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‎.ipynb_checkpoints/Day1-checkpoint.ipynb

+2,862
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‎.ipynb_checkpoints/Day2-checkpoint.ipynb

+1,107
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‎.ipynb_checkpoints/Day3-checkpoint.ipynb

+2,507
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‎.ipynb_checkpoints/Day4-checkpoint.ipynb

+1,402
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‎.ipynb_checkpoints/Numpy-checkpoint.ipynb

+2,667
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‎.ipynb_checkpoints/Pandas-checkpoint.ipynb

+9,929
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‎Day3.ipynb

+15-3
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@@ -1050,15 +1050,27 @@
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},
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{
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"cell_type": "code",
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"execution_count": 67,
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"execution_count": 1,
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"metadata": {
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"colab": {},
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"colab_type": "code",
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"id": "GobxPk3fuWi2"
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},
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"outputs": [],
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"outputs": [
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{
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"ename": "NameError",
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"evalue": "name 'd2' is not defined",
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"output_type": "error",
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"traceback": [
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"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)",
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"\u001b[1;32m<ipython-input-1-9ce9dbfa9305>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0md2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Global AI Hub\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
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"\u001b[1;31mNameError\u001b[0m: name 'd2' is not defined"
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]
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}
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],
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"source": [
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"d2.get(\"asli\")"
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"d2.get(\"Global AI Hub\")"
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]
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},
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{

‎Day4.ipynb

+13-56
Original file line numberDiff line numberDiff line change
@@ -555,7 +555,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 51,
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"execution_count": 1,
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"metadata": {
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"colab": {},
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"colab_type": "code",
@@ -577,7 +577,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 52,
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"execution_count": 2,
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"metadata": {
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"colab": {},
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"colab_type": "code",
@@ -598,50 +598,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 57,
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"metadata": {
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"colab": {},
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"colab_type": "code",
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"id": "-b8t6CgSl3Yu"
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Factorial: 720\n",
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"None\n"
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]
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}
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],
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"source": [
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"x = factorial2(6)\n",
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"print(x)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 58,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"NoneType"
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]
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},
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"execution_count": 58,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"type(x)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 62,
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"execution_count": 5,
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"metadata": {
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"colab": {},
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"colab_type": "code",
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},
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{
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"cell_type": "code",
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"execution_count": 65,
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"execution_count": 6,
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"metadata": {
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"colab": {},
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"colab_type": "code",
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},
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{
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"cell_type": "code",
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"execution_count": 66,
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"execution_count": 7,
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"metadata": {},
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"outputs": [
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{
@@ -692,7 +649,7 @@
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"720"
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]
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},
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"execution_count": 66,
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"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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}
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},
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{
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"cell_type": "code",
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"execution_count": 73,
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"execution_count": 8,
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"metadata": {
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"colab": {},
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"colab_type": "code",
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},
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{
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"cell_type": "code",
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"execution_count": 75,
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"execution_count": 9,
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"metadata": {
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"colab": {},
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"colab_type": "code",
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},
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{
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"cell_type": "code",
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"execution_count": 76,
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"execution_count": 10,
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"metadata": {
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"colab": {},
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"colab_type": "code",
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": 11,
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"metadata": {},
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"outputs": [
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{
@@ -771,7 +728,7 @@
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"3"
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]
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},
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"execution_count": 2,
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"execution_count": 11,
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"metadata": {},
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"output_type": "execute_result"
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}
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"execution_count": 12,
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"metadata": {},
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"outputs": [
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{
@@ -792,7 +749,7 @@
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"'Full name: Guido Van Rossum'"
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]
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},
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"execution_count": 3,
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"execution_count": 12,
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"metadata": {},
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"output_type": "execute_result"
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}

‎Numpy.ipynb

+23-29
Original file line numberDiff line numberDiff line change
@@ -761,7 +761,7 @@
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}
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],
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"source": [
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"#creating an empty array\n",
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"# It creates a series of randomly determined elements according to the state of the memory.\n",
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"\n",
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"s4 = np.empty((4,5))\n",
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"\n",
@@ -2035,21 +2035,22 @@
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},
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{
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"cell_type": "code",
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"execution_count": 175,
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"execution_count": 2,
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"metadata": {
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"colab": {},
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"colab_type": "code",
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"id": "Y3mWYuRMTtp6"
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[[ 6. 8.]\n",
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" [10. 12.]]\n",
2051-
"[[ 6. 8.]\n",
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" [10. 12.]]\n"
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"ename": "NameError",
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"evalue": "name 'np' is not defined",
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"output_type": "error",
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"traceback": [
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"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)",
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"\u001b[1;32m<ipython-input-2-732c4c718d67>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mx\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0marray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m3\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m4\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfloat64\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2\u001b[0m \u001b[0my\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0marray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m5\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m6\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m7\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m8\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfloat64\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m+\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
2053+
"\u001b[1;31mNameError\u001b[0m: name 'np' is not defined"
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]
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}
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],
@@ -2065,21 +2066,22 @@
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},
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{
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"cell_type": "code",
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"execution_count": 176,
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"execution_count": 3,
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"metadata": {
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"colab": {},
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"colab_type": "code",
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"id": "InoPX9IfT2TD"
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[[-4. -4.]\n",
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" [-4. -4.]]\n",
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"[[-4. -4.]\n",
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" [-4. -4.]]\n"
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"ename": "NameError",
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"evalue": "name 'x' is not defined",
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"output_type": "error",
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"traceback": [
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"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)",
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"\u001b[1;32m<ipython-input-3-fb9c15d00e93>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m-\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msubtract\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
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"\u001b[1;31mNameError\u001b[0m: name 'x' is not defined"
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]
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}
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],
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},
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{
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"cell_type": "code",
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"execution_count": 184,
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"execution_count": null,
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"metadata": {
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"colab": {},
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"colab_type": "code",
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"id": "R6mLUA9lUbri"
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[[5.45981500e+01 8.10308393e+03]\n",
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" [8.88611052e+06 1.50609731e+35]]\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"s = np.array([[4,9],[16,81]], dtype = np.float64)\n",
2236+
"#Calculate the exponential of all elements in the input array\n",
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"\n",
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"s = np.array([[4,9],[16,81]], dtype = np.float64)\n",
22452239
"print(np.exp(s))"
22462240
]
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},

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