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Learn Python from Scratch
course content

Conteúdo do Curso

Learn Python from Scratch

Learn Python from Scratch

1. The basics
Hello, World!Hello, me!VariablesCommentsIndentationNumbers and strings
2. Arithmetic operations
AdditionMultiplication and powerDivision and whole part division
3. Common data types
Data typesNumbersfloat and intStoring textStrings slicingConcatenation
4. Conditional statements
Boolean data typeCombining conditionsSimple if/else expressions (1/2)Simple if/else expressions (2/2)If/else expressions with multiple conditions (1/2)If/else expressions with multiple conditions (2/2)
5. Other data types
Lists (1/3)Lists (2/3)Lists (3/3)Tuples (1/3)Tuples (2/3)Tuples (3/3)Dictionaries (1/2)Dictionaries (2/2)
6. Loops
while loop (1/2)while loop (2/2)for loop (1/5)for loop (2/5)for loop (3/5)for loop (4/5)for loop (5/5)
7. Functions
Built-in functionsWriting your own functions (1/5)Writing your own functions (2/5)Writing your own functions (3/5)Writing your own functions (4/5)Writing your own functions (5/5)lambda functions

bookLists (3/3)

As we mentioned before, you can store different data types inside a list. It means you can store lists inside lists - it means you can create multidimensional arrays. Let's experiment with two-dimensional arrays.

Remember our example with countries and areas? In that list each characteristic (name and area) is equivalent in terms of location - I think you agree that it would be much better if we could get both characteristics by only one index.

To create a two-dimensional list just put a list inside another. If you will write list[1] you will get the second element which is a list. At the same time if you write both indexes list[1][1] - you will get the second element of the second list in the list. For example, let's modify our previous example:


              
12

            
# create two-dimensional list
countries_mod = [['USA', 9629091], ['Canada', 9984670], ['Germany', 357114], ['Brazil', 8515767], ['India', 3166391]]
copy

Now we can easily get both countries' names and areas by only one index. For example, let's extract information for Brazil and get Germany's area.


              
12345678

            
# create two-dimensional list
countries_mod = [['USA', 9629091], ['Canada', 9984670], ['Germany', 357114], ['Brazil', 8515767], ['India', 3166391]]

# list about Brazil
print(countries_mod[3])

# area of Germany
print(countries_mod[2][1])
copy

Tarefa

  1. Recreate list (name as people) with people names and ages into two-dimensional.
  2. Print the information for second person
  3. Print age of fifth person.
NameAge
Alex23
Noah34
Peter29
John41
Michelle35

Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
Tudo estava claro?

Como podemos melhorá-lo?

Obrigado pelo seu feedback!

Seção 5. Capítulo 3
toggle bottom row

bookLists (3/3)

As we mentioned before, you can store different data types inside a list. It means you can store lists inside lists - it means you can create multidimensional arrays. Let's experiment with two-dimensional arrays.

Remember our example with countries and areas? In that list each characteristic (name and area) is equivalent in terms of location - I think you agree that it would be much better if we could get both characteristics by only one index.

To create a two-dimensional list just put a list inside another. If you will write list[1] you will get the second element which is a list. At the same time if you write both indexes list[1][1] - you will get the second element of the second list in the list. For example, let's modify our previous example:


              
12

            
# create two-dimensional list
countries_mod = [['USA', 9629091], ['Canada', 9984670], ['Germany', 357114], ['Brazil', 8515767], ['India', 3166391]]
copy

Now we can easily get both countries' names and areas by only one index. For example, let's extract information for Brazil and get Germany's area.


              
12345678

            
# create two-dimensional list
countries_mod = [['USA', 9629091], ['Canada', 9984670], ['Germany', 357114], ['Brazil', 8515767], ['India', 3166391]]

# list about Brazil
print(countries_mod[3])

# area of Germany
print(countries_mod[2][1])
copy

Tarefa

  1. Recreate list (name as people) with people names and ages into two-dimensional.
  2. Print the information for second person
  3. Print age of fifth person.
NameAge
Alex23
Noah34
Peter29
John41
Michelle35

Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
Tudo estava claro?

Como podemos melhorá-lo?

Obrigado pelo seu feedback!

Seção 5. Capítulo 3
toggle bottom row

bookLists (3/3)

As we mentioned before, you can store different data types inside a list. It means you can store lists inside lists - it means you can create multidimensional arrays. Let's experiment with two-dimensional arrays.

Remember our example with countries and areas? In that list each characteristic (name and area) is equivalent in terms of location - I think you agree that it would be much better if we could get both characteristics by only one index.

To create a two-dimensional list just put a list inside another. If you will write list[1] you will get the second element which is a list. At the same time if you write both indexes list[1][1] - you will get the second element of the second list in the list. For example, let's modify our previous example:


              
12

            
# create two-dimensional list
countries_mod = [['USA', 9629091], ['Canada', 9984670], ['Germany', 357114], ['Brazil', 8515767], ['India', 3166391]]
copy

Now we can easily get both countries' names and areas by only one index. For example, let's extract information for Brazil and get Germany's area.


              
12345678

            
# create two-dimensional list
countries_mod = [['USA', 9629091], ['Canada', 9984670], ['Germany', 357114], ['Brazil', 8515767], ['India', 3166391]]

# list about Brazil
print(countries_mod[3])

# area of Germany
print(countries_mod[2][1])
copy

Tarefa

  1. Recreate list (name as people) with people names and ages into two-dimensional.
  2. Print the information for second person
  3. Print age of fifth person.
NameAge
Alex23
Noah34
Peter29
John41
Michelle35

Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
Tudo estava claro?

Como podemos melhorá-lo?

Obrigado pelo seu feedback!

As we mentioned before, you can store different data types inside a list. It means you can store lists inside lists - it means you can create multidimensional arrays. Let's experiment with two-dimensional arrays.

Remember our example with countries and areas? In that list each characteristic (name and area) is equivalent in terms of location - I think you agree that it would be much better if we could get both characteristics by only one index.

To create a two-dimensional list just put a list inside another. If you will write list[1] you will get the second element which is a list. At the same time if you write both indexes list[1][1] - you will get the second element of the second list in the list. For example, let's modify our previous example:


              
12

            
# create two-dimensional list
countries_mod = [['USA', 9629091], ['Canada', 9984670], ['Germany', 357114], ['Brazil', 8515767], ['India', 3166391]]
copy

Now we can easily get both countries' names and areas by only one index. For example, let's extract information for Brazil and get Germany's area.


              
12345678

            
# create two-dimensional list
countries_mod = [['USA', 9629091], ['Canada', 9984670], ['Germany', 357114], ['Brazil', 8515767], ['India', 3166391]]

# list about Brazil
print(countries_mod[3])

# area of Germany
print(countries_mod[2][1])
copy

Tarefa

  1. Recreate list (name as people) with people names and ages into two-dimensional.
  2. Print the information for second person
  3. Print age of fifth person.
NameAge
Alex23
Noah34
Peter29
John41
Michelle35

Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
Seção 5. Capítulo 3
Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
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