The CauchyRiemann procedure (for older version  of Maple )doesn't work quite right in Maple 2024 .
Also ran the procedure through the AI for so-called code improvement and now it shows what the code stands for 
The output according to the original procedure would look like on the screenshot, but running original procedure does not give this output ? 
I also want to extend the procedure with a plot of the complex function. 
That differentiability of complex functions is not obvious even if the cauchy-riemann equation is satisfied ?

>  (1) >  >  CauchyRiemann:=proc(expr::algebraic) # original procedure   local x, y, u, v, u_x, u_y, v_x, v_y, flag1, flag2;   u:=evalc(Re(eval(expr, z=x+I*y)));   v:=evalc(Im(eval(expr, z=x+I*y)));   u_x:=diff(u,x);   u_y:=diff(u,y);   v_x:=diff(v,x);   v_y:=diff(v,y);   print('f(z)'=expr);   printf("\n");      print('u(x,y)'=u);   print('u[x](x,y)'=u_x);   print('u[y](x,y)'=u_y);   printf("\n");   print('v(x,y)'=v);   print('v[x](x,y)'=v_x);   print('v[y](x,y)'=v_y);   printf("\n");   if u_x=v_y then     print('u[x]=v[y]');     print(u_x=v_y);     flag1:=true;   else     print('u[x]<>v[y]');     print(u_x<>v_y);     flag1:=false;   end if;   if u_y=-v_x then     print('u[y]=-v[x]');     print(u_y=-v_x);     flag2:=true;   else     print('u[y]<>-v[x]');     print(u_y<>-v_x);     flag2:=false;   end if;    printf("\n"); if flag1=true and flag2=true then    print(`Fullfill the Cauchy-Riemann Equations`);    print(`The derivative is:`='u[x]+I*v[y]');    print('diff(f(z),z)'=u_x+I*v_y); else    print(`Cauchy-Riemann ?`); end if end proc: >  f(z):=1/(z+2): CauchyRiemann(f(z)) (2) >    Also ran the procedure through the AI for so-called code improvement and now it shows what the code stands for >  restart; # Improved and corrected version of the CauchyRiemann procedure :ASKED AI  CauchyRiemann := proc(expr::algebraic)     local x, y, u, v, u_x, u_y, v_x, v_y, CR1, CR2;     # Assign real and imaginary parts of the function     u := evalc(Re(eval(expr, z = x + I*y)));     v := evalc(Im(eval(expr, z = x + I*y)));     # Calculate partial derivatives     u_x := diff(u, x);     u_y := diff(u, y);     v_x := diff(v, x);     v_y := diff(v, y);     # Properly format and print function details     printf("f(z) = %a\n", expr);     printf("u(x, y) = %a, u_x = %a, u_y = %a\n", u, u_x, u_y);     printf("v(x, y) = %a, v_x = %a, v_y = %a\n", v, v_x, v_y);     # Evaluate and print Cauchy-Riemann equations     CR1 := u_x = v_y;     CR2 := u_y = -v_x;     printf("\nCauchy-Riemann Equations:\n");     printf("u_x = v_y: %a\n", CR1);     printf("u_y = -v_x: %a\n", CR2);     # Check both equations     if CR1 and CR2 then         printf("The function is analytic (holomorphic) at this point.\n");         printf("The derivative f'(z) is %a + I*%a\n", u_x, v_y);     else         printf("The function does not satisfy the Cauchy-Riemann equations and is not analytic.\n");     end if; end proc; # Test the procedure with a specific function f := z -> 1/(z + 2); CauchyRiemann(f(z)); f(z) = 1/(z+2) u(x, y) = (x+2)/(y^2+(x+2)^2), u_x = 1/(y^2+(x+2)^2)-(x+2)/(y^2+(x+2)^2)^2*(2*x+4), u_y = -2*(x+2)/(y^2+(x+2)^2)^2*y v(x, y) = -y/(y^2+(x+2)^2), v_x = y/(y^2+(x+2)^2)^2*(2*x+4), v_y = -1/(y^2+(x+2)^2)+2*y^2/(y^2+(x+2)^2)^2 Cauchy-Riemann Equations: u_x = v_y: 1/(y^2+(x+2)^2)-(x+2)/(y^2+(x+2)^2)^2*(2*x+4) = -1/(y^2+(x+2)^2)+2*y^2/(y^2+(x+2)^2)^2 u_y = -v_x: -2*(x+2)/(y^2+(x+2)^2)^2*y = -y/(y^2+(x+2)^2)^2*(2*x+4) The function does not satisfy the Cauchy-Riemann equations and is not analytic.

Download CAUCHY_RIEMANN_-FORUM_VRAAG.mw

I just discoverd today the step solutions for series in Student package 

Now i try to solve this with my own steps here ..

Note: was not capable to get a closed form?

Download Het_Basel_Probleem_van_Euler.mw

Download dv_systeem_via_mapleprimes_.mw

Well , honestly I can't make sense of how to do this.

Interactive can be done step by step , but now generalize via a procedure , but can't get a handle on it
How to get the right procedure ?

Download DV_plotten-_procedure.mw

I have here a function  
                           "sin(x)/x"

and suppose sin(x)/x = 0 
Can I now use MapleAI to retrieve the correct command for this in Maple..could I?

The intersection points with the x-axis are positive and negative multiples of Pi
I have put these in an ordered list, but Maple gives this:
For x domain = -20...20 
X := {x = Pi}, {x = 2*Pi}, {x = 3*Pi}, {x = 4*Pi}, {x = 5*Pi}, {x = 6*Pi}, {x = -6*Pi}, {x = -5*Pi}, {x = -4*Pi}, {x = -3*Pi}, {x = -2*Pi}, {x = -Pi};

 
X := sort(eval~(x, [X]));
 X := [, -6 Pi, -5 Pi, -4 Pi, -3 Pi, -2 Pi, -Pi, 2 Pi, 3 Pi, 4 Pi, 5 Pi, 6 Pi]


A strange ranking that Maple comes up with ? 

with(NaturalLanguage);
        [Explain, GetCommand, GetMath, Query, RawQuery]



GetCommand("give for Maple solve command all options?");
            "solve(equations, variables, options);"

Explain("give for Maple solve command all options?");

"Maple is a symbolic and numeric computing environment. Its 

   "solve" command is used to find solutions (roots) of a given 

   equation or a system of equations.
  

  There are a number of options (or "parameters") which can be 

   specified in this command to alter its behavior:

  

  1. `Allsolutions`: This option makes Maple to generate all 

   possible solutions of an equation.

  

  2. `Real`: This option only provides the real solutions. If 

   equations do not have real solutions, it will return an 

   empty set.

  

  3. `Positive`: It only includes positive solutions in the 

   output.

  

  4. `explicit`: If specified, Maple attempts to isolate roots 

   and provide an explicit solution for each variable.

  

  5. `assume = real`: This option restrict the solutions to 

   only real numbers.

  

  6. `parametric`: This option allows Maple to write the 

   solutions in a parametric form. 

  

  7. `avoid ={x = a}`: This option makes solve exclude the 

   possibility `x = a` as a solution.

  

  8. `MaxDegree = d`: This option allows you to limit the 

   degree of the polynomial equations to be considered.

  

  9. `maxdepth = d`: This sets a limit on recursive depth to 

   which the computation should go to seek a solution.

  

  10. `multiplicities`: This option reports multiplicity of the 

   roots.

  

  11. `solutions = vars`: This option tells Maple to look for 

   solutions for specific variables.

  

  12. `numeric`: This option makes solve find a numeric 

   solution to the equation.

  

  13. `symbolic`: This option makes solve find a symbolic 

   solution to the equation.

  

  14. `simplify`: This option simplifies the solutions returned 

   by solve.

  

  15. `sqrt`: This option allows square roots in the output.

  

  It is important to note that not all options are suited for 

   use with all types of equations. Also, the "solve" command 

   in Maple can be occasionally limited by the complexity of 

   the equation, and may sometimes fail to find solutions that 

   more specialized software or methods can find."