The session takes place every Tuesday 18.15h (CEST) in starterkitchen and via Zoom (https://opencampus.zoom.us/j/99908930682)

For the course it is mandatory to purchase the course material (udemy course: https://www.udemy.com/course/100-days-of-code/)

This gitbook contains the main information you need for the course (e.g. homework and extra materials)

To-Do

Homework:

• Do days 18 & 19 of the course

• Watch the videos

• Do the interactive coding exercises (Replit & Auditorium)

To-Do

Homework:

• Do days 24 & 25 of the course

• Watch the videos

• Do the interactive coding exercises (Replit & Auditorium)

To-Do

Homework:

• Prepare slides for a three minute presentation of your project progress

• Upload the PDF in the Mattermost channel

Final Project

• The deadline for submitting your well documented project is the 01/08/2024

• Your submission should tell a story:

  • What is the goal of the project?

  • What is the roadmap to reach that goal?

  • What did you try / did not work / can be improved upon?

• You have to at least hand in a Jupyter Notebook documenting code snippets, also if you are just working with .py files

• You can alternatively upload a zip file containing the Jupyter Notebook and needed project files (own libraries, ressources)

• In a group project it should become clear, who participated and who worked on what part

General remarks on the project

• The project should at least look and feel like the Projects you build in the course

• Use a GUI

  • Turtles at least, it has been demonstrated

  • Pygame is not difficult either

  • Tkinter? Others?

• Use of libraries is encouraged!

To-Do

• Buy the udemy course (ideally for the lower price) https://www.udemy.com/course/100-days-of-code

• Homework:

  • Do the first day of the course

    • Watch the videos

    • Do the interactive coding exercises (Replit & Auditorium)

Totally Optional

If you are very eager you can have a look at this additional, more advanced material:

• Watch lecture 0 of the Havard Python Course:

For the best learning experience, it's recommended to watch the 2-hour lecture twice: first for a quick overview, and then more slowly while taking notes. Please ensure you allocate sufficient time for this.

• Work through the following homework assignments

  • https://colab.research.google.com/drive/1Rk6TAFacJJQ4CxM2SF59ezqJj2VkBJ9P?usp=sharing

  • https://colab.research.google.com/drive/1pfFP971d3aRHno91KdVTTbywVpUMnMSk?usp=sharing

Always first create a copy with "Copy to Drive" or download the notebooks to work locally on them. Otherwise your progress won't be saved!!

To-Do

Homework:

• Do days 4 & 5 of the course

  • Watch the videos

  • Do the interactive coding exercises (Replit & Auditorium)

Totally Optional

• Watch lecture 2 of the Havard Python Course:

For the best learning experience, it's recommended to watch the 1-hour lecture twice: first for a quick overview, and then more slowly while taking notes. Please ensure you allocate sufficient time for this.

• Work through the following homework assignment

  • https://colab.research.google.com/drive/1vC07xaVcj20v7GC-w4vt-2aoOKaeQKuE?usp=sharing

  • https://colab.research.google.com/drive/1R6tIPUzGGTvAyyFgkr2xRwGotQXPZP_L?usp=sharing

Always first create a copy with "Copy to Drive" or download the notebooks to work locally on them. Otherwise your progress won't be saved!!

To-Do

Homework:

• Do days 2 & 3 of the course

  • Watch the videos

  • Do the interactive coding exercises (Replit & Auditorium)

Totally Optional

• Watch lecture 1 of the Havard Python Course:

For the best learning experience, it's recommended to watch the 1-hour lecture twice: first for a quick overview, and then more slowly while taking notes. Please ensure you allocate sufficient time for this.

• Work through the following homework assignment

  • https://colab.research.google.com/drive/1HVemFckA3FqYe3DdirA3tYJYTx5_Pvga

Always first create a copy with "Copy to Drive" or download the notebooks to work locally on them. Otherwise your progress won't be saved!!

To-Do

Homework:

• Do days 6 & 7 of the course

  • Watch the videos

  • Do the interactive coding exercises (Replit & Auditorium)

Totally Optional

• Watch lecture 3 of the Havard Python Course:

For the best learning experience, it's recommended to watch the 1-hour lecture twice: first for a quick overview, and then more slowly while taking notes. Please ensure you allocate sufficient time for this.

• Work through the following homework assignment

  • https://colab.research.google.com/drive/17GV7OC2AS76dHHrgHzQj4UiqJZY7p4XP?usp=sharing

Always first create a copy with "Copy to Drive" or download the notebooks to work locally on them. Otherwise your progress won't be saved!!

To-Do

Homework:

• Do days 8, 9 & 10 of the course

  • Watch the videos

  • Do the interactive coding exercises (Replit & Auditorium)

Optional

• Do day 11 of the course (Project Black Jack)

Totally Optional

• Watch lecture 4 of the Havard Python Course:

For the best learning experience, it's recommended to watch the 1-hour lecture twice: first for a quick overview, and then more slowly while taking notes. Please ensure you allocate sufficient time for this.

• Work through the following homework assignment

  • https://colab.research.google.com/drive/1VG7z0VEJFEV6x2w1ncvAo5jjGSvQCZDF?usp=sharing

Always first create a copy with "Copy to Drive" or download the notebooks to work locally on them. Otherwise your progress won't be saved!!

To-Do

Homework:

• Do days 12 & 13 of the course

  • Watch the videos

  • Do the interactive coding exercises (Replit & Auditorium)

• Watch the videos for day 15 for explanation of the terms IDE and Python Environment

• We will use a different setup method:

• Download and Install the Anaconda Distribution:

  • https://www.anaconda.com/download/success

  • You should be able to launch the Anaconda Navigator locally

  • We will continue setup in the next session (instructions below)

Local Setup Instructions

• Install Anaconda Distribution and Visual Studio Code

  • https://www.anaconda.com/download/success & https://code.visualstudio.com/

  • Mac users: Move from Downloads to Applications to install VS Code system-wide

• Launch Anaconda Navigator

  • Under Environments create a new environment, e.g. python_course, with a recent version of python (> 3.10)

  • In the package listing for the environment change filter from „installed“ to „all“ then search and install the package ipykernel

  • Under Home launch VS Code (if not available launch it from system)

• In VS Code:

  • Install the extensions Python and Jupyter (both signed by Microsoft)

  • Create a new file: File > New File > Jupyter Notebook

  • Select Kernel > Another Kernel > Python Environments > python_course or whichever environment you just created

• Start Coding!

Totally Optional

• Watch lecture 6 of the Havard Python Course:

For the best learning experience, it's recommended to watch the lecture twice: first for a quick overview, and then more slowly while taking notes. Please ensure you allocate sufficient time for this.

• Work through the following homework assignment

  • https://colab.research.google.com/drive/12EYFmsgPxXLRGyQl5k4Tw88zHNUaVcsN?usp=sharing

Always first create a copy with "Copy to Drive" or download the notebooks to work locally on them. Otherwise your progress won't be saved!!

Note1: Object Oriented Programming is a difficult but powerful concept, please take your time to revise the topic!

Note 2: If you want to install packages in the environment we set up during the course, you can do so by running %pip installpackage_name (notice the %-sign!) e.g. %pip install PrettyTable in one of your notebook cells after you selected the environment. This is only needed once, after that it can always be reimported with import.

To-Do

Homework:

• Do days 16 and 17 of the course

  • Watch the videos

  • Do the interactive coding exercises (Replit & Auditorium)

Totally Optional:

• Watch lecture 8 of the Havard Python Course:

Object Oriented Programming is not an easy concept. The video is almost three hours long!

For the best learning experience, it's recommended to watch the lecture twice: first for a quick overview, and then more slowly while taking notes. Please ensure you allocate sufficient time for this.

• Work through the following homework assignment (short)

  • https://colab.research.google.com/drive/1XYmbiRmgRtK9NVm8GtSjKtE--7S2u6qQ?usp=sharing

Always first create a copy with "Copy to Drive" or download the notebooks to work locally on them. Otherwise your progress won't be saved.

To-Do

• Respond in the Mattermost channel whether you can make it to the Course Meetup in Kiel

• Organize yourselves for ride-sharing or meeting in a different city

• More info to follow in the Mattermost channel

There will be no online class on 18/06/2024!

Optional

• Work through the first half of the following notebook for an additional explanation on OOP

Worklabs

• Week 2 (Variables): https://colab.research.google.com/drive/1L0JOZpw0hyUyL1wsukfDEYnrLbtrzMXv?usp=sharing

• Week 3 (Data Types): https://colab.research.google.com/drive/19e0d1XQPl_N-usKunopxeCHWzBH55Mce?usp=sharing

• Week 4 (For-Loops): https://colab.research.google.com/drive/1fkFsm4zKkWaJ0YAHJONhevjfJuwvdw1X?usp=sharing

• Week 5 (Functions and While-Loops): https://colab.research.google.com/drive/1oQkomT8uQp20B4fmDg6gFEPonx4hApZm?usp=sharing

• Week 6 (Functions II and Dicts): https://colab.research.google.com/drive/1QTr36wQtWhk_u5vGn8Yvl_h4ZyKzZ8lq?usp=sharing

• Weeks 9 & 11 (OOP): https://colab.research.google.com/drive/14Dj_N1VPnDALbhWnWwta_XASPHCyur3Y?usp=sharing

• Week 12 (File IO with JSON): https://colab.research.google.com/drive/1GMCuT08e1bgtG7ffQL5eGaJfbitrq11E?usp=sharing

Solutions (for the totally optional exercises)

Week 1 (Functions & Variables)

• https://colab.research.google.com/drive/1Qn7ZT-_yr1-PmcsetIZCljvwHb0PmOuc?usp=sharing

• https://colab.research.google.com/drive/1xl1mkRB31zBLQhE3DtuVZObZfssDA_ak?usp=sharing

Week 2 (Conditionals)

• https://colab.research.google.com/drive/1I72DNw-LS3BJO_NbkqYyqFZcUsLdFTh_?usp=sharing

Week 3 (Loops, Lists & Dicts)

• https://colab.research.google.com/drive/1qTtuAqND6Z-OP7rkr4hOWKqWzgf3rAHN?usp=sharing

Week 4 (Exceptions)

• https://colab.research.google.com/drive/1z9xqzcOV5FLoQl4PhNzZSIZJDkd7JgFC?usp=sharing

Week 5 (Libraries)

• https://colab.research.google.com/drive/1swsc4earaul7lo00q1KL1FlH6MLPZ8lG?usp=sharing

Week 6 (File Handling)

• https://colab.research.google.com/drive/1CwmTFMU36ZlOfd3OuYKN5QKfqZ6pLRDK?usp=sharing

Week 8 (Object Oriented Programming)

• https://colab.research.google.com/drive/1_XPcB6K3Rn65GwRcUTulsdtwAhKIlp9U?usp=sharing

To-Do

Homework:

• Decide for one of the two final projects (they will be shown on your certificate)

  • Knowledge Cards: Flash Card Tool

  • Digital Pet: Interactive Virtual Companion

• List out what data the program has to handle (e.g. flash card with front and back, pet stats like hunger) and the matching data structures you need in python

• Create a flow chart for the program, like you have seen with hangman in the course:

• We will form groups of ~5 people and you will get time to discuss together

Totally Optional

• Watch lecture 5 of the Havard Python Course:

For the best learning experience, it's recommended to watch the lecture twice: first for a quick overview, and then more slowly while taking notes. Please ensure you allocate sufficient time for this.

Always first create a copy with "Copy to Drive" or download the notebooks to work locally on them. Otherwise your progress won't be saved!!