You might not understand what it is. It is one of my tasks in the Survival Analysis course that I took at my college. The problem is, I have to explain, or actually, I have to construct the three-sample test (Log-Rank test) table by myself. It was supposed to be made in Excel, but I made it in R Studio. Just because I think it is more comfortable, even though my code ends up such a mess. Here I used BMT (Bone Marrow Transplantation) dataset, taken from the KMsurv package in R Studio. I tried to analyze whether the disease-free survival function from three populations (ALL, AML low-risk, and AML high-risk patients) are different. (Look more Example 7.4 at pages 212). It was not supposed to be shared. You can see that I wrote the comments in Bahasa Indonesia. But let me appreciate my work and save it in here because I'm surprisingly done it with so many code lines which are not efficient. Let it be a part of my experiences~

pizzapy Disclaimer This is my fork of https://github.com/gamagori/pizzapi It's heavily modified and not well documented, but i'm going to get to that. the below example should work though. sorry! was kind of in a rush this morning. Setup 1.install python3 2.download this repository 3.Unzip/extract the .rar 4.install the requirements of the repository `pip install -r (filepath of quirements.txt)` (yes you do neeed to specify the file path of the requirements) 5.in the "Use this interpreter" interpreter already placed in the pizzapi-master folder, type 'from pizzapy import *' and everything else that Jarvis is typing in the video. https://www.youtube.com/watch?v=Nxu6GlDleqA 6.have fun Description This is a Python wrapper for the Dominos Pizza API. It's a port of the pizzapi node.js module written by RIAEvangelist. Quick Start First construct a Customer object and set the customer's address: customer = Customer('Barack', 'Obama', 'barack@whitehouse.gov', '2024561111', '700 Pennsylvania Avenue NW, Washington, DC, 20408') Then, find a store that will deliver to the address. my_local_dominos = StoreLocator.find_closest_store_to_customer(customer) In order to add items to your order, you'll need the items' product codes. To find the codes, get the menu from the store, then search for items you want to add. You can do this by asking your Store object for its Menu. menu = my_local_dominos.get_menu() Then search menu with menu.search. For example, running this command: menu.search(Name='Coke') Should print this to the console: 20BCOKE 20oz Bottle Coke® $1.89 20BDCOKE 20oz Bottle Diet Coke® $1.89 D20BZRO 20oz Bottle Coke Zero™ $1.89 2LDCOKE 2-Liter Diet Coke® $2.99 2LCOKE 2-Liter Coke® $2.99 After you've found your items' product codes, you can create an Order object add add your items: order = Order.begin_customer_order(customer, my_local_dominos) order.add_item('P12IPAZA') # add a 12-inch pan pizza order.add_item('MARINARA') # with an extra marinara cup order.add_item('20BCOKE') # and a 20oz bottle of coke You can remove items as well! order.remove_item('20BCOKE') Wrap your credit card information in a CreditCard: card = CreditCard('4100123422343234', '0115', '777', '90210') And that's it! Now you can place your order. order.place(card) my_local_dominos.place_order(order, card)