Vector $\vec{z}$ and its conjugate transpose $\overline{\vec{v}^\top}$ - is it the same as $\left|z\right\rangle$ and $\left\langle z \right|$ Lets say we have a complex vector $\vec{z} \!=\!(1\!+\!2i~~2\!+\!3i~~3\!+\!4i)^T$. Its scalar product $\vec{z}^T\!\! \cdot \vec{z}$ with itself will be a complex number, but if we conjugate the transposed vector we get $\overline{\vec{z}^T}\!\! \cdot \vec{z}$ (this is a inner product right?) and a positive real number as a result:
\begin{align*}
\overline{\vec{z}\,^{T}}\! \cdot \vec{z}&=\begin{pmatrix}1-2i&2-3i&3-4i\end{pmatrix} \begin{pmatrix}1+2i\\2+3i\\3+4i\end{pmatrix} =\\
&=\begin{pmatrix}(1-2i)(1+2i) + (2-3i)(2+3i) + (3-4i)(3+4i)\end{pmatrix} = \\
&= \begin{pmatrix}(1-2i+2i+4) + (4+6i-6i+9) + (9-12i+12i+16)\end{pmatrix} = \\
&= (5 + 13 + 25) = 43
\end{align*}

1st question:
I know that ket $\left|z\right\rangle$ is a vector of a Hilbert space and i know that $\vec{z}$ is the same as $\left|z\right\rangle$. But what about $\overline{\vec{z}^T}$? Is it equal to a bra $\left\langle z\right|$ ?

2nd question
Notation $\overline{\vec{z}^T}$ means we have to conjugate & transposethe a vector $\vec{z}$. Can this notation be swapped with a dagger $\dagger$ (afterall this is an operation named conjugate transpose)? 

3rd question:
From all of the above it seems logical to ask if this equality holds $\left|z\right\rangle^\dagger = \left \langle z \right|$ ?
 A: From Wiki:

For a finite-dimensional vector space, using a fixed orthonormal
  basis, the inner product can be written as a matrix multiplication of
  a row vector with a column vector:
$ \langle A | B \rangle = A_1^* B_1 + A_2^* B_2 + \cdots + A_N^* B_N = \begin{pmatrix} A_1^* & A_2^* & \cdots & A_N^* \end{pmatrix} \begin{pmatrix} B_1 \\ B_2 \\ \vdots \\ B_N \end{pmatrix}$
Based on this, the bras and kets can be defined as:
$\langle A | = \begin{pmatrix} A_1^* & A_2^* & \cdots & A_N^* \end{pmatrix}$
$ | B \rangle = \begin{pmatrix} B_1 \\ B_2 \\ \vdots \\ B_N \end{pmatrix}$
and then it is understood that a bra next to a ket implies matrix
  multiplication.
The conjugate transpose (also called ''Hermitian conjugate'') of a bra
  is the corresponding ket and vice-versa:
$\langle A |^\dagger = |A \rangle, \quad |A \rangle^\dagger = \langle A |$
because if one starts with the bra
$\begin{pmatrix} A_1^* & A_2^* & \cdots & A_N^* \end{pmatrix},$ then
  performs a complex conjugation, and then a matrix transpose,
  one ends up with the ket
$\begin{pmatrix} A_1 \\ A_2 \\ \vdots \\ A_N \end{pmatrix}$

A: In the comments Alfred raises the notion of the dual space. In fact, if you try to read Dirac's principles of QM, you will find that he starts with dual space.
In Dirac notation $|z\rangle$ is an element of an abstract vector space $\mathcal{H}$. Then, there is a notion of dual space: the dual space $\mathcal{H}^*$ is the space of all (continious) linear functionals on $\mathcal{H}$. Here the continuity(as well as the topology) is required only in infinite-dimensional space, in finite-dimensional case with reasonable topology the continuity is granted. Now, linear functional is just a linear function $v:\mathcal{H}\to\mathbb{C}$. It takes a $|z\rangle\in\mathcal{H}$ to the number $v(|z\rangle)\in\mathbb{C}$ and you have $$v(\alpha|z\rangle+\beta|x\rangle)=\alpha v(|z\rangle)+\beta v(|x\rangle).$$
Now, the Dirac notation is to write $\langle v|z \rangle$ instead of $v(|z\rangle)$. That is, $|z\rangle\in\mathcal{H}$ while $\langle v|\in\mathcal{H}^*$.
Then an assumption is made. There is a hermitian inner product on $\mathcal{H}$. That is, for any pair of vetors $|x\rangle,|y\rangle\in\mathcal{H}$ we have a number $\left(\alpha|x\rangle,\beta|y\rangle\right)=\bar{\alpha}\beta\left(|x\rangle,|y\rangle\right)$. (Caution: mathematicians usulally put the bar above $\beta$). This inner product creates an isomorphism between $\mathcal{H}$ and $\mathcal{H}^*$. That is, for any vector $|x\rangle\in\mathcal{H}$ define the functional $\langle  x|\in\mathcal{H}^*$ by its action on vectors:
$$
\langle x|z\rangle:=\left(|x\rangle,|z\rangle\right).
$$
In this formulation $\dagger$, hermitian conjugate, is defined for operators:
$$
\left(|x\rangle,A|y\rangle\right)=\left(A^\dagger|x\rangle,|y\rangle\right).
$$
For vectors it is defined usually in the matrix notation as the complex conjugate of the transpose. From the written below it is clear that it is natural to extend $\dagger$ to this formalism as $\dagger:\mathcal{H}\to\mathcal{H}^*$, $|z\rangle^\dagger=\langle z|$.
In finite-dimensional space you can pick a basis $|b_i\rangle$ and identify a vector with its coordinates: $|z\rangle=z^i|b_i\rangle$. No reason not to arrange them in a column $Z$. Then you can define a dual basis $\langle \beta^j|$ in $\mathcal{H}^*$ by
$$
\langle \beta^j | b_i\rangle=\delta^j_i\\
\beta^j(|b_i\rangle)=\delta^j_i
$$
(the last line is in 'standard' notation, to remind you that here is no scalar product involved). Then a functional can be identified with its coordinates $\langle a|=a_j\langle \beta^j|$. If we arrange them into a row $A$, then it can be checked that the number $a(|z\rangle)=\langle a|z \rangle$ is given by $AZ$. 
So, you can think about rows as of the elements of the dual space $\mathcal{H}^*$ (and identify them with bras), and columns as of the elements of the space $\mathcal{H}$ (and identify them with kets). What about conjugate transpose? If you now say that there is a hermitian inner product on your space, and $|b_i\rangle$ is an orthonormal basis, then this product for two vectors represented by columns $X$ and $Y$ is given by $X^\dagger Y$, where $\dagger$ is the usual conjugate transpose. Then it is easy to see that the mentioned isomorphism $\mathcal{H}\to\mathcal{H}^*$ is provided by $\dagger$ taking columns to rows.
(This is not mathematically rigorous, start from the fact that actually in the hermitian case it is called anti-isomorphism, etc..)
