diff --git a/q01_get_total_deliveries_players/build.py b/q01_get_total_deliveries_players/build.py
index 2bc0f30..a9e02ea 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):
+    batsman_deliveries =  ipl_matches_array[ipl_matches_array[:,13] == batsman]
+    return len(batsman_deliveries)
+get_total_deliveries_played('ST Jayasuriya')
+
 
diff --git a/q02_get_wicket_delivery_numbers_array/build.py b/q02_get_wicket_delivery_numbers_array/build.py
index 47401a5..1f8faa7 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(batsman):
+    data = ipl_matches_array[ipl_matches_array[:,20] == batsman]
+    return data[:,11]
+
+get_wicket_delivery_numbers_array('SR Tendulkar')
+
+
 
diff --git a/q03_get_toss_win_count/build.py b/q03_get_toss_win_count/build.py
index d0f09a9..bd0cc89 100644
--- a/q03_get_toss_win_count/build.py
+++ b/q03_get_toss_win_count/build.py
@@ -1,7 +1,19 @@
+# %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):
+    dic = {}
+    toss_count = 0
+    for i in ipl_matches_array[:,[0,5]]:
+        if i[0] not in dic:
+            dic[i[0]] = i[1]  # Make a dic of unique matches and toss winner team
+    return len([x for x in dic.values() if x == team])
+get_toss_win_count('Mumbai Indians')
+
+
+
diff --git a/q04_get_all_sixes_filter/build.py b/q04_get_all_sixes_filter/build.py
index d0f09a9..a1568ee 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():
+    return (ipl_matches_array[:, 16].astype(np.int16) == 6)
+get_all_sixes_filter()
+
+
+
diff --git a/q05_create_delivery_series/build.py b/q05_create_delivery_series/build.py
index fcc1b8a..69b04f6 100644
--- a/q05_create_delivery_series/build.py
+++ b/q05_create_delivery_series/build.py
@@ -1,7 +1,12 @@
+# %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():
+    return pd.Series(ipl_matches_array[:,11])
+
+
 
diff --git a/q06_create_runs_series/build.py b/q06_create_runs_series/build.py
index fcc1b8a..40a9d19 100644
--- a/q06_create_runs_series/build.py
+++ b/q06_create_runs_series/build.py
@@ -1,7 +1,14 @@
+# %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):
+    data = ipl_matches_array[ipl_matches_array[:,0] == match_code]
+    series = pd.Series(data[:,16],                        index=data[:,11])
+    return series
+
+