diff --git a/q01_get_total_deliveries_players/build.py b/q01_get_total_deliveries_players/build.py
index 2bc0f30..5d996b0 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=",")
+ipl_matches_array =np.genfromtxt('data/ipl_matches_small.csv', dtype='|S50', skip_header=1, delimiter=',')
 
 # Your Solution
+def get_total_deliveries_played(batsman='SR Tendulkar'):
+    
+    
+    unique, counts = np.unique(ipl_matches_array[:,13], return_counts=True)
+    d=dict(zip(unique, counts))
+    
+    occ=d[batsman]
+    return occ
+
 
diff --git a/q02_get_wicket_delivery_numbers_array/build.py b/q02_get_wicket_delivery_numbers_array/build.py
index 47401a5..888a7c1 100644
--- a/q02_get_wicket_delivery_numbers_array/build.py
+++ b/q02_get_wicket_delivery_numbers_array/build.py
@@ -1,7 +1,21 @@
+# %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):
+    
+    arr=ipl_matches_array[:,[11,20]]
+    
+    
+    
+    arr1=arr[list(np.where(arr[:,1]==b'ST Jayasuriya')),0]
+    
+    return arr1
+    
+
+
+
 
diff --git a/q03_get_toss_win_count/build.py b/q03_get_toss_win_count/build.py
index d0f09a9..3d12a02 100644
--- a/q03_get_toss_win_count/build.py
+++ b/q03_get_toss_win_count/build.py
@@ -1,7 +1,23 @@
+# %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='Mumbai Indians'):
+    
+    arr=ipl_matches_array[:,[0,5]]
+    arr1=np.unique(arr,axis=0)
+    
+    unique,counts=np.unique(arr1[:,1],return_counts=True)
+    d=dict(zip(unique,counts))
+    
+    toss=d[team]
+    
+    return toss
+    
+
+
+
 
diff --git a/q04_get_all_sixes_filter/build.py b/q04_get_all_sixes_filter/build.py
index d0f09a9..5817fda 100644
--- a/q04_get_all_sixes_filter/build.py
+++ b/q04_get_all_sixes_filter/build.py
@@ -1,7 +1,15 @@
+# %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=int, skip_header=1, delimiter=',')
 
 
 #Your Solution
+def get_all_sixes_filter():
+    
+    arr=ipl_matches_array[:,16]==6
+    
+    return arr
+
+
 
diff --git a/q05_create_delivery_series/build.py b/q05_create_delivery_series/build.py
index fcc1b8a..fd15183 100644
--- a/q05_create_delivery_series/build.py
+++ b/q05_create_delivery_series/build.py
@@ -1,7 +1,15 @@
+# %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():
+    
+    p=pd.Series(list(ipl_matches_array[:,11]))
+    
+    return p
+
+
 
diff --git a/q06_create_runs_series/build.py b/q06_create_runs_series/build.py
index fcc1b8a..ddb7b7d 100644
--- a/q06_create_runs_series/build.py
+++ b/q06_create_runs_series/build.py
@@ -1,7 +1,16 @@
+# %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):
+    
+    d=dict(zip(ipl_matches_array[:,11],ipl_matches_array[:,16]))
+    s=pd.Series(d)
+    
+    return s
+
+