Data Science Prep Course 2022

Welcome to the Data Science Prep Course repository! 🧑‍💻

Your first step in this journey is to carefully read the steps in this tutorial. You'll learn:

How to set up your environment;
The weekly workflow to follow during the Prep Course.

Prep Course Tutorial

Follow these steps to make sure your machine is ready by April 4, 2022.

1. Initial Setup

Here you'll setup and learn about all the tools you'll be using during the academy. Don't worry if you can't figure out what some of the commands you will use do. Anything that is important will be explained in more detail during the course.

⚠️ Important: You should complete this setup by April 4, as the course will begin on that day. If you are struggling to install any of the software mentioned below, tell us ASAP!

1.1(a) Windows 10/11 Setup

This section deals with setting up Windows Subsystem for Linux (WSL) on Windows 10/11. If you are using Ubuntu, skip this section (go to Ubuntu Setup). If you are using MacOS, skip this section (go to MacOS Setup).

Step 1: Follow this guide to setup WSL on Windows 10/11.

Why do I need to install WSL?

Windows Subsystem for Linux (WSL) enables you to run Linux command line inside Windows. All of our setup instructions are created for Mac OS/Ubuntu, so we won't be able to provide support on how to do it on Windows.

Step 2: Open a terminal (remember this!!) and run the following command:

sudo apt update && sudo apt upgrade && sudo apt install git

Step 3: Open a terminal (remember this!!) and check if you already have python3.8 by usind the command below. If your version is Python 3.8.x (x = any number), you can skip to step 4, otherwise continue with step 3.1 and 3.2

python3.8 --version

Step 3.1: Run the following commands to setup Python 3.8 (if you get an error with this command, check this ):

sudo add-apt-repository ppa:deadsnakes/ppa

Step 3.2: Run the following commands to install Python 3.8

sudo apt update && sudo apt install python3.8 -y

Step 4 Run the following command to get pip and venv:

sudo apt update && sudo apt upgrade && sudo apt install python3-pip python3.8-venv -y

Why do we install these?

We'll be using pip which is the reference Python package manager. You should always use a virtual environment to install python packages. We'll use venv to set them up.

1.1(b) Ubuntu Setup

This sections deals with installing some necessary packages.

Step 2: Open a terminal and run the following command:

sudo apt update && sudo apt upgrade && sudo apt install git

Step 3: Open a terminal and check what version of Python you have by using the command below. If your version is Python 3.8.x (x = any number), you can skip to step 4, otherwise continue with step 3.1 and 3.2

python3.8 --version

Step 3.1: Run the following commands to setup Python 3.8 (if you get an error with this command, check this ):

sudo add-apt-repository ppa:deadsnakes/ppa

Step 3.2: Run the following commands to install Python 3.8

sudo apt update && sudo apt install python3.8 -y

Step 4 Run the following command to get pip and venv:

sudo apt update && sudo apt upgrade && sudo apt install python3-pip python3.8-venv -y

Why do we install these?

We'll be using pip which is the reference Python package manager. You should always use a virtual environment to install python packages. We'll use venv to set them up.

1.1(c) MacOS Setup

Some of the steps in the following sections will require Homebrew for MacOS. Homebrew will make it easier to install software that we'll use later on.

Step 1: To open the terminal, choose one:

In Finder , open the /Applications/Utilities folder, then double-click Terminal.
By pressing cmd + space then type terminal and press enter.

The terminal should now be open:

Step 2: To install Homebrew for MacOS, copy and paste the following line in the terminal:

/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install.sh)"

Step 2.1: Sometimes it's necessary to install xcode command line utils. To do so, do the following command before installing homebrew:

xcode-select --install

You may be prompted to install the Command Line Developers Tools. Confirm and, once it finishes, continue installing Homebrew by pressing enter again.

Step 3: open a terminal and run the following command:

brew update --verbose

Step 4: then run the following command:

brew install git

Step 5: then run the following command:

brew install python@3.8

Step 6: then run the following command:

brew link python@3.8

1.1(d) MacOS M1 Setup

So you got the new M1 and you're supper happy with how fast it is.. Unfortunately dealing with apple silicon requires a little get around. You no longer have a intel chip and most things are available for intel. But don't worry, we'll be able to get there in the end.

Step 1: To open the terminal, choose one:

In Finder , open the /Applications/Utilities folder, then double-click Terminal.
By pressing cmd + space then type terminal and press enter.

The terminal should now be open:

Step 1.1: To use intel-based software, you'll need Rosetta2. Most of you should already have it installed for varied reasons. If you don't simply run the following line in the terminal:

softwareupdate --install-rosetta

This will launch the rosetta installer and you’ll have to agree to a license agreement.

Step 2: To install Homebrew x86 version, aka ibrew for MacOS, copy and paste the following line in the terminal:

arch -x86_64 /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install.sh)"

Step 2.1: Sometimes it's necessary to install xcode command line utils. To do so, do the following command before installing homebrew:

xcode-select --install

Step 3: Add an alias with ibrew to your $PATH

Step 3.1: Open .zshrc with nano to edit the file

nano ~/.zshrc

Step 3.2: Add the alias for ibrew at the end of the file

alias ibrew="arch -x86_64 /usr/local/bin/brew"

Step 3.3: Save the alterations to .zshrc with Ctrl + Ctrl, and enter Y when asked to save alterations.

Step 3.4: Activate the alterations done to .zshrc

source ~/.zshrc

Step 4: Install python 3.8 with ibrew

ibrew install python@3.8

Step 5: Add python 3.8 to $PATH

export PATH="/usr/local/opt/python@3.8/bin:$PATH" >> ~/.zshrc

Step 6 Re-activate the alterations done to .zshrc

source ~/.zshrc

1.2 Setup Git and GitHub

Git is a distributed version-control system for tracking changes in source code. A repository is where code lives, and the code from the prep course will live at ds-prep-course-2022 repository (basically where you are right now, reading this). All the learning materials and exercises will be released (made available) on this repository.

Step 1: Sign up for a GitHub account and follow the instructions.

Step 2: Open a terminal. Configure your email and username by running the 3 commands below. (replace mig.dias.1212@gmail.com below with the same email you used for github and buedaswag with your GitHub username).

git config --global user.email "mig.dias.1212@gmail.com"
git config --global user.username "buedaswag"
git config --global user.name "Bueda Swag"

1.3 Setup your Workspace Repository

The workspace directory/repository is where you will place everything you are working on, solve exercises, make changes to files, etc.

1.3.1 Creating the Workspace

Step 1: Log into GitHub

Step 2: In the upper-right corner of the page, click the "+" button and select New repository:

Step 3: Create a new private repository called ds-prep-workspace.

You need to explicitly select Private - This is your private work environment.
Initialize with a README.
Add a Python .gitignore.

You can also check Creating a new repository on GitHub for help.

1.3.2 Cloning the Workspace

Step 1: Open a terminal (or use one you've already opened)

Step 2: Create a folder named projects by using the mkdir command:

mkdir ~/projects

Step 3: Enter the folder by using the cd command:

cd ~/projects

Step 4: You can now clone the ds-prep-workspace repository you created on GitHub. Replace <username> below with your github username, removing the brackets < >, and run the command:

git clone https://github.com/<username>/ds-prep-workspace.git

Step 5: You'll be asked for your git username. Type it and press enter. Then you'll be asked for your git password. Type it and press enter

You should now have a local copy of your ds-prep-workspace in your ~/projects/ds-prep-workspace folder.

Note: If you already have a Github account and you happen to have 2FA enabled, you need an extra step and simply inputting your password will not work. In this case, you can go to https://github.com/settings/tokens, click on Generate new token. You can give it a name in the note field, such as ldsa-token. Then select repo in the scopes and click on Generate token. You will be prompted with a code that you should save (you will not be able to see it again after leaving that window). Now use this code instead of your password when cloning your repo.

Remember that by August 13, 2021, the username+password authentication will no longer be supported.

1.4 Clone the `ds-prep-course-2022` repository

Let's clone the ds-prep-course-2022 repository, just like we did for ds-prep-workspace. This is where all of the learning materials will be made available, as the academy progresses.

Step 1: Open a terminal (or use one you've already opened) and enter the projects folder:

cd ~/projects

Step 2: Clone the Prep Course repository (it's the same that contains the README you're reading right now!):

git clone https://github.com/LDSSA/ds-prep-course-2022.git

1.5 Creating a virtual environment

Before you work on a learning unit, you'll need to activate a virtual environment. By using a virtual environment, you ensure that you have a stable and compatible set of Python packages. On the Prep Course we will use the same environment throughout. As a data scientist though, you'll probably create different environments for different purposes or projects.

Step 1: Start by ensuring pip, setuptools, and wheel are up to date:

python3.8 -m pip install --user --upgrade pip setuptools wheel

Step 2: Create a virtual environment with the name prep-venv:

python3.8 -m venv ~/.virtualenvs/prep-venv

Step 3: Activate the environment

source ~/.virtualenvs/prep-venv/bin/activate

After you activate your virtual environment you should see at the leftmost of your command line the name of your virtual environment surrounded by parenthesis, like this:

(prep-venv) mig@macbook-pro %

Step 4: Last but not least, don't forget to update pip.

pip install -U pip

1.6 Testing the workflow

Finally, test the workflow (next section) on "Week 00" before April 4. This folder is used to give instructors guidelines to produce the learning units. We are also using it to ensure that you are able to run and submit a learning unit.

2. Learning Unit Workflow

Each week a new folder is released on ds-prep-course-2022 repository. On week 1 (April 4 - April 10), the folder released will be "Week 01". On week 02, it will be called "Week 02", and so on. These folders contain the learning units you'll be working on. The releases will be announced on Slack, on the #announcements channel.

2.1 Weekly Setup - Get the learning materials

This section only needs to be done ONCE for each week. It is about getting the materials, copying them to your local workspace and adding new packages to your virtual environment.

Run the following on a terminal:
```
cd ~/projects/ds-prep-course-2022/
```
```
git pull
```
⚠️ Before running the command below: - If "Week <week number>" already exists on the destination folder, it will be replaced, so make sure you do this once and before starting to work on the exercises.
```
cp -r ~/projects/ds-prep-course-2022/"Week <week number>" ~/projects/ds-prep-workspace/
```

If you're curious about how you could this using your OS GUI check this guide

Activate the prep-venv environment you created on the Initial Setup:
```
source ~/.virtualenvs/prep-venv/bin/activate
```

Install the python packages from requirements.txt for each learning unit (there are multiple learning units (SLU's) in a Week!):

pip install -r ~/projects/ds-prep-workspace/"Week <week number>"/"<SLU name>"/requirements.txt

Example: For Week 00 you'd do:

pip install -r ~/projects/ds-prep-workspace/"Week 00"/"SLU00 - Jupyter Notebook"/requirements.txt

2.2 - Working on the learning units

Each time you want to work on the materials that you already copied to your workspace, follow these steps.

Step 1 - Enter the ds-prep-workspace directory:

cd ~/projects/ds-prep-workspace

Step 2 - Activate your virtual environment:

source ~/.virtualenvs/prep-venv/bin/activate

Step 3 - Open the Jupyter Notebook application by running:

jupyter notebook

If you are running Windows 10/11, run the following instead:

jupyter notebook --NotebookApp.use_redirect_file=False

When you run the jupyter notebook command, you should see something similar to this in your terminal: and your browser should pop up with Jupyter open. However, if this does not happen, you can simply copy the link you see on your terminal (the one that starts by http://localhost) and past it in your browser's address bar.

Note: If you see some scary looking messages, don't worry, you can just ignore them.

Step 4 - Work on the learning unit

All learning units come as a set of Jupyter Notebooks. These are documents that can contain text, images and live code that you can run interactively.

Learning Notebook: Make sure you open and go through the Learning Notebook(s) first.

⚠️ Important: ALWAYS work on the files on your ds-prep-workspace repository. NEVER work on files inside in the ds-prep-course-2022 repository!

Exercise Notebook:

This is a notebook with exercises you will work on. For example, on the sample Learning Unit we have:
- Follow the instructions provided in the notebook. You'll see cells with the exercises and cells for you to write solutions.
- Once you've solved all of the exercises we recommend following this simple checklist to avoid unexpected surprises: 1. Save the notebook (again) 2. Run "Restart & Run All"
```
    ![Restart & Run All](assets/jupyter_clear_and_run.png)

3. At this point the notebook should have run without any error messages showing up.

    ![terminal notebook](assets/terminal_notebook.png)

4. Close the browser and the terminal.
```

Step 5 - Grading the Exercise Notebook

Get your slackid, then open a terminal and run the following:

cd ~/projects/ds-prep-workspace/"Week <week number>"/"<SLU name>"
python submit.py --learning_unit <learning unit number> --slackid <your slackid>

Example: For Week 00 you'd do:

cd ~/projects/ds-prep-workspace/"Week 00"/"SLU00 - Jupyter Notebook"
python submit.py --learning_unit 0 --slackid <your slackid>

Then you can look for your submission here

Step 6 - Commit and push

Open a terminal and run the following:

cd ~/projects/ds-prep-workspace

git add .

git commit -m "Exercises for Week <week number>"

git push

You'll be asked for your password - enter it and press enter. Type your git password and press enter.

Note: You'll be learning all about git add, git commit and git push during the Prep Course. For now, just know that these are the necessary steps for you to save your work to your remote repository ds-prep-workspace.

3. Updates to Learning Units

As much as we try and have processes in place to prevent errors and bugs in the learning units some make it through to you.

If the problem is not in the exercise notebook you can just pull the new version from the ds-prep-course-2022 repo and replace the file on your ds-prep-workspace (steps 1 and 2 from last section).

If the correction is in the exercise notebook, however, you can't just replace the file because your work is there and you'll lose it!

When a new version of the exercise notebook is released (and announced) you will have to merge the work you've already did into the new version of the notebook.

At the moment our suggestion to merge the changes is:

Rename the old version;
Copy the new exercise notebook over;
Open both and copy paste your solutions to the new notebook.

We understand it's not ideal and are working on improving this workflow.

4. How to ask for help

During the Prep Course you will surely run into problems and have questions about the materials. Please refer to this wiki page on how to ask for help!

You can contact us on Slack. Here's how to post questions on Slack:

Use the channel of the Week you're asking about;
Check if your question was already asked before posting;
If you want to report bugs on the materials, open an issue on ds-prep-course-2022;
If you want to give feedback post it in the #feedback channel;
Anything not related with the learning materials should go to the #random channel. No exceptions;
Always answer in a thread;
Use Direct Messages (DMs) to instructors only if you need to share your solutions or a personal concern.

Alternatively, open an issue.

5. Troubleshooting

When I open Windows Explorer through Ubuntu, it goes to a different folder than in the guide
Ubuntu on Windows 10 high CPU usage, crashes
When I pull from the ds prep course-2022 repository, I get an error
When I try to open jupyter notebook, I get an error
When I use the cp command the > sign appears and the command does not execute
When setting up python 3.8 i get an error
Nothing happens when I type my password
I still have a NotImplemented error

1. When I open Windows Explorer through Ubuntu, it goes to a different folder than in the guide

Please make sure:

you are running the command explorer.exe . including the dot at the end.
you are running Windows 10 version 1909 or newer.

2. Ubuntu on Windows 10 high CPU usage, crashes

Make sure you are running Windows 10 version 1909 or newer.
Then, try following these steps

3. When I pull from the `ds-prep-course-2022` repository, I get an error

If you get an error like the following when pulling:

error: Your local changes to the following files would be overwritten by merge:
<some files>
Please commit your changes or stash them before you merge.
Aborting

what git is telling you is that changes were made by you to the files on the ~/projects/ds-prep-course-2022 folder, and is not pulling the changes made by the instructors because they would override the changes that you made there.

To fix this do the following:

Make sure that any change you made to the files on ~/projects/ds-prep-course-2022 (that you don't want to lose) is saved in your ~/projects/ds-prep-workspace repository (refer to Updates to Learning Units on how to do this), and if you don't want to keep the changes you made to these files, just continue on to the next step;
Go to the ~/projects/ds-prep-course-2022 folder and run:
```
cd ~/projects/ds-prep-course-2022
git stash
```
Now you can pull from the ds-prep-course-2022 repository:
```
git pull
```

4. When I try to open `jupyter notebook`, I get an error

If you get this error when trying to open a notebook:

migs-MBP% jupyter notebook
zsh: command not found: jupyter

make sure to activate your virtual environment before opening jupyter notebook:

source ~/.virtualenvs/prep-venv/bin/activate

5. When I use the `cp` command the `>` sign appears and the command does not execute

cp -r ~/projects/ds-prep-course-2022/“Week 00" ds-prep-workspace
>

Make sure to use this type of quotes " and not these ones “.

6. When setting up python 3.8 i get an error

When I run this command:

sudo add-apt-repository ppa:deadsnakes/ppa

I get this error:

W: GPG error: http://apt.postgresql.org/pub/repos/apt focal-pgdg InRelease: The following signatures couldn't be verified because the public key is not available: NO_PUBKEY 7FCC7D46ACCC4CF8

Solution: Take the id in front of NO_PUBKEY (in my case its 7FCC7D46ACCC4CF8) and run the following command:

sudo apt-key adv --keyserver keyserver.ubuntu.com --recv-keys 7FCC7D46ACCC4CF8

7. Nothing happens when I type my password

In step two it asks me for the computer password. However, I am not being able to write anything

Solution: When you write your password you might not get any visual feedback and that's okay! Write it as normal and hit enter when you're done!

8. I still have a NotImplemented error

I've completed the exercise in the Exercise Notebook but when I run the cell I get a NotImplementedError.

Solution: The raise NotImplementedError() are added to the exercise cell as a placeholder for where you're supposed to add your solution/code. It is meant to be removed!

6. Tips and Tricks

Coming soon.

**7. Tutorial videos from Prep Course 2020

🎁🎬 Check the tutorial videos if you have any doubts after following this tutorial. These videos were made for the Prep Course of year 2020, so there may be some differences.

Name		Name	Last commit message	Last commit date
Latest commit History 23 Commits
SLU01 - Pandas 101		SLU01 - Pandas 101
SLU02 - Subsetting Data in Pandas		SLU02 - Subsetting Data in Pandas
SLU03 - Visualization with Pandas and Matplotlib		SLU03 - Visualization with Pandas and Matplotlib
assets		assets
coding_test - Coding Test		coding_test - Coding Test
guides		guides
README.md		README.md

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Data Science Prep Course 2022

Prep Course Tutorial

Initial Setup (do this before April 4 !!)

Weekly workflow

Help

1. Initial Setup

1.1(a) Windows 10/11 Setup

1.1(b) Ubuntu Setup

1.1(c) MacOS Setup

1.1(d) MacOS M1 Setup

1.2 Setup Git and GitHub

1.3 Setup your Workspace Repository

1.3.1 Creating the Workspace

1.3.2 Cloning the Workspace

1.4 Clone the ds-prep-course-2022 repository

1.5 Creating a virtual environment

1.6 Testing the workflow

2. Learning Unit Workflow

2.1 Weekly Setup - Get the learning materials

2.2 - Working on the learning units

3. Updates to Learning Units

4. How to ask for help

5. Troubleshooting

1. When I open Windows Explorer through Ubuntu, it goes to a different folder than in the guide

2. Ubuntu on Windows 10 high CPU usage, crashes

3. When I pull from the ds-prep-course-2022 repository, I get an error

4. When I try to open jupyter notebook, I get an error

5. When I use the cp command the > sign appears and the command does not execute

6. When setting up python 3.8 i get an error

7. Nothing happens when I type my password

8. I still have a NotImplemented error

6. Tips and Tricks

**7. Tutorial videos from Prep Course 2020

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1.4 Clone the `ds-prep-course-2022` repository

3. When I pull from the `ds-prep-course-2022` repository, I get an error

4. When I try to open `jupyter notebook`, I get an error

5. When I use the `cp` command the `>` sign appears and the command does not execute

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