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‎docs/.ipynb_checkpoints/python-basics-0-checkpoint.ipynb‎

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‎docs/.ipynb_checkpoints/python-reading-checkpoint.ipynb‎

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"source": [
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"# Reading Python\n",
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"- This notebooks goal is not to produce python code, but an introduction on to to make sense of (read) code.\n",
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" - we will go through and learn some Python terminology and structure.\n",
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" - You can install Python on your computer and write code form scratch, but this is time intensive and not necessary when getting started\n",
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" - Jupyter Notebooks and Colab are computational notebooks workbook where you can run code in your browser. There are many computational notebooks used in workshops and online books. \n",
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" - For more on Computational notebooks see this page, [JupyterLab & Notebooks](https://southernmethodistuniversity.github.io/intro-to-python/jupyterlab.html)\n",
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" - We will go through and learn some Python terminology and structure.\n",
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" - You can install Python on your computer and write code from scratch, and we do have resources on getting started with coding. \n",
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"- However, if you are reading or using a digital scholarships or digital humanities project, you may just want to have a general understanding of what the researchers or developers are using code for. \n",
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"- The goals of this notebook is to help you develop the ability to: \n",
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" - Be able to identify some discrete pieces of code\n",
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" - Identify (at a high level) the processes we are going through\n",
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"\n",
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" - Jupyter Notebooks and Colab are computational notebooks that allow you to run code in your browser. There are many computational notebooks used in workshops and online books. \n",
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" - For more on computational notebooks see this page, [JupyterLab & Notebooks](https://southernmethodistuniversity.github.io/intro-to-python/jupyterlab.html)\n",
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" \n",
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"\n",
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"\n"
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"cell_type": "markdown",
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"- References\n",
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"# Libraries in python\n",
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"- A library or package is a collection of pre-written code kits\n",
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" - They allow you do a bunch of different things\n",
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"- Sometimes you have to add a bunch of them in a row\n",
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" - There is probably an order to care about\n",
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" - What do you need to know?\n"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Libraries in python: Examples\n",
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"\n",
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"[Introduction to Cultural Analytics & Python, Designed by Melanie Walsh](https://melaniewalsh.github.io/Intro-Cultural-Analytics/welcome.html)\n",
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" <img src=\"https://raw.githubusercontent.com/SouthernMethodistUniversity/intro-to-python/main/images/importpa1.png\" alt=\"Python Libraries 1\"/>\n",
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"\n",
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" <img src=\"https://raw.githubusercontent.com/SouthernMethodistUniversity/intro-to-python/main/images/importpa2.png\" alt=\"Python Libraries 2\"/>\n",
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"\n",
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" - pandas is library specifically for working with data, cleaning it up, etc"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Some examples from *Introduction to Cultural Analytics & Python*\n",
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" - [Introduction to Cultural Analytics & Python, Designed by Melanie Walsh](https://melaniewalsh.github.io/Intro-Cultural-Analytics/welcome.html)\n",
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"\n"
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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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"## [Iterate Through Dictionary](https://melaniewalsh.github.io/Intro-Cultural-Analytics/02-Python/11-Dictionaries.html#iterate-through-dictionary)\n",
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"\n",
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"\n",
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" <img src=\"https://raw.githubusercontent.com/SouthernMethodistUniversity/intro-to-python/main/images/iteratedict1.png\" alt=\"Iterate Through Dictionary 1\"/>\n",
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"\n",
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"\n",
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" <img src=\"https://raw.githubusercontent.com/SouthernMethodistUniversity/intro-to-python/main/images/iteratedict2.png\" alt=\"Iterate Through Dictionary 2\"/>\n",
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"\n",
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" - IF introduces a certain level of logic\n",
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" - F’ (f-bar) is a formatting feature for strings (sets of letters-numbers)\n",
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"- { } pulls in the dictionaries established \n"
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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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"## [Sentiment Analysis Example](https://melaniewalsh.github.io/Intro-Cultural-Analytics/05-Text-Analysis/04-Sentiment-Analysis.html#sentiment-analysis)\n",
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"\n",
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" <img src=\"https://raw.githubusercontent.com/SouthernMethodistUniversity/intro-to-python/main/images/vader1.png\" alt=\"Vader example 1\"/>\n",
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"\n",
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" <img src=\"https://raw.githubusercontent.com/SouthernMethodistUniversity/intro-to-python/main/images/vader2.png\" alt=\"Vader example 2\"/>\n"
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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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"## [Named Entity Recognition Example](https://melaniewalsh.github.io/Intro-Cultural-Analytics/05-Text-Analysis/12-Named-Entity-Recognition.html)\n",
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"\n",
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"\n",
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" <img src=\"https://raw.githubusercontent.com/SouthernMethodistUniversity/intro-to-python/main/images/ner1.png\" alt=\"NER example 1\"/>\n",
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"\n",
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" <img src=\"https://raw.githubusercontent.com/SouthernMethodistUniversity/intro-to-python/main/images/ner2.png\" alt=\"NER example 2\"/>\n",
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"\n"
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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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"## [Part-of-Speech Tagging Example](https://melaniewalsh.github.io/Intro-Cultural-Analytics/05-Text-Analysis/13-POS-Keywords.html)\n",
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"\n",
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" <img src=\"https://raw.githubusercontent.com/SouthernMethodistUniversity/intro-to-python/main/images/pos.png\" alt=\"POS example 1\"/>\n",
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"\n",
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" "
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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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"References: [Introduction to Cultural Analytics & Python, Designed by Melanie Walsh](https://melaniewalsh.github.io/Intro-Cultural-Analytics/welcome.html)\n",
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"- This online textbook offers an introduction to the programming language Python that is specifically designed for people interested in the humanities and social sciences.\n"
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]
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},
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"cell_type": "markdown",
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"metadata": {},
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"______\n",
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"Attribution\n",
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"![Creative Commons CC BY License](https://raw.githubusercontent.com/SouthernMethodistUniversity/intro-to-python/main/images/CC_BY.png)\n",
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"\n",
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"- ![Creative Commons CC BY License](https://raw.githubusercontent.com/SouthernMethodistUniversity/intro-to-python/main/images/CC_BY.png)\n",
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"\n",
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"[READING PYTHON: a program of commands for talking to your computer](https://www.dropbox.com/scl/fi/2xg6cph6ag38iy5vzn0kg/intro-to-python-beginners.pptx?rlkey=xghsqe6xr2ahqds9nwicnsgxm&e=2&st=zjdg2qwf&dl=0)\n",
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"Created by [Dr Heather Froehlich](https://hfroehli.ch/) used under [Creative Commons CC BY License](https://creativecommons.org/licenses/by/4.0/)\n",

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