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Finishing book 2
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‎notebook/Python-2.ipynb

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@@ -1115,7 +1115,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 40,
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"execution_count": 50,
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"metadata": {
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"collapsed": false
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},
@@ -1401,7 +1401,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 19,
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"execution_count": 4,
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"metadata": {
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"collapsed": false
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},
@@ -1424,7 +1424,7 @@
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}
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],
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"source": [
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"F = [0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 10]\n",
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"\n",
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"for f in range(0,100,10):\n",
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" C=(f-32)/(9.0/5.0)\n",
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" print f, C"
@@ -1803,7 +1803,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 60,
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"execution_count": 1,
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"metadata": {
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"collapsed": false
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},
@@ -1938,17 +1938,55 @@
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"Step 2: Once step 1 is working, modify the program so that the $t$ and $y$ values are stored in two lists *t* and *y*. Thereafter, transverse the lists with a *for* loop and write out a nicely formatted table of *t* and *y* values using a *zip* construction."
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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": 68,
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"metadata": {
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"collapsed": false
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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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"0.02 0.017\n",
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"0.04 0.030\n",
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"0.06 0.040\n",
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"0.07 0.047\n",
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"0.09 0.051\n",
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"0.11 0.051\n",
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"0.15 0.040\n",
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"0.17 0.030\n",
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"0.19 0.017\n"
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]
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}
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],
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"source": [
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"v=1\n",
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"n=11\n",
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"g=9.81\n",
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"step=(2*v/g)/n\n",
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"i=[t for t in range(1,n)]\n",
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"t = [step*T for T in i]\n",
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"y = [v*T - 0.5*g*T*T for T in t]\n",
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"table = [[T, Y] for T, Y in zip(t, y)]\n",
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"for T,Y in table:\n",
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" #print \"\"%5.d, %3.2f\"\" % (T,Y)\n",
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" print '%.2f %10.3f' % (T, Y)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"##Functions\n",
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"## Functions\n",
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"We have already used many Python functions, e.g. mathematical functions:"
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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": 65,
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"execution_count": 2,
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"metadata": {
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"collapsed": false
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},
@@ -1976,11 +2014,23 @@
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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": 3,
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"metadata": {
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"collapsed": false
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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 'somelist' 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-3-0751f24efd2a>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mn\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msomelist\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 2\u001b[0m \u001b[0mints\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m5\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mn\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m2\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 'somelist' is not defined"
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]
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}
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],
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"source": [
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"n = len(somelist)\n",
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"ints = range(5, n, 2)"
@@ -2396,12 +2446,136 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 113,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": []
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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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"0.0000014867\n"
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]
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}
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],
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"source": [
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"import math\n",
2563+
"from math import exp, pi\n",
2564+
"import numpy as np\n",
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"\n",
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"def gauss (x, m=0, s=1):\n",
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" r=1/(((2*pi)**0.5)*s)\n",
2568+
" return exp(-0.5*((x-m)/s)**2)*r\n",
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"\n",
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"n=int(10/0.1)\n",
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"N=[i for i in range(1,n+1)]\n",
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"x = [-5+0.1*i for i in N]\n",
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"\n",
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"F=[gauss(X) for X in x]\n",
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"\n",
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"for i in N:\n",
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" print \"%.10f\" % F[i-1]\n"
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]
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},
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{
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"cell_type": "markdown",
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 114,
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"metadata": {
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"collapsed": false
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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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"0 1 1\n"
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]
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}
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],
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"source": [
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"def H(x):\n",
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" return 0 if x <0 else 1\n",
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"print H(-3), H(0), H(5)"
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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": null,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": []
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}

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