100+ Best Free Data Science Books For Beginners And Experts
100+ Best Free Data Science Books For Beginners And Experts (Updated For 2024) In the previous post, we’ve covered 100+ Free Machine Learning and Artificial Intelligence Books. If you haven’t checked make sure you spend 2 minutes after checking this post. In this post, You’ll see 100+ free data science books for beginners, intermediate, and experts. The eBooks are updated in 2024 and available in
Python Tools List 2024 Hackers Online Club -
Python-CodePython programming is a Friendly Language for Beginners and Security Experts. Let’s explore why Python is so important and how it benefits both beginners and security experts. Why Is Python Programming Important?Python is like a Swiss Army knife for coding. Here’s why: Web Development: Python powers the hidden parts of websites (the back-end) for big names like Instagram and Netflix. It
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DataFrameオブジェクトをãã®ã¾ã¾ãƒªã‚¹ãƒˆã«æ”¾ã‚Šè¾¼ã‚€ ãã‚“ãªã“ã¨ã§ãã‚‹ãªã‚“ã¦ã€ä»Šã•ã‚‰çŸ¥ã‚Šã¾ã—ã¦ã€‚ã‚„ã£ã¦ã¿ã¾ã—ょ。 ã“ã®æŠ•ç¨¿ã¯ã€å‰å›žã®èª²é¡Œã®ã¤ã¥ãã¨ã—ã¾ã™ã€‚ import numpy as np import pandas as pd # é©å½“ã«ãƒ‡ãƒ¼ã‚¿ãƒ•ãƒ¬ãƒ¼ãƒ ã‚’ç”Ÿæˆ data1 = np.arange(1,11).reshape(5,2) col1 = 'A B'.split() idx1 = '゠ㄠㆠ㈠ãŠ'.split() df1 = pd.DataFrame(data1, columns=col1, index=idx1) df1 A B ã‚ 1 2 ã„ 3 4 ㆠ5 6 ㈠7 8 ㊠9 10 # é©å½“ã«ãƒ‡ãƒ¼ã‚¿ãƒ•ãƒ¬ãƒ¼ãƒ ã‚’ç”Ÿæˆ data2 = np.random.randint(1,101,(3,4)) col2 = 'one two three four'.split(
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Pythonを使ã£ã¦é–¢æ•°åž‹ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚° Part.2
2019å¹´9月16ã€17æ—¥ã€æ—¥æœ¬æœ€å¤§ã®Pythonã®ç¥å…¸ã§ã‚る「PyCon JP 2019ã€ãŒé–‹å‚¬ã•ã‚Œã¾ã—ãŸã€‚「Python New Eraã€ã‚’ã‚ャッãƒã‚³ãƒ”ーã«ã€æ—¥æœ¬ã ã‘ã§ãªã世界å„地ã‹ã‚‰PythonエンジニアãŸã¡ãŒä¸€å ‚ã«ä¼šã—ã€ã•ã¾ã–ã¾ãªçŸ¥è¦‹ã‚’共有ã—ã¾ã™ã€‚プレゼンテーション「Pythonã¦ã‚™å§‹ã‚ã¦ã¿ã‚ˆã†é–¢æ•°åž‹ãƒ•ã‚šãƒã‚¯ã‚™ãƒ©ãƒŸãƒ³ã‚¯ã‚™ã€ã«ç™»å£‡ã—ãŸã®ã¯ã€æ ªå¼ä¼šç¤¾SQUEEZEã®å¯ºå¶‹å“²æ°ã€‚講演資料ã¯ã“ã¡ã‚‰ ä¸å¤‰ï¼æ°¸ç¶šãƒ‡ãƒ¼ã‚¿æ§‹é€ ã‚’æä¾›ã™ã‚‹ãƒ‘ッケージ 寺嶋哲æ°ï¼šç¶šã„ã¦ã€ä¸å¤‰ï¼æ°¸ç¶šãƒ‡ãƒ¼ã‚¿æ§‹é€ ã«ã¤ã„ã¦ã§ã™ã€‚ listã‚’æ“作ã™ã‚‹é–¢æ•°ã®å•é¡Œç‚¹ã«ã¤ã„ã¦ã€ä¾‹é¡Œã§è¦‹ã¦ã„ãã¾ã—ょã†ã€‚add_mangoã¯æžœç‰©åã®æ–‡å—列ã®listã‚’ã¨ã£ã¦ã€mangoã‚’ãã®listã«è¶³ã—ã¦è¿”ã—ã¾ã™ã€‚change_from_apple_to_bananaã¯ã€åŒã˜ã‚ˆã†ã«listã‚’ã¨ã£ã¦appleを探ã—ã¦ã€bananaã«å…¥ã‚Œæ›¿ãˆã¦è¿”ã—ã¾ã™ã€‚ ãã®
リスト内包表記入門 - Qiita
TL;DR リスト内包表記ã€Pythonを使ã£ã¦ã„ã¦çŸ¥ã‚‰ãªã„人ã¯ã‚ã¾ã‚Šã„ãªã„ã‹ã¨ã¯æ€ã„ã¾ã™ãŒã€å®Ÿã¯ç„¡é™ã®å¯èƒ½æ€§ã‚’æŒã£ã¦ã„ãŸã‚Šã—ã¾ã™ã€‚ ãã‚‚ãã‚‚ã€ãƒªã‚¹ãƒˆå†…包表記ã¨ã¯ã“ã‚“ãªæ„Ÿã˜ã§ãƒªã‚¹ãƒˆã®åˆæœŸåŒ–ãŒã§ãる機能ã§ã™: # Equivalent to [0, 2, 4, 6, 8] [i*2 for i in range(5)] # 辞書もåˆæœŸåŒ– {chr(k): k for k in range(128)} # ã“ã‚Œã¯ã‚¿ãƒ—ルã˜ã‚ƒãªãã¦ã‚¸ã‚§ãƒãƒ¬ãƒ¼ã‚¿ã«ãªã‚‹ (i*2 for i in range(5)) # 引数ãŒä¸€ã¤ã®å ´åˆã¯ã‹ã£ã“ã‚’çœç•¥ã§ãる。 enumerate(chr(i) for i in range(128)) # ã“ã†æ›¸ã„ã¦ã‚‚åŒã˜ enumerate((chr(i) for i in range(128))) # ã“ã†æ›¸ãã¨ãƒªã‚¹ãƒˆã«å±•é–‹ã•ã‚Œã‚‹ã®ã§éžåŠ¹çŽ‡çš„ enumerate([chr(i)
Pythonã§ãƒªã‚¹ãƒˆã‚’flattenã™ã‚‹æ–¹æ³•ã¾ã¨ã‚ - Soleil cou coupe
å‚考 1段ãƒã‚¹ãƒˆã—ãŸãƒªã‚¹ãƒˆã‚’flattenã™ã‚‹æ–¹æ³• Making a flat list out of list of lists in Python - Stack Overflow 2段以上ãƒã‚¹ãƒˆã—ãŸãƒªã‚¹ãƒˆã‚’flattenã™ã‚‹æ–¹æ³• Flatten (an irregular) list of lists in Python - Stack Overflow Right Foot In: More on python flatten 色々方法ãŒã‚ã‚‹ã¿ãŸã„ãªã®ã§æ›¸ç•™ã‚。 1段ãƒã‚¹ãƒˆã—ãŸãƒªã‚¹ãƒˆã‚’flattenã™ã‚‹ã¨ã¯ ã¤ã¾ã‚Šã€ l = [[1,2,3],[4,5,6], [7], [8,9]] ã‚’ [1,2,3,4,5,6,7,8,9] ã«ã™ã‚‹ã¨ã„ã†ã“ã¨ã€‚ reduceを使ã£ãŸæ–¹æ³• reduceを使ã£ã¦ãƒªã‚¹ãƒˆã‚’畳ã¿è¾¼ã‚€ã“ã¨ãŒã§ãる。 reduce(lambda x,y: x+y,l) 組込ã¿
[Python] 何度も調ã¹ã¦ã—ã¾ã†ãƒªã‚¹ãƒˆæ“作をã¾ã¨ã‚ã¦ã¿ãŸ - YoheiM .NET
ã“ã‚“ã«ã¡ã¯ã€@yoheiMuneã§ã™ã€‚ 今日ã¯Python2ç³»ã«ãŠã‘るリストã«é–¢ã™ã‚‹æ“作をブãƒã‚°ã«ã¾ã¨ã‚ã¦ã¿ãŸã„ã¨æ€ã„ã¾ã™ã€‚リストã¯ã‚ˆã使ã„ã¾ã™ãŒã€ã‚ˆãWebã§èª¿ã¹ã¦ã„ã‚‹æ°—ãŒã™ã‚‹ã®ã§ã€ã¾ã¨ã‚ã‚‹ã“ã¨ã§ä½œæ¥åŠ¹çŽ‡åŒ–ã§ããŸã‚‰ãªãƒ¼ã¨æ€ã„ã¾ã™ã€‚ https://flic.kr/p/9nG8RA 目次 リストを生æˆã™ã‚‹ # 空ã®ãƒªã‚¹ãƒˆã‚’作る >>> list01 = list() >>> list01 = [] # åˆæœŸå€¤ã‚’指定ã™ã‚‹ >>> list01 = ["a", "b", "c"] # タプルã‹ã‚‰ãƒªã‚¹ãƒˆã‚’作る >>> aTapple = (1, 2) >>> list01 = list(aTapple) [1, 2] # セットã‹ã‚‰ãƒªã‚¹ãƒˆã‚’作る >>> aSet = set([1,2,3,4,5]) >>> list01 = list(aSet) [1, 2, 3, 4, 5] # æ–‡å—列ã‹ã‚‰ä½œ
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Lazy Lists for python 2.5 « Python recipes « ActiveState Code
ActiveState Code (http://code.activestate.com/recipes/576429/) Dan Spitz submitted a recipe ( 576410 ) for recursively defined lazy lists backed by a generator. Only catch was that it was written for python 3k. But there is nothing intrinsic in 3k that prevents you from having the same functionality in python 2.5, so I am supplying the backport here. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
Pythonã§Cleanã‚„Haskellã®ãƒªã‚¹ãƒˆç›¸å½“を準備
Cleanã‚„Haskellã¨ã„ã£ãŸç´”粋関数プãƒã‚°ãƒ©ãƒŸãƒ³ã‚°è¨€èªžã¯ç”Ÿç”£æ€§ãŒé«˜ã„ã¨ã‚ã¡ã“ã¡ã«æ›¸ã„ã¦ã‚ã£ãŸã®ã§ã€ã„ã‚ã„ã‚ã¨å‹‰å¼·ã—ã¦ã„ã‚‹ã¨ã“ã‚ã 。 勉強ã—ã¦ã„ã‚‹ã¨ã€Pythonãªã©ã®æœ€è¿‘ã®å‘½ä»¤åž‹(imperative)ã‚ã‚‹ã„ã¯æ‰‹ç¶šãåž‹(procedural)ã¨ã„ã‚れる言語ã§ã‚‚ã‹ãªã‚Šä¼¼ãŸã‚ˆã†ãªè¨˜è¿°ãŒã§ããã†ãªæ°—ãŒã—ãŸ(ã•ã™ãŒã«Javaã‚„Cã¨ã‹ã ã¨ç„¡ç†ãã†ã ãŒ)。ãã“ã§ã€Pythonを使ã£ã¦é–¢æ•°ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã®é†é†å‘³ã‚’ã©ã“ã¾ã§å‘³ã‚ãˆã‚‹ã‹ãƒãƒ£ãƒ¬ãƒ³ã‚¸ã—ã¦ã¿ã‚‹ã“ã¨ã«ã—ãŸã€‚ã‚ã¾ã‚Šé–¢æ•°ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã«é¦´æŸ“ã¿ã®ãªã„人ã«ã‚‚ç†è§£ã—ã‚„ã™ã説明ã§ãるよã†ã«å¿ƒãŒã‘ã‚‹ã¤ã‚‚ã‚Šã (ã¨ã„ã†ã‹ç§ã‚‚ã‚ã¾ã‚Šé¦´æŸ“ã¿ãŒãªã„)。 純粋関数プãƒã‚°ãƒ©ãƒŸãƒ³ã‚°è¨€èªžã§ã¯ã€é…延評価を行ãˆã‚‹ã“ã¨ãŒç‰¹å¾´ã¨ãªã£ã¦ã„る。é…延評価ã¨ã¯ã€ã™ã”ãç°¡å˜ã«è¨€ã£ã¦ã—ã¾ã†ã¨ã€å¿…è¦ã«ãªã‚‹ã¾ã§å¼ã®è©•ä¾¡ã‚„æ–‡ã®å®Ÿè¡Œã‚’ã—ãªã„ã“ã¨ã 。ãŸã¨ãˆã°ã€ç„¡é™ã«ç¶šã数列(数値ã®ãƒªã‚¹ãƒˆ)を生æˆã™ã‚‹é–¢æ•°ã‚’
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perl & javascript - nested list comprehension : 404 Blog Not Found
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GitHub - git-davi/SadTruth: A simple Open DNS Recursive Resolver list generator
How can I convert string to dict or list?
Retrieving indexes of elements in a nested list by recursive depth | Bytes
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