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🌟 TARIFF β€” инструмСнт, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΉ Π²Ρ‹ Ρ€Π΅Π°Π»ΡŒΠ½ΠΎ ΠΆΠ΄Π°Π»ΠΈ, Python-ΠΏΠ°ΠΊΠ΅Ρ‚, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΉ Π΄Π΅Π»Π°Π΅Ρ‚ ΠΈΠΌΠΏΠΎΡ€Ρ‚Ρ‹ Β«Π’Π΅Π»ΠΈΠΊΠΈΠΌΠΈΒ» снова.

Π˜Π½ΡΡ‚Ρ€ΡƒΠΌΠ΅Π½Ρ‚ позволяСт Π²Π²ΠΎΠ΄ΠΈΡ‚ΡŒ "ΠΏΠΎΡˆΠ»ΠΈΠ½Ρ‹" Π½Π° Python-Π±ΠΈΠ±Π»ΠΈΠΎΡ‚Π΅ΠΊΠΈ, замСдляя Π·Π°Π³Ρ€ΡƒΠ·ΠΊΡƒ ΠΎΠΏΡ€Π΅Π΄Π΅Π»Ρ‘Π½Π½Ρ‹Ρ… ΠΏΠ°ΠΊΠ΅Ρ‚ΠΎΠ², Ρ‡Ρ‚ΠΎΠ±Ρ‹ ΠΏΠΎΠ΄Ρ‡Π΅Ρ€ΠΊΠ½ΡƒΡ‚ΡŒ идСю "экономичСского ΠΏΡ€ΠΎΡ‚Π΅ΠΊΡ†ΠΈΠΎΠ½ΠΈΠ·ΠΌΠ°" Π² ΠΊΠΎΠ΄Π΅.​

βœ”οΈ ΠžΡΠ½ΠΎΠ²Π½Ρ‹Π΅ особСнности
Π˜ΠΌΠΈΡ‚Π°Ρ†ΠΈΡ Ρ‚Π°Ρ€ΠΈΡ„ΠΎΠ² Π½Π° ΠΈΠΌΠΏΠΎΡ€Ρ‚Ρ‹: ΠΏΠΎΠ»ΡŒΠ·ΠΎΠ²Π°Ρ‚Π΅Π»ΡŒ ΠΌΠΎΠΆΠ΅Ρ‚ ΡƒΡΡ‚Π°Π½ΠΎΠ²ΠΈΡ‚ΡŒ "Ρ‚Π°Ρ€ΠΈΡ„Ρ‹" (Π² ΠΏΡ€ΠΎΡ†Π΅Π½Ρ‚Π°Ρ…) Π½Π° ΠΎΠΏΡ€Π΅Π΄Π΅Π»Ρ‘Π½Π½Ρ‹Π΅ ΠΏΠ°ΠΊΠ΅Ρ‚Ρ‹, Π½Π°ΠΏΡ€ΠΈΠΌΠ΅Ρ€:​



import tariff

tariff.set({
"numpy": 50, # 50% Ρ‚Π°Ρ€ΠΈΡ„ Π½Π° numpy
"pandas": 200, # 200% Ρ‚Π°Ρ€ΠΈΡ„ Π½Π° pandas
"requests": 150 # 150% Ρ‚Π°Ρ€ΠΈΡ„ Π½Π° requests
})


β–ͺ Π—Π°ΠΌΠ΅Π΄Π»Π΅Π½ΠΈΠ΅ ΠΈΠΌΠΏΠΎΡ€Ρ‚Π°: ΠΏΡ€ΠΈ ΠΈΠΌΠΏΠΎΡ€Ρ‚Π΅ ΡƒΠΊΠ°Π·Π°Π½Π½Ρ‹Ρ… ΠΏΠ°ΠΊΠ΅Ρ‚ΠΎΠ² врСмя Π·Π°Π³Ρ€ΡƒΠ·ΠΊΠΈ увСличиваСтся ΠΏΡ€ΠΎΠΏΠΎΡ€Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎ установлСнному Ρ‚Π°Ρ€ΠΈΡ„Ρƒ.​

Π’Ρ‹Π²ΠΎΠ΄ сообщСний: ΠΏΡ€ΠΈ ΠΊΠ°ΠΆΠ΄ΠΎΠΌ "ΠΎΠ±Π»ΠΎΠΆΠ΅Π½Π½ΠΎΠΌ Ρ‚Π°Ρ€ΠΈΡ„ΠΎΠΌ" ΠΈΠΌΠΏΠΎΡ€Ρ‚Π΅ выводится сообщСниС Π² стилС политичСской Ρ€ΠΈΡ‚ΠΎΡ€ΠΈΠΊΠΈ, Π½Π°ΠΏΡ€ΠΈΠΌΠ΅Ρ€:​

JUST IMPOSED a 50% TARIFF on numpy! Original import took 45000 us, now takes 67500 us. American packages are WINNING AGAIN! #MIPA

Π‘ΠΈΠ±Π»ΠΈΠΎΡ‚Π΅ΠΊΠ° ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΠ΅Ρ‚ monkey-patching для ΠΏΠ΅Ρ€Π΅Ρ…Π²Π°Ρ‚Π° ΠΈ ΠΌΠΎΠ΄ΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΠΈ процСсса ΠΈΠΌΠΏΠΎΡ€Ρ‚Π°.​

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🌟 TARIFF β€” инструмСнт, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΉ Π²Ρ‹ Ρ€Π΅Π°Π»ΡŒΠ½ΠΎ ΠΆΠ΄Π°Π»ΠΈ, Python-ΠΏΠ°ΠΊΠ΅Ρ‚, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΉ Π΄Π΅Π»Π°Π΅Ρ‚ ΠΈΠΌΠΏΠΎΡ€Ρ‚Ρ‹ Β«Π’Π΅Π»ΠΈΠΊΠΈΠΌΠΈΒ» снова.

Π˜Π½ΡΡ‚Ρ€ΡƒΠΌΠ΅Π½Ρ‚ позволяСт Π²Π²ΠΎΠ΄ΠΈΡ‚ΡŒ "ΠΏΠΎΡˆΠ»ΠΈΠ½Ρ‹" Π½Π° Python-Π±ΠΈΠ±Π»ΠΈΠΎΡ‚Π΅ΠΊΠΈ, замСдляя Π·Π°Π³Ρ€ΡƒΠ·ΠΊΡƒ ΠΎΠΏΡ€Π΅Π΄Π΅Π»Ρ‘Π½Π½Ρ‹Ρ… ΠΏΠ°ΠΊΠ΅Ρ‚ΠΎΠ², Ρ‡Ρ‚ΠΎΠ±Ρ‹ ΠΏΠΎΠ΄Ρ‡Π΅Ρ€ΠΊΠ½ΡƒΡ‚ΡŒ идСю "экономичСского ΠΏΡ€ΠΎΡ‚Π΅ΠΊΡ†ΠΈΠΎΠ½ΠΈΠ·ΠΌΠ°" Π² ΠΊΠΎΠ΄Π΅.​

βœ”οΈ ΠžΡΠ½ΠΎΠ²Π½Ρ‹Π΅ особСнности
Π˜ΠΌΠΈΡ‚Π°Ρ†ΠΈΡ Ρ‚Π°Ρ€ΠΈΡ„ΠΎΠ² Π½Π° ΠΈΠΌΠΏΠΎΡ€Ρ‚Ρ‹: ΠΏΠΎΠ»ΡŒΠ·ΠΎΠ²Π°Ρ‚Π΅Π»ΡŒ ΠΌΠΎΠΆΠ΅Ρ‚ ΡƒΡΡ‚Π°Π½ΠΎΠ²ΠΈΡ‚ΡŒ "Ρ‚Π°Ρ€ΠΈΡ„Ρ‹" (Π² ΠΏΡ€ΠΎΡ†Π΅Π½Ρ‚Π°Ρ…) Π½Π° ΠΎΠΏΡ€Π΅Π΄Π΅Π»Ρ‘Π½Π½Ρ‹Π΅ ΠΏΠ°ΠΊΠ΅Ρ‚Ρ‹, Π½Π°ΠΏΡ€ΠΈΠΌΠ΅Ρ€:​



import tariff

tariff.set({
"numpy": 50, # 50% Ρ‚Π°Ρ€ΠΈΡ„ Π½Π° numpy
"pandas": 200, # 200% Ρ‚Π°Ρ€ΠΈΡ„ Π½Π° pandas
"requests": 150 # 150% Ρ‚Π°Ρ€ΠΈΡ„ Π½Π° requests
})


β–ͺ Π—Π°ΠΌΠ΅Π΄Π»Π΅Π½ΠΈΠ΅ ΠΈΠΌΠΏΠΎΡ€Ρ‚Π°: ΠΏΡ€ΠΈ ΠΈΠΌΠΏΠΎΡ€Ρ‚Π΅ ΡƒΠΊΠ°Π·Π°Π½Π½Ρ‹Ρ… ΠΏΠ°ΠΊΠ΅Ρ‚ΠΎΠ² врСмя Π·Π°Π³Ρ€ΡƒΠ·ΠΊΠΈ увСличиваСтся ΠΏΡ€ΠΎΠΏΠΎΡ€Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎ установлСнному Ρ‚Π°Ρ€ΠΈΡ„Ρƒ.​

Π’Ρ‹Π²ΠΎΠ΄ сообщСний: ΠΏΡ€ΠΈ ΠΊΠ°ΠΆΠ΄ΠΎΠΌ "ΠΎΠ±Π»ΠΎΠΆΠ΅Π½Π½ΠΎΠΌ Ρ‚Π°Ρ€ΠΈΡ„ΠΎΠΌ" ΠΈΠΌΠΏΠΎΡ€Ρ‚Π΅ выводится сообщСниС Π² стилС политичСской Ρ€ΠΈΡ‚ΠΎΡ€ΠΈΠΊΠΈ, Π½Π°ΠΏΡ€ΠΈΠΌΠ΅Ρ€:​

JUST IMPOSED a 50% TARIFF on numpy! Original import took 45000 us, now takes 67500 us. American packages are WINNING AGAIN! #MIPA

Π‘ΠΈΠ±Π»ΠΈΠΎΡ‚Π΅ΠΊΠ° ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΠ΅Ρ‚ monkey-patching для ΠΏΠ΅Ρ€Π΅Ρ…Π²Π°Ρ‚Π° ΠΈ ΠΌΠΎΠ΄ΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΠΈ процСсса ΠΈΠΌΠΏΠΎΡ€Ρ‚Π°.​

β–ͺGithub

@ai_machinelearning_big_data

#fun #python

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At a time when the Indian stock market is peaking and has rallied immensely compared to global markets, there are companies that have not performed in the last 10 years. These are definitely a minor portion of the market considering there are hundreds of stocks that have turned multibagger since 2020. What went wrong with these stocks? Reasons vary from corporate governance, sectoral weakness, company specific and so on. But the more important question is, are these stocks worth buying?

The lead from Wall Street offers little clarity as the major averages opened lower on Friday and then bounced back and forth across the unchanged line, finally finishing mixed and little changed.The Dow added 33.18 points or 0.10 percent to finish at 34,798.00, while the NASDAQ eased 4.54 points or 0.03 percent to close at 15,047.70 and the S&P 500 rose 6.50 points or 0.15 percent to end at 4,455.48. For the week, the Dow rose 0.6 percent, the NASDAQ added 0.1 percent and the S&P gained 0.5 percent.The lackluster performance on Wall Street came on uncertainty about the outlook for the markets following recent volatility.

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