diff --git a/build/Makefile b/build/Makefile
index 78f3ec6..a62aaeb 100644
--- a/build/Makefile
+++ b/build/Makefile
@@ -5,7 +5,7 @@ CXX := g++
 CXXFLAGS := -Wall -Werror -fpic
 
 # Source files
-SRCS := ../src/tensor.cpp
+SRCS := ../csrc/tensor.cpp
 
 # Object files
 OBJS := $(SRCS:.cpp=.o)
diff --git a/build/libtensor.so b/build/libtensor.so
index 1711f4e..dd8d235 100755
Binary files a/build/libtensor.so and b/build/libtensor.so differ
diff --git a/csrc/tensor.cpp b/csrc/tensor.cpp
new file mode 100644
index 0000000..4b734ac
--- /dev/null
+++ b/csrc/tensor.cpp
@@ -0,0 +1,138 @@
+#include <stdio.h>
+#include <stdlib.h>
+#include "tensor.h"
+
+extern "C" {
+
+    Tensor* create_tensor(float* data, int* shape, int ndim) {
+        Tensor* tensor = (Tensor*)malloc(sizeof(Tensor));
+        if (tensor == NULL) {
+            fprintf(stderr, "Memory allocation failed\n");
+            exit(1);
+        }
+        tensor->data = data;
+        tensor->shape = shape;
+        tensor->ndim = ndim;
+        tensor->size = 1;
+
+        for (int i = 0; i < ndim; i++) {
+            tensor->size *= shape[i];
+        }
+
+        tensor->strides = (int*)malloc(ndim * sizeof(int));
+        if (tensor->strides == NULL) {
+            fprintf(stderr, "Memory allocation failed\n");
+            exit(1);
+        }
+        int stride = 1;
+        for (int i = ndim - 1; i >= 0; i--) {
+            tensor->strides[i] = stride;
+            stride *= shape[i];
+        }
+
+        printf("Tensor created successfully\n");
+        printf("Tensor information:\n");
+        printf("Number of dimensions: %d\n", tensor->ndim);
+        printf("Number size: %d\n", tensor->size);
+        printf("Shape: [");
+        for (int i = 0; i < ndim; i++) {
+            printf("%d", tensor->shape[i]);
+            if (i < ndim - 1) {
+                printf(", ");
+            }
+        }
+        printf("]\n");
+
+        printf("Data:\n[");
+        for (int i = 0; i < stride; i++) {
+            printf("%.2f", tensor->data[i]);
+            if (i < stride - 1) {
+                printf(", ");
+            }
+        }
+        printf("]\n\n\n");
+
+        
+        return tensor;
+    }
+
+    float get_item(Tensor* tensor, int* indices) {
+        int index = 0;
+        for (int i = 0; i < tensor->ndim; i++) {
+            index += indices[i] * tensor->strides[i];
+        }
+        return tensor->data[index];
+    }
+
+    Tensor* add_tensor(Tensor* tensor1, Tensor* tensor2) {
+        if (tensor1->ndim != tensor2->ndim) {
+            fprintf(stderr, "Tensors must have the same number of dimensions %d and %d for addition\n", tensor1->ndim, tensor2->ndim);
+            exit(1);
+        }
+
+        int ndim = tensor1->ndim;
+        int* shape = (int*)malloc(ndim * sizeof(int));
+        if (shape == NULL) {
+            fprintf(stderr, "Memory allocation failed\n");
+            exit(1);
+        }
+
+        printf("Size: %d\n", tensor1->size);
+        printf("Data: [");
+        for (int i = 0; i < tensor1->size; i++) {
+            printf("%.2f", tensor1->data[i]);
+            if (i < tensor1->size - 1) {
+                printf(", ");
+            }
+        }
+        printf("]\n");
+
+        printf("Size: %d\n", tensor2->size);
+        printf("Data: [");
+        for (int i = 0; i < tensor2->size; i++) {
+            printf("%.2f", tensor2->data[i]);
+            if (i < tensor2->size - 1) {
+                printf(", ");
+            }
+        }
+        printf("]\n");
+
+        printf("Shapes : [");
+        for (int i = 0; i < tensor1->ndim; i++) {
+            printf("%d", tensor1->shape[i]);
+            if (i < tensor1->ndim - 1) {
+                printf(", ");
+            }
+        }
+        printf("]\n");
+
+        printf("Shapes : [");
+        for (int i = 0; i < tensor2->ndim; i++) {
+            printf("%d", tensor2->shape[i]);
+            if (i < tensor2->ndim - 1) {
+                printf(", ");
+            }
+        }
+        printf("]\n");
+
+        for (int i = 0; i < ndim; i++) {
+            if (tensor1->shape[i] != tensor2->shape[i]) {
+                fprintf(stderr, "Tensors must have the same shape %d and %d at index %d for addition\n", tensor1->shape[i], tensor2->shape[i], i);
+                exit(1);
+            }
+            shape[i] = tensor1->shape[i];
+        }
+
+        float* result_data = (float*)malloc(tensor1->size * sizeof(float));
+        if (result_data == NULL) {
+            fprintf(stderr, "Memory allocation failed\n");
+            exit(1);
+        }
+
+        for (int i = 0; i < tensor1->size; i++) {
+            result_data[i] = tensor1->data[i] + tensor2->data[i];
+        }
+
+        return create_tensor(result_data, shape, ndim);
+    }
+}
diff --git a/csrc/tensor.h b/csrc/tensor.h
new file mode 100644
index 0000000..0ce9d86
--- /dev/null
+++ b/csrc/tensor.h
@@ -0,0 +1,19 @@
+#ifndef TENSOR_H
+#define TENSOR_H
+
+typedef struct {
+    float *data;
+    int* strides;
+    int* shape;
+    int ndim;
+    int size;
+} Tensor;
+
+extern "C" {
+    Tensor* create_tensor(float* data, int* shape, int ndim);
+    float get_item(Tensor* tensor, int* indices);
+    Tensor* create_tensor(float* data, int* shape, int ndim);
+    Tensor* add_tensor(Tensor* tensor1, Tensor* tensor2);
+}
+
+#endif /* TENSOR_H */
diff --git a/csrc/tensor.o b/csrc/tensor.o
new file mode 100644
index 0000000..0e5799c
Binary files /dev/null and b/csrc/tensor.o differ
diff --git a/norch/__pycache__/tensor.cpython-38.pyc b/norch/__pycache__/tensor.cpython-38.pyc
new file mode 100644
index 0000000..8523f4f
Binary files /dev/null and b/norch/__pycache__/tensor.cpython-38.pyc differ
diff --git a/norch/__pycache__/tensor.cpython-39.pyc b/norch/__pycache__/tensor.cpython-39.pyc
new file mode 100644
index 0000000..16c0798
Binary files /dev/null and b/norch/__pycache__/tensor.cpython-39.pyc differ
diff --git a/norch/tensor.py b/norch/tensor.py
new file mode 100644
index 0000000..b319598
--- /dev/null
+++ b/norch/tensor.py
@@ -0,0 +1,89 @@
+import ctypes
+
+class CTensor(ctypes.Structure):
+    _fields_ = [
+        ('data', ctypes.POINTER(ctypes.c_float)),
+        ('strides', ctypes.POINTER(ctypes.c_int)),
+        ('shape', ctypes.POINTER(ctypes.c_int)),
+        ('ndim', ctypes.c_int),
+        ('size', ctypes.c_int),
+    ]
+
+class Tensor:
+    _C = ctypes.CDLL("../build/libtensor.so")
+
+    def __init__(self, data):
+        data, shape = self.flatten(data)
+          # Adjust the path to the shared library
+        self.data = (ctypes.c_float * len(data))(*data)
+        self.shape = shape
+        self.ndim = len(shape)
+
+        Tensor._C.create_tensor.argtypes = [ctypes.POINTER(ctypes.c_float), ctypes.POINTER(ctypes.c_int), ctypes.c_int]
+        Tensor._C.create_tensor.restype = ctypes.POINTER(CTensor)
+
+        self.tensor = Tensor._C.create_tensor(
+            self.data,
+            (ctypes.c_int * len(shape))(*shape),
+            ctypes.c_int(len(shape))
+        )
+
+    def flatten(self, nested_list):
+        flat_data = []
+        shape = [len(nested_list), len(nested_list[0])]
+        for sublist in nested_list:
+            for item in sublist:
+                flat_data.append(item)
+        return flat_data, shape
+    
+    def __getitem__(self, indices):
+        if len(indices) != self.ndim:
+            raise ValueError("Number of indices must match the number of dimensions")
+        
+        Tensor._C.get_item.argtypes = [ctypes.POINTER(CTensor), ctypes.POINTER(ctypes.c_int)]
+        Tensor._C.get_item.restype = ctypes.c_float
+                                           
+        indices = (ctypes.c_int * len(indices))(*indices)
+        value = Tensor._C.get_item(self.tensor, indices)  
+
+        return value 
+
+    def __str__(self):
+        result = ""
+        for i in range(self.shape[0]):
+            for j in range(self.shape[1]):
+                result += str(self[i, j]) + " "
+            result += "\n"
+        return result.strip()
+
+    def __repr__(self):
+        return self.__str__()
+    
+    def __add__(self, other):
+        if self.shape != other.shape:
+            raise ValueError("Tensors must have the same shape for addition")
+        
+        Tensor._C.add_tensor.argtypes = [ctypes.POINTER(CTensor), ctypes.POINTER(CTensor)]
+        Tensor._C.add_tensor.restype = ctypes.POINTER(CTensor)
+
+        result_tensor_ptr = Tensor._C.add_tensor(self.tensor, other.tensor)
+
+        result_data = [result_tensor_ptr.contents.data[i] for i in range(self.shape[0] * self.shape[1])]
+        result_shape = [result_tensor_ptr.contents.shape[i] for i in range(result_tensor_ptr.contents.ndim)]
+
+        return Tensor(result_data, result_shape)
+
+
+if __name__ == "__main__":
+    from tensor import Tensor
+    import time
+
+    ini = time.time()
+    a = Tensor([[1, 2, 3], [1, 2, 3]])
+    b = Tensor([[1, 2, 3], [1, 2, 3]])
+
+
+    c = a + b
+    fim = time.time()
+
+    print(fim-ini)
\ No newline at end of file
diff --git a/norch/tests.ipynb b/norch/tests.ipynb
new file mode 100644
index 0000000..ca51d7d
--- /dev/null
+++ b/norch/tests.ipynb
@@ -0,0 +1,98 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[0, 1, 2, 0, 2, 2] [2, 3, 3]\n",
+      "Tensor shape: [2, 3, 3]\n",
+      "Tensor created successfully\n",
+      "Tensor information:\n",
+      "Number of dimensions: 3\n",
+      "Shape: [2, 3, 3]\n",
+      "Data:\n",
+      "[0.00, 1.00, 2.00, 0.00, 2.00, 2.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00, 0.00]\n"
+     ]
+    }
+   ],
+   "source": [
+    "from tensor import Tensor\n",
+    "\n",
+    "data = [[0, 1, 2], [0, 2, 2], [0, 1, 2]]\n",
+    "tensor = Tensor(data)\n",
+    "print(\"Tensor shape:\", tensor.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Tensor created successfully\n",
+      "Tensor information:\n",
+      "Number of dimensions: 2\n",
+      "Shape: [3, 3]\n",
+      "Data:\n",
+      "[0.10, 0.20, 0.30, 0.40, 0.50, 0.60, 0.70, 0.80, 0.90]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "0.10000000149011612 0.20000000298023224 0.30000001192092896 \n",
+       "0.4000000059604645 0.5 0.6000000238418579 \n",
+       "0.699999988079071 0.800000011920929 0.8999999761581421"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "\n",
+    "data = [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]\n",
+    "shape = [3, 3]\n",
+    "tensor = Tensor(data, shape)\n",
+    "tensor\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/test.sh b/test.sh
new file mode 100755
index 0000000..f8353cf
--- /dev/null
+++ b/test.sh
@@ -0,0 +1,5 @@
+cd build
+make
+cd ..
+cd norch
+python3 tensor.py
\ No newline at end of file