36 KiB
What we'll learn
You'll learn three things at the same time so don't get discouraged if it feels a bit much at the start. Everybody's issues will be in these three different domains and at the beginning it can be difficult to differentiate between them. Keep this in mind, everybody has to go through this stage and the click comes at different times for different people but everybody clicks at some point! The three new things you'll learn:
- the concepts of programming, most notably Object Orientated Programming (OOP)
- the syntax of one particular language, in our case Python3
- the tools needed to start programming in our language of choice
Within each of these topics there are subtopics but there are not bottomless! Below is a small overview of how I would subdivide them.
Concepts
The subtopics behind the concept of programming can be sliced (in no particular order) as follows:
- objects or OOP (Object Orientated Programming)
- abstraction
- encapsulation
- inheritance
- polymorphism
- variables (which are not boxes in python3)
- conditional logic
- functions
- loops
The concept behind these topics are the same in most languages, it's just how you write them that is different. This how is part of the syntax of the language.
Syntax
In computer science, the syntax of a computer language is the set of rules that defines the combinations of symbols that are considered to be correctly structured statements or expressions in that language. This applies both to programming languages, where the document represents source code, and to markup languages, where the document represents data. The syntax of a language defines its surface form.[1] Text-based computer languages are based on sequences of characters,
The quote above is taken shamelessly from wikipedia.
Tools
Writing code
Scripts are text files, plain and simple. So in order to write a Python3 script all we need is a text editor. Nano, vim, notepad++ all do a good job of editing plain text files but some make it easier than others. You've noticed that vim colors the code of a shell script no? One of the many features of an IDE is syntax highlighting. It colors things such as keywords which makes our life so much nicer when writing code. We'll come back to these features in a bit.
Running code
In order to run Python3 code you need the Python3 interpreter. This is because when you execute your script, the interpreter will read and execute each line of the text file line by line.
Most people who want to write and run Python3 code, or any language for that matter, will install an Integrated Development Environment to do so. There are no rules as to what has to be included for a program to qualify as an IDE but in my opinion they should include:
- syntax highlighting
- autocomplete
- goto commands such as goto definition, goto declaration, goto references
- automatic pair opening and closing
- builtin help navigation
There is a plethora of IDE's available and you can't really make a wrong choice here, but to make the overall learning curve a bit less steep we'll start out with a user friendly IDE, pycharm.
The python3 shell
TODO animated overview of the shell and the world of OOP
Installing pycharm
TODO
Your first project
In almost any language you'll find a helloworld program. It serves to illustrate a very basic working script or program to showcase the syntax. In python a helloworld is done as such.
print("Hello World!")
Just for reference below are a few helloworld programs in different languages.
First c# then c then c++ and last but not least javascript.
c#
Console.WriteLine("Hello World!");
c
#include <stdio.h>
int main() {
printf("Hello World!");
return 0;
}
c++
// Your First C++ Program
#include <iostream>
int main() {
std::cout << "Hello World!";
return 0;
}
javascript
alert( 'Hello, world!' );
How to execute
- within pycharm
- from the command line
Simple printing
The most basic printing can be done by calling the print function.
In python a call is symbolized by the ().
In practice this becomes as follows.
print("hello world")
print("my name is Wouter")
print("I'm", 35, "years old")
🏃 Try it
Try printing different lines and with combinations of different object types such as int, float and str.
What happens if you add (+) values to one another?
We can also print the objects referenced by variables. A simple example:
name = "Wouter"
age = "35"
print("Hello, my name is", name, "and I'm", age, "years old.")
While it works perfectly well it's not super readable. We can improve the readability by using either string replacement or string formatting. My personal preference is string formatting.
🏃 Try it
Have a look at both ways illustrated below and try them out.
String replacement
name = "Wouter"
age = "35"
print(f"Hello, my name is {name} and I'm {age} years old.")
String formatting
name = "Wouter"
age = "35"
print("Hello, my name is {} and I'm {} years old.".format(name, age))
Some links to read up
Taking input
The first builtin function we saw is print which can be used to signal messages to the user.
But how can we get some information from the user?
This is done with the input function.
If we open up a python shell we can observe it's behaviour.
>>> input()
hello world
'hello world'
>>>
It seems to echo back what we type on the empty line.
If we take this idea and add it to a script the behaviour changes slightly.
The prompt appears but when we hit enter the text is not printed.
This is one of the slight nuances between running scripts and using the shell.
The shell is more verbose and will explicitly tell you what a function returns, unless it doesn't return anything.
Some functions are blocking
When we call print the function is executed immediately and the python interpreter continues with the next line.
The input function is slightly different.
It is called a blocking function.
When a blocking function is called the program is waiting for some action.
Once the condition is met, the program continues.
It's important to be aware of this but don't overthink it.
We'll get back to this behaviour later.
Functions can return something
So, functions can return something but how can we use the returned objects?
This is where variables come in handy.
The input function will always return an object of type str.
If we want to use this object later in our code we need to add a post-it to it so we can reference it later.
Remember that the object is created by the function call, and we add the reference after the object's creation.
print("What is your name? ")
answer = input()
print("Well hello", answer, "!")
When looking at the code block above did you notice the empty space I added after my question? Can you tell me why I did that?
🏃 Try it
Try playing around with the input function and incorporate the different ways to print with it.
Ask multiple questions and combine the answers to print on one line.
Functions can take arguments
Some, if not most, functions will take one or more arguments when calling them.
This might sound complicated but you've already done this!
The print function takes a-message-to-print as an argument, or even multiple ones as you probably noticed when playing around.
The input function can take arguments but as we've seen does not require an argument.
When looking at the documentation we can discover what the function does, how to call the function and what it returns.
⛑ CTRL-q opens the documentation in pycharm
Help on built-in function input in module builtins:
input(prompt=None, /)
Read a string from standard input. The trailing newline is stripped.
The prompt string, if given, is printed to standard output without a
trailing newline before reading input.
If the user hits EOF (*nix: Ctrl-D, Windows: Ctrl-Z+Return), raise EOFError.
On *nix systems, readline is used if available.
We can add one argument inside the input call which serves as a prompt.
Now which type should the object we pass to input be?
The most logical type would be a str that represents the question to ask the user no?
Let's try it out.
answer = input("What is your name?")
print("Well hello {}!".format(answer))
🏃 Try it
Modify the questions you asked before so they have a proper prompt via the input function.
Ask multiple questions and combine the answers to print on one line with different print formatting.
Taking input and evaluation
We can do a lot more with the input from users than just print it back out. It can be used to make logical choices based on the return value. This is a lot easier than you think. Imagine you ask me my age. When I respond with 35 you'll think to yourself "that's old!". If I would be younger then 30 you would think I'm young. We can implement this logic in python with easy to read syntax. First we'll take a python shell to experiment a bit.
>>> 35 > 30
True
>>> 25 > 30
False
>>> 30 > 30
False
>>> 30 >= 30
True
>>>
The True and False you see are also objects but of the type bool.
If you want to read up a bit more on boolean logic I can advise you this page and also this.
This boolean logic open the door towards conditional logic.
Conditional logic
Let's convert the quote below to logical statements.
If you are younger than 27 you are still young so if you're older than 27 you're considered old, but if you are 27 on the dot your life might be at risk!
age = 35
if age < 27:
print("you are still very young, enjoy it!")
elif age > 27:
print("watch out for those hips oldie...")
else:
print("you are at a dangerous crossroad in life!")
⛑ Do not fight the automatic indentation in your IDE! Pycharm is intelligent enough to know when to indent so if it does not indent by itself, you probably made a syntax error.
Class string methods
Let's take the logic above and implement it in a real program. I would like the program to ask the user for his/her name and age. After both questions are asked I would like the program to show a personalized message to the user. The code below is functional but requires quite a bit of explaining!
name = input("What is you name?")
age = input("What is you age?")
if age.isdigit():
age = int(age)
else:
print("{} is not a valid age".format(age))
exit(1)
if age < 27:
print("My god {}, you are still very young, enjoy it!".format(name))
elif age > 27:
print("Wow {}! Watch out for those hips oldie...".format(name))
else:
print("{}, you are at a dangerous crossroad in life!".format(name.capitalize()))
An object of the type str has multiple methods that can be applied on itself.
It might not have been obvious but the string formatting via "hello {}".format("world") we did above is exactly this.
We call the .format method on a str object.
Strings have a handful of methods we can call.
Pycharm lists these methods when you type . after a string.
In the shell we can visualize this as well.
For those of you not familiar with shells have a look at tab completion.
>>> name = "wouter"
>>> name.
name.capitalize( name.format( name.isidentifier( name.ljust( name.rfind( name.startswith(
name.casefold( name.format_map( name.islower( name.lower( name.rindex( name.strip(
name.center( name.index( name.isnumeric( name.lstrip( name.rjust( name.swapcase(
name.count( name.isalnum( name.isprintable( name.maketrans( name.rpartition( name.title(
name.encode( name.isalpha( name.isspace( name.partition( name.rsplit( name.translate(
name.endswith( name.isascii( name.istitle( name.removeprefix( name.rstrip( name.upper(
name.expandtabs( name.isdecimal( name.isupper( name.removesuffix( name.split( name.zfill(
name.find( name.isdigit( name.join( name.replace( name.splitlines(
>>> name.capitalize()
'Wouter'
>>> name.isd
name.isdecimal( name.isdigit(
>>> name.isdigit()
False
>>> age = "35"
>>> age.isdigit()
True
>>>
⛑ Remember CTRL-q opens the documentation in Pycharm and don't forget to actually use it!
Some links to read up on
- realpython conditional logic
Coding challenge - Celsius to Fahrenheit converter
Your first challenge!
I would like you to write a program that converts Celsius to Fahrenheit.
You should do this in a new python file.
I suggest you call it c_to_f.py or something that makes sense to you.
The result of this program could be as follows.
➜ ~ git:(master) ✗ python3 ex_celcius_to_fahrenheit.py
What's the temperature?30
30°C equals 86.0°F
Go turn off the heating!
➜ ~ git:(master) ✗ python3 ex_celcius_to_fahrenheit.py
What's the temperature?4
4°C equals 39.2°F
Brrrr, that's cold!
➜ ~ git:(master) ✗ python3 ex_celcius_to_fahrenheit.py
What's the temperature?blabla
I can't understand you...
➜ ~ git:(master) ✗
If you want to make the program a bit more complex, try adding the reverse as in Fahrenheit to Celsius. Your first question to the user could then be in which direction do you want to convert?.
Spoiler warning
result = input("What's the temperature?")
if result.isdigit():
celsius = int(result)
else:
print("I can't understand you...")
exit(1)
farenheit = celsius * (9/5) + 32
print("{}°C equals {}°F".format(celsius, farenheit))
if celsius < 15:
print("Brrrr, that's cold!")
else:
print("Go turn off the heating!")
A text based adventure game
We can use conditional logic to create quite elaborate decision processes.
Let's build a mini text based adventure game.
Granted it's not a tripple A game but it will train your if and else skills plus it will highlight some issues we'll overcome in the next section.
Consider the diagram above we can imagine a program that functions nicely with the code below. It is not very readable nor scalable.
answer = input("You're at a cross section. Do you go left or right?")
if answer.startswith("l"):
answer = input("Down this hall you encounter a bear. Do you fight it?")
if answer.startswith("y"):
print("The bear counter attack! He kills you")
print("game over!")
exit(0)
elif answer.startswith("n"):
print("It's a friendly bear! He transforms into a wizard!")
answer = input("The wizard asks you if you know the meaning of life?")
if answer == "42":
print("He knods approuvingly and upgrades you to wizard status!")
print("You win!")
exit(0)
else:
print("He shakes his head in disbelief. You fool!")
print("game over!")
else:
print("that's not a valid choice...")
print("game over!")
exit(0)
elif answer.startswith("r"):
answer = input("Down this hall you find some mushrooms. Do you eat them?")
if answer.startswith("n"):
print("You starve to dead...")
print("game over!")
exit(0)
elif answer.startswith("y"):
print("A wizard apprears out of thin air!")
answer = input("The wizard asks you if you know the meaning of life?")
if answer == "42":
print("He knods approuvingly and upgrades you to wizard status!")
print("You win!")
exit(0)
else:
print("He shakes his head in disbelief. You fool!")
print("game over!")
else:
print("that's not a valid choice...")
print("game over!")
exit(0)
pass
else:
print("game over!")
exit(0)
I urge you to read up on some best practices for if statements.
We will not improve on this particular example but I do advise you to create a similar style game during one of the workshops once we have learned some new tricks.
Creating your own functions
One of the issues we have in the text based game example is duplicate code. At two spots we execute almost identical code and this is something that should be avoided at all costs! Why write the same thing over and over? You're better off writing it once and use it lots. This is where functions come into play.
Python ships with a lot of built-in functions but we can create our own very easily.
The keyword to define a function in python is def.
All the code that is indented will be executed when we call the function.
Here is a basic abstraction of correct syntax.
def first_function():
print("I'm a function")
print("Hear me roar!")
If you type only the code above in a new script, and run it, you won't see much. This is because you only created the function. To use it you need to call it. This is done as follows.
def first_function():
print("I'm a function")
print("Hear me roar!")
first_function()
Learning how to create functions is a big step in your programming journey. It can seem confusing at first because the code execution appears to jump around. This is however not the case. Your script is still read and executed line by line so you can not call a function before you defined it! For now you should not overthink the structure of you scripts. As long as they work you should be happy. We'll dive into the proper anatomy of a program real soon.
Functions that do something
The first function I showed you above performs a series of actions each time it is called. We can use it to bake cakes for example. Below we create one function to bake the cake, and call it three times to bake three cakes.
def bake_chocolate_cake():
print("mix the base ingredients")
print("add the chocolate flavour")
print("put in the oven")
print("enjoy!")
bake_chocolate_cake()
bake_chocolate_cake()
bake_chocolate_cake()
Now, you might like a vanilla cake from time to time. Easy, we'll just write a second function for that purpose.
def bake_chocolate_cake():
print("mix the base ingredients")
print("add the chocolate flavour")
print("put in the oven")
print("enjoy!")
def bake_vanilla_cake():
print("mix the base ingredients")
print("add the vanilla flavour")
print("put in the oven")
print("enjoy!")
bake_chocolate_cake()
bake_chocolate_cake()
bake_vanilla_cake()
bake_chocolate_cake()
bake_vanilla_cake()
Voila, we can now make as many chocolate and vanilla cakes as we want!
But what about bananas?
Following our logic we can create a third function to bake a banana cake but you're probably seeing a pattern here.
Each bake_FLAVOR_cake function is almost identical, just for the flavoring.
We can create one generic bake_cake function and just add the custom flavor each time we actually bake a cake.
This is done with arguments.
def bake_cake(flavor):
print("mix the base ingredients")
print("add the {} flavor".format(flavor))
print("put in the oven")
print("enjoy!")
bake_cake("chocolate")
bake_cake("vanilla")
bake_cake("banana")
Variable scope
Variable scope might sounds complicated but with some examples you'll understand it in no time.
Remember variables are like unique post-its?
Well, variable scope is like having multiple colors for your post-its.
A yellow post-it with name on it is not the same as a red one with name on it so they can both reference different objects.
Scope is where the colors change, and this is done automatically for you in python.
It's an inherent feature of the language but the concept of scope is not unique to python, you'll find it in most modern languages.
Now, some examples.
total = 9000
def function_scope(argument_one, argument_two):
print("inside the function", argument_one, argument_two)
total = argument_one + argument_two
print("inside the function", total)
function_scope(300, 400)
print("outside the function", total)
Here total outside of the function references a different object from the total inside of the function.
Python is very nice and will try to fix some common mistakes or oversights by itself.
For example.
name = "Wouter"
def function_scope():
print("inside the function", name)
function_scope()
print("outside the function", name)
But we can not modify the referenced object from inside the function.
This will give an UnboundLocalError: local variable 'name' referenced before assignment error
name = "Wouter"
def function_scope():
print("inside the function", name)
name = "Alice"
function_scope()
print("outside the function", name)
There is however a handy keyword we can use to explicitly reference variables from the outermost scope.
This is done as follows with the global keyword.
name = "Wouter"
def function_scope():
global name
print("inside the function", name)
name = "Alice"
function_scope()
print("outside the function", name)
Functions that return something
While the global keyword can be useful, it's rarely used.
This is because function can not only do thing, they can return objects.
The input function we've been using is a prime example of this as it always give you a str object back with the content of the user input.
We can copy this behaviour as follows.
def square_surface(length, width):
surface = length * width
return surface
square = square_surface(20, 40)
print(square)
🏃 Try it
Functions that return an object are essential to any modern programming language. Think of some calculations such as the Celsius to Fahrenheit converter and create the corresponding functions.
Some links to read up on
- some best practices for functions
- more details on variable scope
- in depth article on return values in python
Coding challenge - Pretty Print
Can you write me a function that decorates a name or message with a pretty character.
You should do this in a new python file.
I suggest you call it pretty_frame.py or something that makes sense to you.
Kind of like the two examples below.
##########
# Wouter #
##########
#################
# Python rules! #
#################
As an extra challenge you could return a multi line string and print it outside of the function!
Spoiler warning
def pretty_print(msg, decorator="#"):
line_len = len(msg) + (len(decorator) * 2) + 2
print(decorator * line_len)
print("{} {} {}".format(decorator, msg, decorator))
print(decorator * line_len)
pretty_print("Wouter")
pretty_print("Python rules!")
pretty_print("Alice", "-")
Using the standard library
There is no need to reinvent the wheel each time you build a bike. The same goes for programming. Most, if not all, programming languages come with a standard library which is a collection of additional objects and functions to facilitate common problems. We'll look at some essential ones together but I urge you to read up a bit when you have some free time. Over the course of you programming journey you'll discover that efficient programming is often finding the right libraries and chaining them together to suit your use case.
Imagine we want to include a dice in our text based adventure game.
How on earth do we program that?
We need some for of randomness in our code.
A quick google demonstrates this is quite difficult without the use of libraries.
As randomness is both extensively used in programming and it's quite difficult to do properly, you'll find a random library in most languages.
The new keyword you'll learn here is import.
It allows you to add extra functionality to your program.
Once imported we can call functions that exist from the library in question.
So, our dice becomes as follows.
import random
throw = random.randint(1, 6)
print(throw)
⛑ Autocomplete is your friend. You can use it to browse around a library and discover interesting functions or classes you can make use of.
A second widely used library is datetime.
It facilitates handling dates, hours, calendars, time differences, etc.
A simple program we can write to illustrate it's purpose is a will-it-be-Sunday program.
You give date and the program tells you if it's a Sunday or not.
import datetime
sunday = 6
date = input("which date should I look up? (example: 2022 3 23) ")
year, month, day = date.split()
date = datetime.date(int(year), int(month), int(day))
if date.weekday() == sunday:
print("yes! you can sleep in...")
else:
print("better set your alarm")
The program above incorporates a lot of different concepts. Read it very slowly and think about what each step is doing. Also think about how you can break this program!
⛑ Why on earth is Sunday six? Read the doc!
Coding challenge - Memento Mori calculator
Memento Mori is a bit of a grim concept and if it freaks you out, maybe adjust the exercise to calculate the days until your next birthday.
That being said, we all die and we all live in a country with a life expectancy.
The Belgian life expectancy for a man is about 80 years so if you know your birthday, which you should, you can calculate your theoretical death day.
Plus, you can calculate the percentage of your life that remains.
You should do this in a new python file.
I suggest you call it memento_mori.py or something that makes sense to you.
Spoiler warning
import datetime
life_expectancy_years = 80.8
life_expectancy_days = life_expectancy_years * 365
delta = datetime.timedelta(days=life_expectancy_days)
date = input("what is your birthday? (example: 1986 10 7) ")
year, month, day = date.split()
birthday = datetime.date(int(year), int(month), int(day))
memento_mori = birthday + delta
days_to_live = memento_mori - datetime.datetime.now().date()
percentage = (days_to_live.days / life_expectancy_days) * 100
print("your theoretical death day is:", memento_mori)
print("that's", days_to_live.days, "days left to live")
print("which means you have {:.2f}% left to live...".format(percentage))
There are quite a few quirky tricks in the code above. Take your time to ask me about them, or use online documentation and keep some notes.
Writing your first library
Up until now have coded our own functions and usage of these functions. We've seen there is no need to always write everything from scratch as we can reuse existing code by importing libraries and calling it's functions. But what are those libraries actually?
Consider the following mini script.
It imports datetime and calls the now function to print the date and time.
A pretty basic clock.
import datetime
timestamp = datetime.datetime.now()
print("It is: {}".format(timestamp))
When you put your cursor on the now part of the function call, you can press CTRL-b to go to the declaration of said function.
You can also right click on the now part and see all possible actions you can perform on this function.
This opens up a second tab in your editor window with a datetime.py file in it.
In this file your cursor should have jumped to the following code.
@classmethod
def now(cls, tz=None):
"Construct a datetime from time.time() and optional time zone info."
t = _time.time()
return cls.fromtimestamp(t, tz)
What does this look like? It looks like python code no? Well, it is! Libraries are often just other python files we load into our program. So if they are just python files we should be able to write our own libraries no?
🏃 Try it
Import some libraries and go peak at some function declarations. A big part of code writing is navigating a codebase written by other people. Properly understanding how to navigate is essential!
How do we write libraries?
Let's go back to our pretty_print function.
I have code along these lines.
def pretty_print(msg, decorator="#"):
line_len = len(msg) + (len(decorator) * 2) + 2
print(decorator * line_len)
print("{} {} {}".format(decorator, msg, decorator))
print(decorator * line_len)
pretty_print("Wouter")
pretty_print("Python rules!")
pretty_print("Alice", "-")
I'll create a new python file and name it helper_functions.py.
In this file I rewrite (don't copy paste, you need the practice) my function.
As I'm rewriting my function I'll also need some test calls to my function.
Done!
Now in a second new python file I'll name my_program.py I'll import the helper_fucntions.py file.
Note the syntax drops the .py extension!
import helper_functions
print("I'm a program")
helper_functions.pretty_print("hello world!")
If we now run the my_program.py file we get the following output.
##########
# Wouter #
##########
#################
# Python rules! #
#################
---------
- Alice -
---------
I'm a program
################
# hello world! #
################
OK, it kind of works, the function get's called from within the my_program.py file but the test calls from the helper_functions.py file are messing up my execution.
Luckily there is a way to tell python to only run certain code when a file should be seen as program and not a library.
Sounds complicated but it's logically very simple.
What is __name__ == "__main__"?
Remember on the first day when I showed you how python is self documenting via print.__doc__?
Well, there are more magical attributes than just the __doc__ one!
There is one called __name__ which is used for the exact purpose we're trying to achieve.
Go back to the helper_functions.py file and comment out the test calls and add the line that print's the __name__ variable.
def pretty_print(msg, decorator="#"):
line_len = len(msg) + (len(decorator) * 2) + 2
print(decorator * line_len)
print("{} {} {}".format(decorator, msg, decorator))
print(decorator * line_len)
print("I'm a library")
print("my name is: {}".format(__name__))
# pretty_print("Wouter")
# pretty_print("Python rules!")
# pretty_print("Alice", "-")
Do the same in the my_program.py file so it look similar to the code below.
import helper_functions
print("I'm a program")
print("my name is: {}".format(__name__))
helper_functions.pretty_print("hello world!")
If you now run the helper_functions.py file you should get output similar to this.
I'm a library
my name is: __main__
But when you run the my_program.py you should get something like this.
I'm a library
my name is: helper_functions
I'm a program
my name is: __main__
################
# hello world! #
################
This shows that the __name__ variable changes according to how a script is called and this behavior can be used to our advantage!
We can evaluate the value behind __name__ and change execution accordingly.
Evaluating and changing execution screams conditional logic no?
So in the library we add the following.
def pretty_print(msg, decorator="#"):
line_len = len(msg) + (len(decorator) * 2) + 2
print(decorator * line_len)
print("{} {} {}".format(decorator, msg, decorator))
print(decorator * line_len)
if __name__ == "__main__":
pretty_print("Wouter")
pretty_print("Python rules!")
pretty_print("Alice", "-")
Only when the library is executed as a program, for example when we're testing out out functions, the condition is met to allow execution of our calls. Problem sorted! Executing our main program now gives the expected output.
I'm a program
my name is: __main__
################
# hello world! #
################
Anatomy of a program
While it's still very early in your coding career I really want to insist on good practices from the start as it will help you make sense of it all. A well written script or program is divided into three sections.
- We collect external tools from libraries, either from the standard library or of our own making.
- We write the specific tools we need for our program to run.
- We call a combination of external and specific tools which constitutes our program logic.
A mock-up program that follows these rules could look like this. Notice how it's easy to read?
import random
import datetime
def first_function():
pass
def second_function():
pass
def third_function():
pass
def fourth_function():
pass
if __name__ == "__main__":
print("today it's: {}".format(datetime.datetime.now()))
choice = random.randint(0, 100)
if choice < 50:
first_function()
elif choice > 90:
second_function()
elif choice == 55:
third_function()
else:
fourth_function()
🏃 Try it
Go online and look for some scripts and programs that interest you. See if you can assess whether the code follows the pattern I outlined. There are a couple of things you should definitely read up on.
While loop
TODO guess the number exercise
Lists
Creating lists
Picking elements
Slicing lists
For loop
TODO say hello to my friends exercise TODO simple ROT13 cryptography with multiple libs
Coding challenge - Cheerleader chant
TODO nested for loop exercise
Handling files
Reading from a file
Writing to a file
csv, JSON and yaml
pickle
Coding challenge - Login generator
TODO write a login generator as a library with a cli as program BONUS argparse, save to file, read from file
Dictionaries as data containers
TODO adapt the login generator to output a dict
Creating our own classes
Class examples
TODO simple animal or vehicle exercise TODO task manager
Class inheritance
TODO shapes and surfaces TODO superhero game
Improve the login generator
TODO convert the login generator to a class
Infinite programs
- insist on the nature of scripts we did up until now
Logic breakdown of a simple game
TODO hangman exercise
Trivial pursuit multiple choice game
TODO db
Introduction to the requests library
Threading
TODO add a countdown timer to the multiple choice game
- how apt does it's progress bar