diff --git a/q01_get_total_deliveries_players/build.py b/q01_get_total_deliveries_players/build.py
index 2bc0f30..5a2eec1 100644
--- a/q01_get_total_deliveries_players/build.py
+++ b/q01_get_total_deliveries_players/build.py
@@ -1,7 +1,17 @@
+# %load q01_get_total_deliveries_players/build.py
 # Default imports
 import numpy as np
+ipl_matches_array = np.genfromtxt('data/ipl_matches_small.csv', dtype='|S50', skip_header=1, delimiter=',')
+def get_wicket_delivery_numbers_array(player):
+    wick_deliveries = []
+    rows = ipl_matches_array.shape[0]
+    
+    for i in range(0,rows):
+        if ipl_matches_array[i][20] == player:
+            wick_deliveries.append(ipl_matches_array[i][11])
+    return np.array(wick_deliveries)
+
+
 
-ipl_matches_array =np.genfromtxt("data/ipl_matches_small.csv", dtype="|S50", skip_header=1, delimiter=",")
 
-# Your Solution
 
diff --git a/q02_get_wicket_delivery_numbers_array/build.py b/q02_get_wicket_delivery_numbers_array/build.py
index 47401a5..424dccf 100644
--- a/q02_get_wicket_delivery_numbers_array/build.py
+++ b/q02_get_wicket_delivery_numbers_array/build.py
@@ -1,7 +1,27 @@
+# %load q02_get_wicket_delivery_numbers_array/build.py
 #Default Imports
 import numpy as np
 
-ipl_matches_array =np.genfromtxt("data/ipl_matches_small.csv", dtype="|S50", skip_header=1, delimiter=",")
+ipl_matches_array =np.genfromtxt('data/ipl_matches_small.csv', dtype='|S50', skip_header=1, delimiter=',')
 
 #Your Solution
 
+def get_wicket_delivery_numbers_array(player):
+    w = []
+    
+    rows = ipl_matches_array.shape[0]
+    
+    for i in range(0,rows):
+        if ipl_matches_array[i][20] == player:
+            w.append(ipl_matches_array[i][11])
+    
+    return np.array(w)
+
+
+
+
+
+
+
+
+
diff --git a/q03_get_toss_win_count/build.py b/q03_get_toss_win_count/build.py
index d0f09a9..6e14f5b 100644
--- a/q03_get_toss_win_count/build.py
+++ b/q03_get_toss_win_count/build.py
@@ -1,7 +1,33 @@
+# %load q03_get_toss_win_count/build.py
 #Default Imports
 import numpy as np
-ipl_matches_array =np.genfromtxt("data/ipl_matches_small.csv", dtype="|S50", skip_header=1, delimiter=",")
+ipl_matches_array =np.genfromtxt('data/ipl_matches_small.csv', dtype='|S50', skip_header=1, delimiter=',')
 
 
 #Your Solution
 
+def get_toss_win_count(team):
+    match_codes = []
+    counter = 0
+    rows = ipl_matches_array.shape[0]
+    for i in range(0,rows):
+        if ipl_matches_array[i][3] == team or ipl_matches_array[i][4] == team:
+            
+            match_code = ipl_matches_array[i][0]
+            if match_code not in match_codes:
+                match_codes.append(match_code)
+                if ipl_matches_array[i][5] == team:
+                    counter = counter + 1
+    return counter
+get_toss_win_count(b'Mumbai Indians')
+        
+
+
+
+
+
+
+
+
+
+
diff --git a/q04_get_all_sixes_filter/build.py b/q04_get_all_sixes_filter/build.py
index d0f09a9..8bcbff6 100644
--- a/q04_get_all_sixes_filter/build.py
+++ b/q04_get_all_sixes_filter/build.py
@@ -1,7 +1,22 @@
+# %load q04_get_all_sixes_filter/build.py
 #Default Imports
 import numpy as np
-ipl_matches_array =np.genfromtxt("data/ipl_matches_small.csv", dtype="|S50", skip_header=1, delimiter=",")
+ipl_matches_array =np.genfromtxt('data/ipl_matches_small.csv', dtype='|S50', skip_header=1, delimiter=',')
 
 
 #Your Solution
+def get_all_sixes_filter():
+    w=[]   
+    rows=ipl_matches_array.shape[0]
+    for i in range(0,rows):
+        if int(ipl_matches_array[i][16]) == 6:
+            w.append(True)
+        else:
+            w.append(False)
+    return np.array(w)
+
+
+
+
+
 
diff --git a/q05_create_delivery_series/build.py b/q05_create_delivery_series/build.py
index fcc1b8a..8ca0d50 100644
--- a/q05_create_delivery_series/build.py
+++ b/q05_create_delivery_series/build.py
@@ -1,7 +1,17 @@
+# %load q05_create_delivery_series/build.py
 #Default Imports
 import pandas as pd
 import numpy as np
-ipl_matches_array =np.genfromtxt("data/ipl_matches_small.csv", dtype="|S50", skip_header=1, delimiter=",")
+ipl_matches_array =np.genfromtxt('data/ipl_matches_small.csv', dtype='|S50', skip_header=1, delimiter=',')
+#ipl=pd.read_csv('data/ipl_matches_small.csv')
+df = pd.read_csv('data/ipl_matches_small.csv')
+def create_delivery_series():
+    my_array = ipl_matches_array[:, 11]
+    
+    return pd.Series(my_array)
+
+create_delivery_series()
+
+
 
-#Your Solution