![\"Open](\"https://colab.research.google.com/assets/colab-badge.svg\" "\\"Open"){kind=icon}
![\"Download\"](\"https://img.shields.io/badge/Github-Download-blue.svg\" "\\"Download"){kind=icon}
\n"]},{"cell_type":"markdown","metadata":{"nbpages":{"level":0,"link":"[](https://jckantor.github.io/CBE30338/01.02-Python-Basics.html)","section":""},"id":"BaVKU36_qhjv"},"source":["# Introduction to Python in Jupyter Notebook/Google Colab"]},{"cell_type":"code","execution_count":null,"metadata":{"nbpages":{"level":0,"link":"[](https://jckantor.github.io/CBE30338/01.02-Python-Basics.html)","section":""},"id":"LEVXrnU0qhjv"},"outputs":[],"source":["#!pip install -q -r requirements.txt"]},{"cell_type":"markdown","metadata":{"id":"Bnh2iPUbst5v"},"source":["# 1.1 What is Google Colab\n","\n","* Free to use for non-commercial use\n","* Easy access to high computational power (CPUs, GPUs)\n","* Easy start (no need to install or tune)\n","* Connected to Google Drive\n","\n"]},{"cell_type":"markdown","metadata":{"id":"wNr0hLX3dne0","nbpages":{"level":1,"link":"[1.2 Python Basics](https://jckantor.github.io/CBE30338/01.02-Python-Basics.html#1.2-Python-Basics)","section":"1.2 Python Basics"}},"source":["# 1.2 Python Basics\n","\n","**An edit of Tutorial by Jacob Gerace**"]},{"cell_type":"markdown","metadata":{"id":"5SL1fUv0dne0","nbpages":{"level":2,"link":"[1.2.1 What I hope you'll get out of this tutorial](https://jckantor.github.io/CBE30338/01.02-Python-Basics.html#1.2.1-What-I-hope-you'll-get-out-of-this-tutorial)","section":"1.2.1 What I hope you'll get out of this tutorial"}},"source":["## 1.2.1 What I hope you'll get out of this tutorial\n","* The feeling that you'll \"know where to start\" when you see python code.\n","* (You won't be a python expert after one hour)\n","* Basics to variables, lists, conditionals, functions, loops, and the numpy package.\n","* Resources to look further"]},{"cell_type":"markdown","metadata":{"id":"IOaAVswwdne0","nbpages":{"level":3,"link":"[1.2.1.1 Why Python?](https://jckantor.github.io/CBE30338/01.02-Python-Basics.html#1.2.1.1-Why-Python?)","section":"1.2.1.1 Why Python?"}},"source":["### 1.2.1.1 Why Python?\n","\n","1. Clean syntax\n","2. The same code can run on all Operating Systems\n","3. **Extensive first and third party libraries (of particular note for our purposes is NumPy)**"]},{"cell_type":"markdown","metadata":{"id":"rRfPHXPKdne1","nbpages":{"level":3,"link":"[1.2.1.2 Markdown Sidenote](https://jckantor.github.io/CBE30338/01.02-Python-Basics.html#1.2.1.2-Markdown-Sidenote)","section":"1.2.1.2 Markdown Sidenote"}},"source":["### 1.2.1.2 Markdown Sidenote\n"," * This text is written in a Markdown block. Markdown is straightforward way to format writeups in Jupyter, but I won't cover it here for the sake of brevity.\n"," * See if you can use Markdown in your next homework, here's a link that explains the formatting: https://daringfireball.net/projects/markdown/syntax .\n"," * You can also look at existing Markdown examples (i.e. this worksheet) and emulate the style. Double click a Markdown box in Jupyter to show the code.\n"]},{"cell_type":"markdown","metadata":{"id":"C1gGyXPwdne1","nbpages":{"level":3,"link":"[1.2.1.3 LaTeX Sidenote](https://jckantor.github.io/CBE30338/01.02-Python-Basics.html#1.2.1.3-LaTeX-Sidenote)","section":"1.2.1.3 LaTeX Sidenote"}},"source":["### 1.2.1.3 LaTeX Sidenote\n","* LaTeX (pronounced \"La-tech\") is a language itself used widely to write documents with symbolic math\n","* When you add a mathematical formula to these markdown blocks, the math is in LaTeX.\n","* Ex from class: $$V \\frac{dC}{dt} = u(t) - Q C(t)$$\n","* A good resource: https://en.wikibooks.org/wiki/LaTeX/Mathematics\n","\n"]},{"cell_type":"markdown","metadata":{"id":"3Y_C4LEDdne1","nbpages":{"level":2,"link":"[1.2.2 Python Basics](https://jckantor.github.io/CBE30338/01.02-Python-Basics.html#1.2.2-Python-Basics)","section":"1.2.2 Python Basics"}},"source":["## 1.2.2 Python Basics"]},{"cell_type":"markdown","metadata":{"id":"DJVJUKvFdne2","nbpages":{"level":3,"link":"[1.2.2.1 Variables](https://jckantor.github.io/CBE30338/01.02-Python-Basics.html#1.2.2.1-Variables)","section":"1.2.2.1 Variables"}},"source":["### 1.2.2.1 Variables"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":323,"status":"ok","timestamp":1622104823853,"user":{"displayName":"Martin Schätz","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gjb7hTzMGZhh4Pah6B3Hcmw9FADWAQgRfEq6m95Cg=s64","userId":"10828352848441153145"},"user_tz":-120},"id":"J-mTXR3Z-sEo","outputId":"41c54501-f78d-460d-807f-9fce231d3301"},"outputs":[{"name":"stdout","output_type":"stream","text":["1\n"]}],"source":["a='1'\n","print(a)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":220,"status":"ok","timestamp":1622104860373,"user":{"displayName":"Martin Schätz","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gjb7hTzMGZhh4Pah6B3Hcmw9FADWAQgRfEq6m95Cg=s64","userId":"10828352848441153145"},"user_tz":-120},"id":"PXczimGNdne2","nbpages":{"level":3,"link":"[1.2.2.1 Variables](https://jckantor.github.io/CBE30338/01.02-Python-Basics.html#1.2.2.1-Variables)","section":"1.2.2.1 Variables"},"outputId":"5bf7c036-c509-4b42-ca82-0d0ba6722716"},"outputs":[{"name":"stdout","output_type":"stream","text":["42\n","3.1415\n"]}],"source":["#A variable stores a piece of data and gives it a name\n","answer = 42\n","\n","#answer contained an integer because we gave it an integer!\n","\n","is_it_thursday = True\n","is_it_wednesday = False\n","\n","#these both are 'booleans' or true/false values\n","\n","pi_approx = 3.1415\n","\n","#This will be a floating point number, or a number containing digits after the decimal point\n","\n","my_name = \"Jacob\"\n","#This is a string datatype, the name coming from a string of characters\n","\n","#Data doesn't have to be a singular unit\n","\n","#p.s., we can print all of these with a print command. For Example:\n","print(answer)\n","print(pi_approx)"]},{"cell_type":"markdown","metadata":{"id":"KCDYCTgmdne3","nbpages":{"level":3,"link":"[1.2.2.2 More Complicated Data Types](https://jckantor.github.io/CBE30338/01.02-Python-Basics.html#1.2.2.2-More-Complicated-Data-Types)","section":"1.2.2.2 More Complicated Data Types"}},"source":["### 1.2.2.2 More Complicated Data Types"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":193,"status":"ok","timestamp":1622104896239,"user":{"displayName":"Martin Schätz","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gjb7hTzMGZhh4Pah6B3Hcmw9FADWAQgRfEq6m95Cg=s64","userId":"10828352848441153145"},"user_tz":-120},"id":"s76leyH1dne3","nbpages":{"level":3,"link":"[1.2.2.2 More Complicated Data Types](https://jckantor.github.io/CBE30338/01.02-Python-Basics.html#1.2.2.2-More-Complicated-Data-Types)","section":"1.2.2.2 More Complicated Data Types"},"outputId":"80d1ab1c-ed82-4f68-99c9-261ffc27a9eb","scrolled":true},"outputs":[{"name":"stdout","output_type":"stream","text":["['Green', 'Blue', 'Red']\n","[10, 20, 30, 40, 50, 'Sixty']\n","Green\n","Red\n","Rosa Parks\n"]}],"source":["\n","#What if we want to store many integers? We need a list!\n","prices = [10, 20, 30, 40, 50]\n","\n","#This is a way to define a list in place. We can also make an empty list and add to it.\n","colors = []\n","\n","colors.append(\"Green\")\n","colors.append(\"Blue\")\n","colors.append(\"Red\")\n","\n","print(colors)\n","\n","#We can also add unlike data to a list\n","prices.append(\"Sixty\")\n","\n","#As an exercise, look up lists in python and find out how to add in the middle of a list!\n","\n","print(prices)\n","#We can access a specific element of a list too:\n","\n","print(colors[0])\n","print(colors[2])\n","\n","#Notice here how the first element of the list is index 0, not 1!\n","#Languages like MATLAB are 1 indexed, be careful!\n","\n","#In addition to lists, there are tuples\n","#Tuples behave very similarly to lists except that you can't change them\n","# after you make them\n","\n","#An empty Tuple isn't very useful:\n","empty_tuple = ()\n","\n","#Nor is a tuple with just one value:\n","one_tuple = (\"first\",)\n","\n","#But tuples with many values are useful:\n","rosa_parks_info = (\"Rosa\", \"Parks\", 1913, \"February\", 4)\n","\n","#You can access tuples just like lists\n","print(rosa_parks_info[0] + \" \" + rosa_parks_info[1])\n","\n","# You cannot modify existing tuples, but you can make new tuples that extend\n","# the information.\n","# I expect Tuples to come up less than lists. So we'll just leave it at that."]},{"cell_type":"markdown","metadata":{"id":"jsX7mYBIdne4","nbpages":{"level":3,"link":"[1.2.2.3 Using Variables](https://jckantor.github.io/CBE30338/01.02-Python-Basics.html#1.2.2.3-Using-Variables)","section":"1.2.2.3 Using Variables"}},"source":["### 1.2.2.3 Using Variables"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":461,"status":"ok","timestamp":1622105024526,"user":{"displayName":"Martin Schätz","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gjb7hTzMGZhh4Pah6B3Hcmw9FADWAQgRfEq6m95Cg=s64","userId":"10828352848441153145"},"user_tz":-120},"id":"TGZPm8i1dne4","nbpages":{"level":3,"link":"[1.2.2.3 Using Variables](https://jckantor.github.io/CBE30338/01.02-Python-Basics.html#1.2.2.3-Using-Variables)","section":"1.2.2.3 Using Variables"},"outputId":"ce4fc694-d66f-4dd8-ce24-e9d33b649aff","scrolled":true},"outputs":[{"name":"stdout","output_type":"stream","text":["8.0\n","3.5\n","12.9375\n","2.5555555555555554\n","1\n"]}],"source":["float1 = 5.75\n","float2 = 2.25\n","#Addition, subtraction, multiplication, division are as you expect\n","\n","print(float1 + float2)\n","print(float1 - float2)\n","print(float1 * float2)\n","print(float1 / float2)\n","\n","#Here's an interesting one that showed up in the first homework in 2017. Modulus:\n","print(5 % 2)"]},{"cell_type":"markdown","metadata":{"id":"HLww7Rp2dne5","nbpages":{"level":3,"link":"[1.2.2.4 Importing in Python: Math and plotting](https://jckantor.github.io/CBE30338/01.02-Python-Basics.html#1.2.2.4-Importing-in-Python:-Math-and-plotting)","section":"1.2.2.4 Importing in Python: Math and plotting"}},"source":["### 1.2.2.4 Importing in Python: Math and plotting"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":181,"status":"ok","timestamp":1622105063936,"user":{"displayName":"Martin Schätz","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gjb7hTzMGZhh4Pah6B3Hcmw9FADWAQgRfEq6m95Cg=s64","userId":"10828352848441153145"},"user_tz":-120},"id":"BR-E5Vgfdne5","nbpages":{"level":3,"link":"[1.2.2.4 Importing in Python: Math and plotting](https://jckantor.github.io/CBE30338/01.02-Python-Basics.html#1.2.2.4-Importing-in-Python:-Math-and-plotting)","section":"1.2.2.4 Importing in Python: Math and plotting"},"outputId":"90e4e39e-6aa1-48cd-e11c-45c1d9d795f8"},"outputs":[{"name":"stdout","output_type":"stream","text":["1.749199854809259\n","9.487735836358526\n","32.0\n","32.0\n","[1, 2, 3, 4, 5, 1, 2, 3, 4, 5]\n"]}],"source":["#Just about every standard math function on a calculator has a python equivalent pre made.\n","#however, they are from the 'math' package in python. Let's add that package!\n","import math as m\n","print(m.log(float1))\n","print(m.exp(float2))\n","print(m.pow(2,5))\n","# There is a quicker way to write exponents if you want:\n","print(2.0**5.0)\n","\n","#Like in MATLAB, you can expand the math to entire lists\n","list3 = [1, 2, 3, 4, 5]\n","print(2 * list3)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":282},"executionInfo":{"elapsed":532,"status":"ok","timestamp":1622105300659,"user":{"displayName":"Martin Schätz","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Gjb7hTzMGZhh4Pah6B3Hcmw9FADWAQgRfEq6m95Cg=s64","userId":"10828352848441153145"},"user_tz":-120},"id":"AK32eNtFdne5","nbpages":{"level":3,"link":"[1.2.2.4 Importing in Python: Math and plotting](https://jckantor.github.io/CBE30338/01.02-Python-Basics.html#1.2.2.4-Importing-in-Python:-Math-and-plotting)","section":"1.2.2.4 Importing in Python: Math and plotting"},"outputId":"ae548221-c5c8-480b-a47a-681b7a23f076"},"outputs":[{"data":{"text/plain":["["]}],"metadata":{"anaconda-cloud":{},"colab":{"provenance":[]},"kernelspec":{"display_name":"Python 3 (ipykernel)","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.9.15"}},"nbformat":4,"nbformat_minor":0}