͯৄࡉʹղઆʢୈ
I ෦ɺୈ II ෦ʣ › ϩόετͳઃܭʢୈ III ෦ʣ › ܕώϯτܕ͚ͩͰΧόʔ͖͠Εͳ͍ཁૉରԠʢୈ IV ෦ʣ 9 / 46
ϩόετ Python ͷओ ʰϩόετ Pythonʱ͕ݴ͍͍ͨ͜ͱ › σʔλܕͱίϛϡχέʔγϣϯखஈͰ͋Δ › ͕ࣗίʔυͰදݱ͍ͨ͜͠ͱΛσʔλܕΛͬͯ໌֬ʹ͑Α͏ 10
/ 46
ୈ 1 ষ ϩόετ Python ೖ ϩόετ Python ͬͯͲΜͳຊ ཁ͢Δʹɺຊॻϩόετʢؤৎ/ؤ݈/ݎ࿚ʣͳ
Python Λॻͨ͘ΊͷຊͰ͋Δɻ ʢP. 1ʣ ͦͦϩόετͬͯԿʁ ίʔυϕʔεͷϩόετωεͱɺઈ͑ͣมԽͯ͠ٱੑ͕ߴ͘ɺΤϥʔΛى͜͞ͳ ͍͜ͱͰ͋Δɻ ʢP. 4ʣ 11 / 46
ୈ 1 ষ ϩόετ Python ೖ ͳͥϩόετʹ͢Δඞཁ͕͋Δͷ͔ʁ ͦͷ͑ͷ֩৺ίϛϡχέʔγϣϯʹ͋Δɻ ʢதུʣͦͷͨΊʹɺকདྷͷϝϯςφ ͱձΘͳͯࣗ͘ͷڌͱҙਤ͕ΘΔΑ͏ʹ͍ͨ͠ɻ
12 / 46
ୈ 1 ষ ϩόετ Python ೖ ྫɿ ԿΛ͢ΔؔͰ͠ΐ͏͔ʁ def adjust_recipe(recipe,
servings): old_servings = recipe.pop(0) factor = servings / old_servings # ؆୯ʹܭଌͰ͖Δ͚ͩΛ͍ͬͯͩ͘͞ new_recipe = {ingredient: (amount * factor, unit) for ingredient, amount, unit in recipe} new_recipe["servings"] = servings return new_recipe 13 / 46
ୈ 1 ষ ϩόετ Python ೖ ίϛϡχέʔγϣϯͷྨ ۙੑ ใͷൃ৴ऀͱड৴ऀͷؒʹ͋Δ࣌ؒతͳڑ ίετ
ίϛϡχέʔγϣϯʹඞཁͳ࿑ྗ 14 / 46
ୈ 1 ষ ϩόετ Python ೖ ͳͥϩόετʹ͢Δඞཁ͕͋Δͷ͔ʁ ͦͷ͑ͷ֩৺ίϛϡχέʔγϣϯʹ͋Δɻ ʢதུʣͦͷͨΊʹɺকདྷͷϝϯςφ ͱձΘͳͯࣗ͘ͷڌͱҙਤ͕ΘΔΑ͏ʹ͍ͨ͠ɻ
ͦͷͨΊʹʁ ະདྷͷϝϯςφʹҙਤΛ͑ΔʹɺίετͰۙੑ͕ෆཁͳίϛϡχέʔγϣϯ͕ ඞཁͰ͋Δɻ 15 / 46
ୈ 1 ষ ϩόετ Python ೖ ίετͰۙੑ͕ෆཁͳίϛϡχέʔγϣϯ › ίʔυΛಡΉ͚ͩͰཧղͰ͖ΕΑ͍ ›
ίʔυΛཧղ͢Δͷʹඞཁͳ࣌ؒΛ࠷খݶʹ͍͑ͨ ͦͷͨΊʹʁ σʔλܕͷબকདྷͷ։ൃऀʹରͯࣗ͠ͷҙਤΛදݱ͢Δ͜ͱͰ͋Γɺਖ਼͍͠σʔ λܕΛબ͢Εอकੑ্͕͢Δɻ ʢP. 19ʣ 16 / 46
ୈ 1 ষ ϩόετ Python ೖ ྫɿ ԿΛ͢ΔؔͰ͠ΐ͏͔ʁ from fractions
import Fraction def adjust_recipe(recipe: Recipe, servings: int) -> Recipe: # ࡐྉσʔλͷίϐʔΛ࡞Δ new_ingredients = list(recipe.get_ingredients()) recipe.clear_ingredients() for ingredient in new_ingredients: ingredient.adjust_proportion( Fraction(servings, recipe.servings) ) return Recipe(servings, new_ingredients) 17 / 46
ୈ I ෦ ܕΞϊςʔγϣϯ 2 ষ Python σʔλܕೖ › Python
ڧ͍ܕ͚ݴޠ › Python ಈతܕ͚ݴޠ ಈతܕ͚ݴޠຊ࣭తʹϩόετͰͳ͍ͷ͔ › ಈతܕ͚ݴޠͰϩόετʹॻ͚Δɺগ͠େมͳ͚ͩ › ੩తܕ͚ݴޠͷ߹ΑΓΑ͘ߟ͑Δඞཁ͕͋Δ › ੩తܕ͚ݴޠΛ͑ඞͣ͠ϩόετʹॻ͚ΔΘ͚Ͱͳ͍ 18 / 46
ୈ I ෦ ܕΞϊςʔγϣϯ 3 ষ ܕΞϊςʔγϣϯ › ܕώϯτͷߏจతͳ͚ํ͍ͬͯΔΑͶʢ8 ͷੵʣ
› ܕώϯτπʔϧʢmypy ͳͲʣͱΈ߹ΘͤͯਅՁΛൃش͢Δ ܕώϯτ mypy λμͰͳ͍ › ެ։ APIɺϥΠϒϥϦͷΤϯυϙΠϯτ › ෳࡶͳܕɺΘ͔Γʹ͍͘ܕ › mypy ઌੜͷࢦࣔʹै͏ 19 / 46
ୈ I ෦ ܕΞϊςʔγϣϯ 4 ষ ܕ੍ › Optional Ͱ͵ΔΆόάΛ௵ͦ͏
› Union ͰදݱՄೳͳঢ়گΛݮͦ͏ › Literal Ͱ͞Βʹ੍Λ͔͚Α͏ › Final ͰఆͰ͋Δͱओு͠Α͏ › NewType ͰજࡏతͳόάΛ௵ͦ͏ Annotated ͷ͜ͱɺ࣌ʑͰ͍͍͔Βɺࢥ͍ग़͍ͯͩ͘͠͞ › ҙͷϝλσʔλΛՃͰ͖Δ͕ɺ୯ͳΔϝλσʔλ › ઐ༻ͷπʔϧ͕Ͱ͖ͨΒ͘ͳΔ͔ 20 / 46
ୈ I ෦ ܕΞϊςʔγϣϯ ྫɿ දݱՄೳͳঢ়ଶԿ௨Γʁ @dataclass class Snack: name:
str # 3 ௨Γ condiments: set[str] # 4 ௨Γ error_code: int # 6 ௨Γʢޭ͕ 0 Τϥʔ͕ 1 ͔Β 5ʣ disposed_of: bool # 2 ௨Γ snack = Snack("Hotdog", {"Mustard", "Ketchup"}, 5, False) ͑ɿ3 ˆ 4 ˆ 6 ˆ 2 = 144 ௨ΓɻNone ڐ༰͢Δͱʁ 21 / 46
ୈ I ෦ ܕΞϊςʔγϣϯ ྫɿ දݱՄೳͳঢ়ଶԿ௨Γʁ @dataclass class Snack: name:
str # 3 ௨Γ condiments: set[str] # 4 ௨Γ @dataclass class Error: error_code: int # 5 ௨ΓʢޭύλʔϯΛऔΓআ͚Δʣ disposed_of: bool # 2 ௨Γ snack: Union[Snack, Error] = Snack("Hotdog", {"Mustard", "Ketchup"}) ͑ɿ3 ˆ 4 + 5 ˆ 2 = 22 ௨Γɻ 22 / 46
ୈ I ෦ ܕΞϊςʔγϣϯ 5 ষ ίϨΫγϣϯܕ › ಉछίϨΫγϣϯͱҟछίϨΫγϣϯͷ֓೦Λཧղ͠Α͏ ಉछίϨΫγϣϯ
֨ೲ͞Εͨͯ͢ͷ͕ಉ͡σʔλܕͰ͋ΔίϨΫγϣϯ ҟछίϨΫγϣϯ ҟͳΔσʔλܕΛؚΉίϨΫγϣϯ 23 / 46
ୈ I ෦ ܕΞϊςʔγϣϯ యܕతͳྫɿJSON Λࣙॻʹม͢Δ › dict[str, Union[str, int,
float, None]] ͷΑ͏ͳܕॻ͖ͨ͘ͳ͍ʂ › dict[str, Any] Ͱܕώϯτ͕ܗͳͩ͠ʂ ͦΜͳ࣌ TypedDict ܕώϯτΛଂͨࣙ͠ॻ ͦΜͳ࣌ dataclass ࣗͰ JSON ͷܗࣜΛ੍ޚͰ͖ΔͳΒ dataclass ͕Α͍ɻ 24 / 46
ୈ I ෦ ܕΞϊςʔγϣϯ 6 ষ ܕνΣοΧͷΧελϚΠζ › mypy Ͱ
Optional None ʹؔ͢ΔνΣοΫΛ༗ޮʹ͢Δͱྑ͍Α › mypy ͕͍ʁ ͳΒσʔϞϯϞʔυϦϞʔτΩϟογϡͰߴԽ͠Α͏ ܕνΣοΧ mypy ͚ͩ͡Όͳ͍ Pyre Facebook ɺ੩తղੳπʔϧ Pysa ͍ͭͯ͘Δ Pyright Microsoft ɺVSCode ֦ுͷ Pylance ͷϕʔε 25 / 46
ୈ I ෦ ܕΞϊςʔγϣϯ 7 ষ ࣮ફతͳܕνΣοΫͷಋೖ ϖΠϯϙΠϯτΛಛఆͯ͠ίετΛ͔͚ա͗ͣʹܕώϯτΛ͍ΕΑ͏ ·͔ͣ͜͜Β ›
৽نίʔυͷΈܕώϯτ › ϘτϜΞοϓʢϢʔςΟϦςΟɺϥΠϒϥϦʣʹܕώϯτ › རӹΛੜΈग़͢ϏδωεϩδοΫʹܕώϯτ › Α͘ॻ͖͑Δॴʹܕώϯτ › ෳࡶͳ෦ʹܕώϯτ › MonkeyType Pytype Ͱࣗಈతʹ༩༗ޮ͔ 26 / 46
ୈ II ෦ Ϣʔβఆٛܕ 8 ষ ྻڍܕ ੩తͳͷίϨΫγϣϯ͔ΒΛ 1 ͚ͭͩදݱ͍ͨ͠߹ʹ͏
ྻڍܕͷΞϯνύλʔϯ › ಈతʹ͕มԽ͢ΔྻڍܕɻࣙॻΛ͓͏ɻ › IntEnum IntFlag ޙํޓੑͷͨΊʹ͏ɻ৽نʹ͏ͷόάͷݩɻ 27 / 46
ୈ II ෦ Ϣʔβఆٛܕ 9 ষ σʔλΫϥε Python ͷੈքΛେ͖͘ม͑ͨσʔλΫϥεʢݪஶऀҰԡ͠ʣ σʔλΫϥεͷ͍Ͳ͜Ζ
› ҟछίϨΫγϣϯσʔλΫϥεɺࣙॻಉछίϨΫγϣϯ › TypedDict ͱσʔλΫϥεɺ·ͣσʔλΫϥεΛݕ౼͠Α͏ › namedtuple ޙํޓੑͷͨΊʹ͏ σʔλΫϥεສೳͳͷ͔ʁ › σʔλΫϥεଐੑಉ͕࢜ಠཱ͍ͯ͠Δ߹ͷΈ༗ޮ 28 / 46
ୈ II ෦ Ϣʔβఆٛܕ 10 ষ Ϋϥε › ܅Ϋϥεͷຊͷ͍Ͳ͜ΖΛ͍ͬͯΔ͔ ›
ΫϥεͱɺෆมࣜͰ͋Δʢචऀͷςʔθʣ 29 / 46
ୈ II ෦ Ϣʔβఆٛܕ 11 ষ ΠϯλϑΣʔε › ͍͍͢ΠϯλϑΣʔεͱ ›
͜ͷষ؍೦తͰ͋Δ ͍͍͢ΠϯλϑΣʔεΛٴ͢Δ › ར༻ऀͷΑ͏ʹߟ͑ΔʢTDDɺREADME ۦಈ։ൃɺϢʔβϏϦςΟςετʣ › ಛघϝιουɺίϯςΩετϚωʔδϟͷ׆༻ 30 / 46
ୈ II ෦ Ϣʔβఆٛܕ 12 ষ ෦ܕ › ܧঝஔՄೳੑʢLiskov ͷஔݪଇʣʹҙ͢Δ
› ܧঝΑΓίϯϙδγϣϯʢ߹ʣ ਖ਼ํܗํܗ͔ʁ › ֶతʹɺਖ਼ํܗํܗͰ͋Δɻ › ਖ਼ํܗΛํܗͷܧঝͱͯ͠ද͢ͱഁ͢Δɻ ɿਖ਼ํܗͱํܗͷఆٛΛड़Αɻ·ͨɺ໋ʮਖ਼ํܗํܗͰ͋ΔʯΛਖ਼ํܗͱ ํܗͷఆٛʹج͍ͮͯূ໌ͤΑɻ 31 / 46
ୈ II ෦ Ϣʔβఆٛܕ 13 ষ ϓϩτίϧ › ੩తܕνΣοΧͷ݀ΛຒΊΔଘࡏ ›
μοΫλΠϐϯάͱ੩తܕνΣοΧΛͭͳ͙ϓϩτίϧ › ߏత෦ܕͱ໊త෦ܕΛͭͳ͙ϓϩτίϧ 32 / 46
ୈ II ෦ Ϣʔβఆٛܕ ߏత෦ܕɿσʔλܕͷߏΛجૅͱ͢Δ෦ܕ class ShuffleIterator: def __iter__(self): ...
def __next__(self): ... ໊త෦ܕɿσʔλܕͷ໊લΛجૅͱ͢Δ෦ܕ class ShuffleIterator(Iterator): ... 33 / 46
ୈ II ෦ Ϣʔβఆٛܕ 14 ষ pydantic ʹΑΔ࣮ߦ࣌ܕνΣοΫ › ੩తܕνΣοΧͷ݀ΛຒΊΔଘࡏ
› ࣗવʹೖྗͳͲΛνΣοΫͰ͖Δ pydantic ύʔεϥΠϒϥϦͰ͋Δ › int ͳΒ “123” 5.5 int ʹม͢Δ › StrictInt ͳͲΛ͏ඞཁ͋Δ͔ 34 / 46
ୈ III ෦ େنͳมߋͷରԠ 15 ষ ֦ுੑ › ֦ுੑͱɺγεςϜͷطଘ෦Λมߋͤͣʹ৽ػೳΛՃͰ͖Δͱ͍͏γες Ϝͷੑ࣭
› ։์ดͷݪଇ͕ϕʔεʢͲͪΒ͕ઌͩΖ͏͔ʁʣ ݪଇҧͷݟ͚ͭํ › ؆୯ͳ͜ͱ͕͘͠ͳ͍ͬͯͳ͍͔ › ྨࣅͷػೳͷ࣮͕Ε͍ͯͳ͍͔ › ݟੵΓ͕͍ͭେنʹͳ͍ͬͯͳ͍͔ › ίϛοτʹେنͳؚ͕ࠩ·Ε͍ͯͳ͍͔ 35 / 46
ୈ III ෦ େنͳมߋͷରԠ 16 ষ ґଘؔ ґଘؔ 3 छྨ͋Δ
› ཧతґଘؔ › ཧతґଘؔ › ࣌ؒతґଘؔ ґଘؔΛՄࢹԽͤΑ › αʔυύʔςΟϥΠϒϥϦಉ࢜ͷґଘؔ › ΠϯϙʔτϞδϡʔϧؒͷґଘؔ › ؔͷݺͼग़͠ͷՄࢹԽ 36 / 46
ୈ III ෦ େنͳมߋͷରԠ 17 ষ ίϯϙʔβϏϦςΟ ίʔυΛϙϦγʔͱϝΧχζϜʹͤΑ ϙϦγʔ ϏδωεχʔζΛղܾ͢ΔͨΊͷͷΛ୲͏ίʔυ
ϝΧχζϜ ϙϦγʔΛ࣮ݱ͢ΔΈΛఏڙ͢Δίʔυ 37 / 46
ୈ III ෦ େنͳมߋͷରԠ ྫɿ ϙϦγʔͱϝΧχζϜͷ def repeat(times: int =
1) -> collections.abc.Callable def _repeat(func: collections.abc.Callable): @functools.wrap(func) def _wrapper(*args, **kwargs): for _ in range(times): func(*args, **kwargs) return _wrapper return _repeat ϝΧχζϜʢؔΛ܁Γฦ͠ݺͼग़͢ʣͱϙϦγʔʢؔͷதʣΛσίϨʔλͰ ͢Δɻ 38 / 46
ୈ III ෦ େنͳมߋͷରԠ 18 ষͱ 19 ষ 15 ষʮ֦ுੑʯ
ɺ16 ষʮґଘؔʯ ɺ17 ষʮίϯϙʔβϏϦςΟʯͷ۩ମྫͱͯ͠ಡ ͏ɻ ۩ମతͳઃܭʹ͍ͭͯΦϥΠϦʔ͔Β͍͍ຊ͕ͰΔΒ͍͠...ʁ 39 / 46
ୈ IV ෦ ηʔϑςΟωοτͷߏங 20 ষ ੩తղੳ ੩తղੳ ຊॻͰ Pylint
͕հ͞Ε͍ͯΔ͕ɺݸਓతʹ flake8 ͕Α͍ͱࢥͬ ͍ͯΔɻ ෳࡶνΣοΧ MeCabe ͷ॥తෳࡶɺۭനώϡʔϦεςΟΫε ηΩϡϦςΟ Bandit ੩తղੳ͚ͩʹߜ͍͚ͬͯͳ͍ ෳͷղੳπʔϧΛಋೖͯ͠ӴઢΛෳߏங͠Α͏ 40 / 46
ୈ IV ෦ ηʔϑςΟωοτͷߏங 21 ষ ςετઓུ ҎԼͷ 2 ΛಡΜͰ͍ΔਓʹͷͨΓͳ͍͔͠Εͳ͍ɻ
› ςετۦಈ Pythonʢᠳӭࣾʣ › ୯ମςετͷߟ͑ํʗ͍ํʢϚΠφϏग़൛ʣ pytest Λ͏ͱࣗવʹ࣮ફͰ͖Δ͔͠Εͳ͍ 41 / 46
ୈ IV ෦ ηʔϑςΟωοτͷߏங 22 ষ ड͚ೖΕςετ Gherkin ݴޠΛհ͍ͯ͠Δ͕ɺݸਓతʹͲ͏ͩΖ͏ɺͱ͍͏ɻ ͋ΔϓϩάϥϚͷࢥ͍ग़
աڈɺࣄΛ࢝Ί͔ͨΓͷࠒɺ·ͱʹϓϩάϥϛϯά͕Ͱ͖ͳ͍ঢ়ଶͰ BDD Cucumber ΛؚΉ Ruby on Rails ͷνϡʔτϦΞϧΛಡΜͰɺBDD Cucumber ͕ۤखʹͳͬͨɻͦΕΛະͩʹҾ͖͍ͣͬͯΔͷ͔͠Εͳ͍ɻ 42 / 46
ୈ IV ෦ ηʔϑςΟωοτͷߏங 23 ষ ϓϩύςΟϕʔεςετ Hypothesis ʹΑΔϓϩύςΟϕʔεςετͷհ ϓϩύςΟϕʔεςετͱ
ݻఆͨ͠ೖग़ྗʹجͮ͘ςετͰͳ͘ɺೖग़ྗ͕ຬ͖ͨ͢ੑ࣭Λهड़͢Δςετɻ ͦͷੑ࣭Λຬͨ͢Λπʔϧ͕ࣗಈੜͯ͠ςετέʔεΛੜ͢Δɻ 43 / 46
ୈ IV ෦ ηʔϑςΟωοτͷߏங 24 ষ ϛϡʔςʔγϣϯςετ mutmut ʹΑΔϛϡʔςʔγϣϯςετͷհ ϛϡʔςʔγϣϯςετͱ
ςετࣗମΛςετ͢ΔςετɻιʔείʔυΛπʔϧͰॻ͖͑ͯطଘͷςετΛ Βͤͯɺςετ͕ޭͯ͠͠·ͬͨͷΛᖰΓͩ͢ɻ 44 / 46
·ͱΊ ʰϩόετ Pythonʱ͕ݴ͍͍ͨ͜ͱ › σʔλܕͱίϛϡχέʔγϣϯखஈͰ͋Δ › ͕ࣗίʔυͰදݱ͍ͨ͜͠ͱΛσʔλܕΛͬͯ໌֬ʹ͑Α͏ 45 / 46
·ͱΊ ͬͦ͘͞ߪೖ͠Α͏ › https://www.oreilly.co.jp/books/9784814400171/ › https://www.ohmsha.co.jp/book/9784814400171/ ΦϥΠϦʔֶशϓϥοτϑΥʔϜͱ › https://www.oreilly.co.jp/online-learning/ ›
6 ສҎ্ͷॻ੶ʢຊޠॻ੶͋Δʂʣ › 3 ສ࣌ؒҎ্ͷಈը › ۀքΤΩεύʔτʹΑΔϥΠϒΠϕϯτ › ΠϯλϥΫςΟϒͳγφϦΦͱαϯυϘοΫεΛ࣮ͬͨફతͳֶश › ެࣜೝఆࢼݧରࡦࢿྉ › ʰϩόετ PythonʱΦϥΠϦʔֶशϓϥοτϑΥʔϜͰಡΈ์ʢ༧ఆʣ 46 / 46