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"execution_count": 40, "metadata": {}, "outputs": [], "source": [ @@ -27,10 +27,73 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 41, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "data": { + "text/plain": [ + "[1,\n", + " 2,\n", + " 3,\n", + " 4,\n", + " 5,\n", + " 6,\n", + " 7,\n", + " 8,\n", + " 9,\n", + " 10,\n", + " 11,\n", + " 12,\n", + " 13,\n", + " 14,\n", + " 15,\n", + " 16,\n", + " 17,\n", + " 18,\n", + " 19,\n", + " 20,\n", + " 21,\n", + " 22,\n", + " 23,\n", + " 24,\n", + " 25,\n", + " 26,\n", + " 27,\n", + " 28,\n", + " 29,\n", + " 30,\n", + " 31,\n", + " 32,\n", + " 33,\n", + " 34,\n", + " 35,\n", + " 36,\n", + " 37,\n", + " 38,\n", + " 39,\n", + " 40,\n", + " 41,\n", + " 42,\n", + " 43,\n", + " 44,\n", + " 45,\n", + " 46,\n", + " 47,\n", + " 48,\n", + " 49,\n", + " 50]" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "x = [i for i in range(1,51)]\n", + "x" 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"cell_type": "code", - "execution_count": null, + "execution_count": 45, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "data": { + "text/plain": [ + "[0.84062117,\n", + " 0.7876326,\n", + " 0.77109654,\n", + " 0.81835917,\n", + " 0.87645456,\n", + " 0.7066597,\n", + " 0.57433389,\n", + " 0.92796258,\n", + " 0.69814654,\n", + " 0.97016248,\n", + " 0.71725408,\n", + " 0.87702738,\n", + " 0.76615487,\n", + " 0.57871812,\n", + " 0.53222417,\n", + " 0.9976855,\n", + " 0.80930099,\n", + " 0.50962849,\n", + " 0.94555126]" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "[j for i in a for j in i if j >=0.5]" + ] }, { "cell_type": "markdown", @@ -101,7 +359,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 46, "metadata": {}, "outputs": [], "source": [ @@ -123,10 +381,52 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 47, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "data": { + "text/plain": [ + "[0.55867166,\n", + " 0.06210792,\n", + " 0.08147297,\n", + " 0.82579068,\n", + " 0.91512478,\n", + " 0.06833034,\n", + " 0.05440634,\n", + " 0.65857693,\n", + " 0.30296619,\n", + " 0.06769833,\n", + " 0.96031863,\n", + " 0.51293743,\n", + " 0.09143215,\n", + " 0.71893382,\n", + " 0.45850679,\n", + " 0.58256464,\n", + " 0.59005654,\n", + " 0.56266457,\n", + " 0.71600294,\n", + " 0.87392666,\n", + " 0.11434044,\n", + " 0.8694668,\n", + " 0.65669313,\n", + " 0.10708681,\n", + " 0.07529684,\n", + " 0.46470767,\n", + " 0.47984544,\n", + " 0.65368638,\n", + " 0.14901286,\n", + " 0.23760688]" + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "[x for i in b for j in i for x in j]" + ] }, { "cell_type": "markdown", @@ -137,10 +437,45 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 52, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "data": { + "text/plain": [ + "[0.08147297,\n", + " 0.06833034,\n", + " 0.30296619,\n", + " 0.45850679,\n", + " 0.11434044,\n", + " 0.10708681,\n", + " 0.47984544,\n", + " 0.23760688]" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "b = [[[0.55867166, 0.06210792, 0.08147297],\n", + " [0.82579068, 0.91512478, 0.06833034]],\n", + "\n", + " [[0.05440634, 0.65857693, 0.30296619],\n", + " [0.06769833, 0.96031863, 0.51293743]],\n", + "\n", + " [[0.09143215, 0.71893382, 0.45850679],\n", + " [0.58256464, 0.59005654, 0.56266457]],\n", + "\n", + " [[0.71600294, 0.87392666, 0.11434044],\n", + " [0.8694668 , 0.65669313, 0.10708681]],\n", + "\n", + " [[0.07529684, 0.46470767, 0.47984544],\n", + " [0.65368638, 0.14901286, 0.23760688]]];\n", + "\n", + "[j[-1] for i in b for j in i if j if j[-1] <= 0.5]" + ] }, { "cell_type": "markdown", @@ -151,10 +486,24 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 69, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['sample_file_0.csv', 'sample_file_1.csv', 'sample_file_2.csv', 'sample_file_3.csv', 'sample_file_4.csv', 'sample_file_5.csv', 'sample_file_6.csv', 'sample_file_7.csv', 'sample_file_8.csv', 'sample_file_9.csv']\n" + ] + } + ], + "source": [ + "import os\n", + "path = \"C://Users/amirg/OneDrive/Documents/Iron hack/1_Data Analysis_Oktober/Week 1/Labs/4_lab-list-comprehension/data\"\n", + "dir_list = os.listdir(path)\n", + "files = [i for i in dir_list if i[-3:] == \"csv\"]\n", + "print(files)" + ] }, { "cell_type": "markdown", @@ -170,6 +519,19 @@ "Try to solve these katas using list comprehensions." ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Given a set of numbers, return the additive inverse of each. Each positive becomes negatives, and the negatives become positives.\n", + "invert([1,2,3,4,5]) == [-1,-2,-3,-4,-5]\n", + "invert([1,-2,3,-4,5]) == [-1,2,-3,4,-5]\n", + "invert([]) == []\n", + "\n", + "You can assume that all values are integers. Do not mutate the input array/list.\n", + "\n" + ] + }, { "cell_type": "markdown", "metadata": {},