diff --git a/q01_get_total_deliveries_players/build.py b/q01_get_total_deliveries_players/build.py
index 2bc0f30..12a3280 100644
--- a/q01_get_total_deliveries_players/build.py
+++ b/q01_get_total_deliveries_players/build.py
@@ -1,7 +1,13 @@
+# %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=",")
+ipl_matches_array =np.genfromtxt('data/ipl_matches_small.csv', dtype='|S50', skip_header=1, delimiter=',')
 
 # Your Solution
+def get_total_deliveries_played(batsman):
+    deliveries = len(ipl_matches_array[ipl_matches_array[:,13] == batsman])
+    return deliveries
+
+
 
diff --git a/q02_get_wicket_delivery_numbers_array/build.py b/q02_get_wicket_delivery_numbers_array/build.py
index 47401a5..4b673e0 100644
--- a/q02_get_wicket_delivery_numbers_array/build.py
+++ b/q02_get_wicket_delivery_numbers_array/build.py
@@ -1,7 +1,15 @@
+# %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):
+    out_deliveries = ipl_matches_array[:,11][ipl_matches_array[:,-3] == player]
+    return out_deliveries
+x = get_wicket_delivery_numbers_array('Sachin Tendulkar')
+print(x)
+
+
diff --git a/q03_get_toss_win_count/build.py b/q03_get_toss_win_count/build.py
index d0f09a9..495b248 100644
--- a/q03_get_toss_win_count/build.py
+++ b/q03_get_toss_win_count/build.py
@@ -1,7 +1,14 @@
+# %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):
+    tw = np.unique(ipl_matches_array[:,0][ipl_matches_array[:,5]==team]) 
+    return len(tw)
+
+
+
 
diff --git a/q04_get_all_sixes_filter/build.py b/q04_get_all_sixes_filter/build.py
index d0f09a9..e0f8496 100644
--- a/q04_get_all_sixes_filter/build.py
+++ b/q04_get_all_sixes_filter/build.py
@@ -1,7 +1,14 @@
+# %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():
+    
+    sixes = ipl_matches_array[:,16].astype(int) == 6
+    return sixes
+get_all_sixes_filter()
+
 
diff --git a/q05_create_delivery_series/build.py b/q05_create_delivery_series/build.py
index fcc1b8a..0838dcf 100644
--- a/q05_create_delivery_series/build.py
+++ b/q05_create_delivery_series/build.py
@@ -1,7 +1,13 @@
+# %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=',')
 
 #Your Solution
+def create_delivery_series():
+    deliveries =pd.Series (ipl_matches_array[:,11])
+    return deliveries
+create_delivery_series()
+
 
diff --git a/q06_create_runs_series/build.py b/q06_create_runs_series/build.py
index fcc1b8a..ba4ff72 100644
--- a/q06_create_runs_series/build.py
+++ b/q06_create_runs_series/build.py
@@ -1,7 +1,15 @@
+# %load q06_create_runs_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=',')
 
 #Your Solution
+def create_runs_series(match_code):
+    m = ipl_matches_array[ipl_matches_array [:,0]==match_code]
+    ind = m[:,11]
+    runs = pd.Series(m[:,16],index=ind)
+    return runs
+
+