diff --git a/q01_zeros_array/build.py b/q01_zeros_array/build.py
index 5501f7a..05d44d9 100644
--- a/q01_zeros_array/build.py
+++ b/q01_zeros_array/build.py
@@ -1,3 +1,4 @@
+# %load q01_zeros_array/build.py
 # Default Imports
 import sys, os
 sys.path.append(os.path.join(os.path.dirname(os.curdir),  '..'  ))
@@ -5,4 +6,12 @@
 
 # Your solution
 
+def array_zeros():
+    zeros_array = np.zeros((3,4,2))
+    
+    return zeros_array
+    
+
+
+
 
diff --git a/q02_zeros_reshaped/build.py b/q02_zeros_reshaped/build.py
index ed629c7..f93b40f 100644
--- a/q02_zeros_reshaped/build.py
+++ b/q02_zeros_reshaped/build.py
@@ -1,5 +1,13 @@
+# %load q02_zeros_reshaped/build.py
 # Default imports
 import numpy as np
-from greyatomlib.python_intermediate.q01_zeros_array.build import  array_zeros
+from greyatomlib.python_intermediate.q01_zeros_array.build import array_zeros
 
 # Write your code
+def array_reshaped_zeros():
+        zeros_array_reshaped = array_zeros().reshape(2,3,4)
+        
+        return zeros_array_reshaped
+
+
+
diff --git a/q03_create_3d_array/build.py b/q03_create_3d_array/build.py
index 7bb6e2f..04f1dbc 100644
--- a/q03_create_3d_array/build.py
+++ b/q03_create_3d_array/build.py
@@ -1,4 +1,15 @@
+# %load q03_create_3d_array/build.py
 # Default Imports
 import numpy as np
 
-# Enter solution here
\ No newline at end of file
+# Enter solution here
+
+def create_3d_array():
+    N = np.arange(27)
+    np.array(N)
+    N = N.reshape(3,3,3)
+    return N
+
+
+
+
diff --git a/q04_read_csv_data_to_ndarray/build.py b/q04_read_csv_data_to_ndarray/build.py
index fb71e6e..372b05e 100644
--- a/q04_read_csv_data_to_ndarray/build.py
+++ b/q04_read_csv_data_to_ndarray/build.py
@@ -1,5 +1,15 @@
+# %load q04_read_csv_data_to_ndarray/build.py
 # Default Imports
 import numpy as np
-path = "./data/ipl_matches_small.csv"
+path = '../data/ipl_matches_small.csv'
+
+def read_csv_data_to_ndarray(path,dtype = np.float64):
+    load = np.genfromtxt(path,dtype =dtype, skip_header=1, delimiter=',')
+    #load = np.array(load)
+    return load
+    
+# Enter code here
+#type(read_csv_data_to_ndarray('./data/ipl_matches_small.csv'))
+
+
 
-# Enter code here
\ No newline at end of file
diff --git a/q05_read_csv_data/build.py b/q05_read_csv_data/build.py
index 5c70e6e..984dae5 100644
--- a/q05_read_csv_data/build.py
+++ b/q05_read_csv_data/build.py
@@ -1,4 +1,14 @@
+# %load q05_read_csv_data/build.py
 # Default imports
 import numpy as np
+path = './data/ipl_matches_small.csv'
+
+# Enter code here
+def read_ipl_data_csv(path,dtype =np.float64):
+    ipl_matches_array = np.genfromtxt(path,dtype ='S50',skip_header = 1 , delimiter=',')
+    return ipl_matches_array
+    
+
+#type(read_ipl_data_csv(path))
+
 
-# Enter code here
\ No newline at end of file
diff --git a/q06_get_unique_matches_count/build.py b/q06_get_unique_matches_count/build.py
index 014497e..cf8e010 100644
--- a/q06_get_unique_matches_count/build.py
+++ b/q06_get_unique_matches_count/build.py
@@ -1,5 +1,15 @@
+# %load q06_get_unique_matches_count/build.py
 # Default imports
 from greyatomlib.python_intermediate.q05_read_csv_data.build import read_ipl_data_csv
 path = 'data/ipl_matches_small.csv'
-
+import numpy as np
 # Enter Code Here
+def get_unique_matches_count():
+    ipl_matches_array = len(np.unique(read_ipl_data_csv('data/ipl_matches_small.csv','S50')[:,0]))
+    return ipl_matches_array
+    
+    
+
+#get_unique_matches_count()
+
+
diff --git a/q07_get_unique_teams_set/build.py b/q07_get_unique_teams_set/build.py
index 17fefd2..2ebca85 100644
--- a/q07_get_unique_teams_set/build.py
+++ b/q07_get_unique_teams_set/build.py
@@ -1,5 +1,17 @@
+# %load q07_get_unique_teams_set/build.py
 # Default imports
 from greyatomlib.python_intermediate.q05_read_csv_data.build import read_ipl_data_csv
-path = "data/ipl_matches_small.csv"
-
+path = 'data/ipl_matches_small.csv'
+import numpy as np
 # Enter Code Here
+def get_unique_teams_set():
+    team1 = np.unique(read_ipl_data_csv('data/ipl_matches_small.csv','S50')[:,3])
+    team2 = np.unique(read_ipl_data_csv('data/ipl_matches_small.csv','S50')[:,4])
+    all_teams = set(np.unique(np.concatenate((team1,team2),axis=0)))
+    
+    return all_teams
+    
+
+#get_unique_teams_set()
+
+
diff --git a/q08_get_total_extras/build.py b/q08_get_total_extras/build.py
index 95890c1..eb7a394 100644
--- a/q08_get_total_extras/build.py
+++ b/q08_get_total_extras/build.py
@@ -1,7 +1,16 @@
+# %load q08_get_total_extras/build.py
 # Default Imports
 from greyatomlib.python_intermediate.q05_read_csv_data.build import read_ipl_data_csv
 import numpy as np
 
 path = 'data/ipl_matches_small.csv'
 
-# Enter Code Here
\ No newline at end of file
+# Enter Code Here
+def get_total_extras() :
+    file1 = np.sum(np.genfromtxt(path,skip_header = 1 , delimiter=',')[:,-6],axis=0)
+    return file1
+    
+
+
+
+