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Installing Python, Jupyter Notebook, and clonnnig the tutorial from GitHub

If you decide to install Python, there are a number of ways and resources to do so. Here, we will explain how to install Python and Jupyter Notebook using Conda.

Conda

Conda is package manager tool to help you install and update Python and any library you might need, keeping track of versions and conflicts. Not only for beginners, conda makes it easier and simpler to install and work with Python and other, always in development, libraries.

We will use Miniconda, which is a minimal installer of conda. This means that it will install conda, Python, the packages that they depend on, and only a small number of other packages. Nothing extra. The user will only install the packages (libraries) needed. This allows your Python installation to be tailored to your needs.

Install Miniconda

  • Download Minicondahere. Choose your platform, and make sure to get at least Python 3.8.
  • Follow the Regular installation instructions for each platform, located here. (There are many sites with easier (or harder) to follow instructions, but this site is the most up-to-date one.)

Install the necessary libraries and create a new 'environment'

  • Additional libraries can be installed one by one, or as we will do here, using a list of libraries in a file named environment.yml. Download this file directly from here, or find it in the main folder of this tutorial if you cloned it from Github (instructions below).
  • Open an anaconda prompt:
    • Windows: From your start button, look for Anaconda, within that folder open 'Anaconda Prompt'.
    • macOS: Open Launchpad, then open Terminal or iTerm.
    • Linux–CentOS: Open Applications - System Tools - Terminal.
    • Linux–Ubuntu: Open the Dash by clicking the upper left Ubuntu icon, then type “terminal”.
  • In the anaconda window, type conda list. If Anaconda is installed and working, this will display a list of installed packages and their versions.
  • In your anaconda prompt, type conda env create -f environment.yml. You may need to include the directory to where the environment.yml file was downloaded to.

Run the tutorial

  • In the anaconda prompt, type conda activate tutorialenv to load the created environment.
  • Open a Jupyter Notebook by typing jupyter notebook in the anaconda promt. This will open a Jupyter NotebookDashboard in your browser. From there you can open the Chapter Notebooks by clicking at the file links.

Github

Downloading the content of a GitGub repository to your local computer is referred as cloning. To clone this (or any repository):

  • In a terminal type git clone https://github.com/marisolgr/python_sat_tutorials
  • Or you can download it by going to the main page here and clicking on the green button named Code, at the top right of the file list. Then, click on Download ZIP from the drop menu. Unzip it.
  • You might want to move this directory to a convenient place in your computer.
  • From your Jupyter NotebookDashboard, navigate to the directory of the tutorial, and you'll see the Chapters files.
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
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Installing Python, Jupyter Notebook, and clonnnig the tutorial from GitHub
If you decide to install Python, there are a number of ways and resources to do so. Here, we will explain how to install Python and Jupyter Notebook using Conda.
Conda
Conda is package manager tool to help you install and update Python and any library you might need, keeping track of versions and conflicts. Not only for beginners, conda makes it easier and simpler to install and work with Python and other, always in development, libraries.
We will use Miniconda, which is a minimal installer of conda. This means that it will install conda, Python, the packages that they depend on, and only a small number of other packages. Nothing extra. The user will only install the packages (libraries) needed. This allows your Python installation to be tailored to your needs.
Install Miniconda
  • Download Minicondahere. Choose your platform, and make sure to get at least Python 3.8.
  • Follow the Regular installation instructions for each platform, located here. (There are many sites with easier (or harder) to follow instructions, but this site is the most up-to-date one.)
Install the necessary libraries and create a new 'environment'
  • Additional libraries can be installed one by one, or as we will do here, using a list of libraries in a file named environment.yml. Download this file directly from here, or find it in the main folder of this tutorial if you cloned it from Github (instructions below).
  • Open an anaconda prompt:

    • Windows: From your start button, look for Anaconda, within that folder open 'Anaconda Prompt'.
    • macOS: Open Launchpad, then open Terminal or iTerm.
    • Linux–CentOS: Open Applications - System Tools - Terminal.
    • Linux–Ubuntu: Open the Dash by clicking the upper left Ubuntu icon, then type “terminal”.
  • In the anaconda window, type conda list. If Anaconda is installed and working, this will display a list of installed packages and their versions.
  • In your anaconda prompt, type conda env create -f environment.yml. You may need to include the directory to where the environment.yml file was downloaded to.
Run the tutorial
  • In the anaconda prompt, type conda activate tutorialenv to load the created environment.
  • Open a Jupyter Notebook by typing jupyter notebook in the anaconda promt. This will open a Jupyter NotebookDashboard in your browser. From there you can open the Chapter Notebooks by clicking at the file links.
Github
Downloading the content of a GitGub repository to your local computer is referred as cloning. To clone this (or any repository):
  • In a terminal type git clone https://github.com/marisolgr/python_sat_tutorials
  • Or you can download it by going to the main page here and clicking on the green button named Code, at the top right of the file list. Then, click on Download ZIP from the drop menu. Unzip it.
  • You might want to move this directory to a convenient place in your computer.
  • From your Jupyter NotebookDashboard, navigate to the directory of the tutorial, and you'll see the Chapters files.

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
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} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Installing Python, Jupyter Notebook, and clonnnig the tutorial from GitHub
If you decide to install Python, there are a number of ways and resources to do so. Here, we will explain how to install Python and Jupyter Notebook using Conda.
Conda
Conda is package manager tool to help you install and update Python and any library you might need, keeping track of versions and conflicts. Not only for beginners, conda makes it easier and simpler to install and work with Python and other, always in development, libraries.
We will use Miniconda, which is a minimal installer of conda. This means that it will install conda, Python, the packages that they depend on, and only a small number of other packages. Nothing extra. The user will only install the packages (libraries) needed. This allows your Python installation to be tailored to your needs.
Install Miniconda
  • Download Minicondahere. Choose your platform, and make sure to get at least Python 3.8.
  • Follow the Regular installation instructions for each platform, located here. (There are many sites with easier (or harder) to follow instructions, but this site is the most up-to-date one.)
Install the necessary libraries and create a new 'environment'
  • Additional libraries can be installed one by one, or as we will do here, using a list of libraries in a file named environment.yml. Download this file directly from here, or find it in the main folder of this tutorial if you cloned it from Github (instructions below).
  • Open an anaconda prompt:

    • Windows: From your start button, look for Anaconda, within that folder open 'Anaconda Prompt'.
    • macOS: Open Launchpad, then open Terminal or iTerm.
    • Linux–CentOS: Open Applications - System Tools - Terminal.
    • Linux–Ubuntu: Open the Dash by clicking the upper left Ubuntu icon, then type “terminal”.
  • In the anaconda window, type conda list. If Anaconda is installed and working, this will display a list of installed packages and their versions.
  • In your anaconda prompt, type conda env create -f environment.yml. You may need to include the directory to where the environment.yml file was downloaded to.
Run the tutorial
  • In the anaconda prompt, type conda activate tutorialenv to load the created environment.
  • Open a Jupyter Notebook by typing jupyter notebook in the anaconda promt. This will open a Jupyter NotebookDashboard in your browser. From there you can open the Chapter Notebooks by clicking at the file links.
Github
Downloading the content of a GitGub repository to your local computer is referred as cloning. To clone this (or any repository):
  • In a terminal type git clone https://github.com/marisolgr/python_sat_tutorials
  • Or you can download it by going to the main page here and clicking on the green button named Code, at the top right of the file list. Then, click on Download ZIP from the drop menu. Unzip it.
  • You might want to move this directory to a convenient place in your computer.
  • From your Jupyter NotebookDashboard, navigate to the directory of the tutorial, and you'll see the Chapters files.

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Installing Python, Jupyter Notebook, and clonnnig the tutorial from GitHub
If you decide to install Python, there are a number of ways and resources to do so. Here, we will explain how to install Python and Jupyter Notebook using Conda.
Conda
Conda is package manager tool to help you install and update Python and any library you might need, keeping track of versions and conflicts. Not only for beginners, conda makes it easier and simpler to install and work with Python and other, always in development, libraries.
We will use Miniconda, which is a minimal installer of conda. This means that it will install conda, Python, the packages that they depend on, and only a small number of other packages. Nothing extra. The user will only install the packages (libraries) needed. This allows your Python installation to be tailored to your needs.
Install Miniconda
  • Download Minicondahere. Choose your platform, and make sure to get at least Python 3.8.
  • Follow the Regular installation instructions for each platform, located here. (There are many sites with easier (or harder) to follow instructions, but this site is the most up-to-date one.)
Install the necessary libraries and create a new 'environment'
  • Additional libraries can be installed one by one, or as we will do here, using a list of libraries in a file named environment.yml. Download this file directly from here, or find it in the main folder of this tutorial if you cloned it from Github (instructions below).
  • Open an anaconda prompt:

    • Windows: From your start button, look for Anaconda, within that folder open 'Anaconda Prompt'.
    • macOS: Open Launchpad, then open Terminal or iTerm.
    • Linux–CentOS: Open Applications - System Tools - Terminal.
    • Linux–Ubuntu: Open the Dash by clicking the upper left Ubuntu icon, then type “terminal”.
  • In the anaconda window, type conda list. If Anaconda is installed and working, this will display a list of installed packages and their versions.
  • In your anaconda prompt, type conda env create -f environment.yml. You may need to include the directory to where the environment.yml file was downloaded to.
Run the tutorial
  • In the anaconda prompt, type conda activate tutorialenv to load the created environment.
  • Open a Jupyter Notebook by typing jupyter notebook in the anaconda promt. This will open a Jupyter NotebookDashboard in your browser. From there you can open the Chapter Notebooks by clicking at the file links.
Github
Downloading the content of a GitGub repository to your local computer is referred as cloning. To clone this (or any repository):
  • In a terminal type git clone https://github.com/marisolgr/python_sat_tutorials
  • Or you can download it by going to the main page here and clicking on the green button named Code, at the top right of the file list. Then, click on Download ZIP from the drop menu. Unzip it.
  • You might want to move this directory to a convenient place in your computer.
  • From your Jupyter NotebookDashboard, navigate to the directory of the tutorial, and you'll see the Chapters files.

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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Installing Python, Jupyter Notebook, and clonnnig the tutorial from GitHub
If you decide to install Python, there are a number of ways and resources to do so. Here, we will explain how to install Python and Jupyter Notebook using Conda.
Conda
Conda is package manager tool to help you install and update Python and any library you might need, keeping track of versions and conflicts. Not only for beginners, conda makes it easier and simpler to install and work with Python and other, always in development, libraries.
We will use Miniconda, which is a minimal installer of conda. This means that it will install conda, Python, the packages that they depend on, and only a small number of other packages. Nothing extra. The user will only install the packages (libraries) needed. This allows your Python installation to be tailored to your needs.
Install Miniconda
  • Download Minicondahere. Choose your platform, and make sure to get at least Python 3.8.
  • Follow the Regular installation instructions for each platform, located here. (There are many sites with easier (or harder) to follow instructions, but this site is the most up-to-date one.)
Install the necessary libraries and create a new 'environment'
  • Additional libraries can be installed one by one, or as we will do here, using a list of libraries in a file named environment.yml. Download this file directly from here, or find it in the main folder of this tutorial if you cloned it from Github (instructions below).
  • Open an anaconda prompt:

    • Windows: From your start button, look for Anaconda, within that folder open 'Anaconda Prompt'.
    • macOS: Open Launchpad, then open Terminal or iTerm.
    • Linux–CentOS: Open Applications - System Tools - Terminal.
    • Linux–Ubuntu: Open the Dash by clicking the upper left Ubuntu icon, then type “terminal”.
  • In the anaconda window, type conda list. If Anaconda is installed and working, this will display a list of installed packages and their versions.
  • In your anaconda prompt, type conda env create -f environment.yml. You may need to include the directory to where the environment.yml file was downloaded to.
Run the tutorial
  • In the anaconda prompt, type conda activate tutorialenv to load the created environment.
  • Open a Jupyter Notebook by typing jupyter notebook in the anaconda promt. This will open a Jupyter NotebookDashboard in your browser. From there you can open the Chapter Notebooks by clicking at the file links.
Github
Downloading the content of a GitGub repository to your local computer is referred as cloning. To clone this (or any repository):
  • In a terminal type git clone https://github.com/marisolgr/python_sat_tutorials
  • Or you can download it by going to the main page here and clicking on the green button named Code, at the top right of the file list. Then, click on Download ZIP from the drop menu. Unzip it.
  • You might want to move this directory to a convenient place in your computer.
  • From your Jupyter NotebookDashboard, navigate to the directory of the tutorial, and you'll see the Chapters files.

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
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} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Installing Python, Jupyter Notebook, and clonnnig the tutorial from GitHub
If you decide to install Python, there are a number of ways and resources to do so. Here, we will explain how to install Python and Jupyter Notebook using Conda.
Conda
Conda is package manager tool to help you install and update Python and any library you might need, keeping track of versions and conflicts. Not only for beginners, conda makes it easier and simpler to install and work with Python and other, always in development, libraries.
We will use Miniconda, which is a minimal installer of conda. This means that it will install conda, Python, the packages that they depend on, and only a small number of other packages. Nothing extra. The user will only install the packages (libraries) needed. This allows your Python installation to be tailored to your needs.
Install Miniconda
  • Download Minicondahere. Choose your platform, and make sure to get at least Python 3.8.
  • Follow the Regular installation instructions for each platform, located here. (There are many sites with easier (or harder) to follow instructions, but this site is the most up-to-date one.)
Install the necessary libraries and create a new 'environment'
  • Additional libraries can be installed one by one, or as we will do here, using a list of libraries in a file named environment.yml. Download this file directly from here, or find it in the main folder of this tutorial if you cloned it from Github (instructions below).
  • Open an anaconda prompt:

    • Windows: From your start button, look for Anaconda, within that folder open 'Anaconda Prompt'.
    • macOS: Open Launchpad, then open Terminal or iTerm.
    • Linux–CentOS: Open Applications - System Tools - Terminal.
    • Linux–Ubuntu: Open the Dash by clicking the upper left Ubuntu icon, then type “terminal”.
  • In the anaconda window, type conda list. If Anaconda is installed and working, this will display a list of installed packages and their versions.
  • In your anaconda prompt, type conda env create -f environment.yml. You may need to include the directory to where the environment.yml file was downloaded to.
Run the tutorial
  • In the anaconda prompt, type conda activate tutorialenv to load the created environment.
  • Open a Jupyter Notebook by typing jupyter notebook in the anaconda promt. This will open a Jupyter NotebookDashboard in your browser. From there you can open the Chapter Notebooks by clicking at the file links.
Github
Downloading the content of a GitGub repository to your local computer is referred as cloning. To clone this (or any repository):
  • In a terminal type git clone https://github.com/marisolgr/python_sat_tutorials
  • Or you can download it by going to the main page here and clicking on the green button named Code, at the top right of the file list. Then, click on Download ZIP from the drop menu. Unzip it.
  • You might want to move this directory to a convenient place in your computer.
  • From your Jupyter NotebookDashboard, navigate to the directory of the tutorial, and you'll see the Chapters files.

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Installing Python, Jupyter Notebook, and clonnnig the tutorial from GitHub
If you decide to install Python, there are a number of ways and resources to do so. Here, we will explain how to install Python and Jupyter Notebook using Conda.
Conda
Conda is package manager tool to help you install and update Python and any library you might need, keeping track of versions and conflicts. Not only for beginners, conda makes it easier and simpler to install and work with Python and other, always in development, libraries.
We will use Miniconda, which is a minimal installer of conda. This means that it will install conda, Python, the packages that they depend on, and only a small number of other packages. Nothing extra. The user will only install the packages (libraries) needed. This allows your Python installation to be tailored to your needs.
Install Miniconda
  • Download Minicondahere. Choose your platform, and make sure to get at least Python 3.8.
  • Follow the Regular installation instructions for each platform, located here. (There are many sites with easier (or harder) to follow instructions, but this site is the most up-to-date one.)
Install the necessary libraries and create a new 'environment'
  • Additional libraries can be installed one by one, or as we will do here, using a list of libraries in a file named environment.yml. Download this file directly from here, or find it in the main folder of this tutorial if you cloned it from Github (instructions below).
  • Open an anaconda prompt:

    • Windows: From your start button, look for Anaconda, within that folder open 'Anaconda Prompt'.
    • macOS: Open Launchpad, then open Terminal or iTerm.
    • Linux–CentOS: Open Applications - System Tools - Terminal.
    • Linux–Ubuntu: Open the Dash by clicking the upper left Ubuntu icon, then type “terminal”.
  • In the anaconda window, type conda list. If Anaconda is installed and working, this will display a list of installed packages and their versions.
  • In your anaconda prompt, type conda env create -f environment.yml. You may need to include the directory to where the environment.yml file was downloaded to.
Run the tutorial
  • In the anaconda prompt, type conda activate tutorialenv to load the created environment.
  • Open a Jupyter Notebook by typing jupyter notebook in the anaconda promt. This will open a Jupyter NotebookDashboard in your browser. From there you can open the Chapter Notebooks by clicking at the file links.
Github
Downloading the content of a GitGub repository to your local computer is referred as cloning. To clone this (or any repository):
  • In a terminal type git clone https://github.com/marisolgr/python_sat_tutorials
  • Or you can download it by going to the main page here and clicking on the green button named Code, at the top right of the file list. Then, click on Download ZIP from the drop menu. Unzip it.
  • You might want to move this directory to a convenient place in your computer.
  • From your Jupyter NotebookDashboard, navigate to the directory of the tutorial, and you'll see the Chapters files.

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Installing Python, Jupyter Notebook, and clonnnig the tutorial from GitHub
If you decide to install Python, there are a number of ways and resources to do so. Here, we will explain how to install Python and Jupyter Notebook using Conda.
Conda
Conda is package manager tool to help you install and update Python and any library you might need, keeping track of versions and conflicts. Not only for beginners, conda makes it easier and simpler to install and work with Python and other, always in development, libraries.
We will use Miniconda, which is a minimal installer of conda. This means that it will install conda, Python, the packages that they depend on, and only a small number of other packages. Nothing extra. The user will only install the packages (libraries) needed. This allows your Python installation to be tailored to your needs.
Install Miniconda
  • Download Minicondahere. Choose your platform, and make sure to get at least Python 3.8.
  • Follow the Regular installation instructions for each platform, located here. (There are many sites with easier (or harder) to follow instructions, but this site is the most up-to-date one.)
Install the necessary libraries and create a new 'environment'
  • Additional libraries can be installed one by one, or as we will do here, using a list of libraries in a file named environment.yml. Download this file directly from here, or find it in the main folder of this tutorial if you cloned it from Github (instructions below).
  • Open an anaconda prompt:

    • Windows: From your start button, look for Anaconda, within that folder open 'Anaconda Prompt'.
    • macOS: Open Launchpad, then open Terminal or iTerm.
    • Linux–CentOS: Open Applications - System Tools - Terminal.
    • Linux–Ubuntu: Open the Dash by clicking the upper left Ubuntu icon, then type “terminal”.
  • In the anaconda window, type conda list. If Anaconda is installed and working, this will display a list of installed packages and their versions.
  • In your anaconda prompt, type conda env create -f environment.yml. You may need to include the directory to where the environment.yml file was downloaded to.
Run the tutorial
  • In the anaconda prompt, type conda activate tutorialenv to load the created environment.
  • Open a Jupyter Notebook by typing jupyter notebook in the anaconda promt. This will open a Jupyter NotebookDashboard in your browser. From there you can open the Chapter Notebooks by clicking at the file links.
Github
Downloading the content of a GitGub repository to your local computer is referred as cloning. To clone this (or any repository):
  • In a terminal type git clone https://github.com/marisolgr/python_sat_tutorials
  • Or you can download it by going to the main page here and clicking on the green button named Code, at the top right of the file list. Then, click on Download ZIP from the drop menu. Unzip it.
  • You might want to move this directory to a convenient place in your computer.
  • From your Jupyter NotebookDashboard, navigate to the directory of the tutorial, and you'll see the Chapters files.