diff --git a/q01_get_total_deliveries_players/build.py b/q01_get_total_deliveries_players/build.py
index 2bc0f30..fae3567 100644
--- a/q01_get_total_deliveries_players/build.py
+++ b/q01_get_total_deliveries_players/build.py
@@ -1,7 +1,22 @@
+# %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=",")
+import pandas as pd
+ipl_matches_array =np.genfromtxt('data/ipl_matches_small.csv', dtype='|S50', skip_header=1, delimiter=',')
 
 # Your Solution
+def get_total_deliveries_played(name):
+    y=(ipl_matches_array)[:,13]
+    s=0
+    for x in y:
+        if x==name:
+            s+=1
+    return s
+    
+
+
+
+
+
+
 
diff --git a/q02_get_wicket_delivery_numbers_array/build.py b/q02_get_wicket_delivery_numbers_array/build.py
index 47401a5..0a3a626 100644
--- a/q02_get_wicket_delivery_numbers_array/build.py
+++ b/q02_get_wicket_delivery_numbers_array/build.py
@@ -1,7 +1,35 @@
+# %load q02_get_wicket_delivery_numbers_array/build.py
 #Default Imports
 import numpy as np
+import pandas as pd
 
-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(name):
+    df=pd.DataFrame(ipl_matches_array[:,[11,-3]])
+    x=df.loc[df[1] == name]
+    y=np.array(x[0])
+    return y
+    
+    
+    
+    
+    
+    
+
+import pandas as pd
+
+df=pd.DataFrame(ipl_matches_array[:,[11,-3]])
+ipl_matches_array[:,[12,-3]]
+list(df)
+x=df.loc[df[1] == b'ST Jayasuriya']
+np.shape(x)
+y=np.array(x[0])
+y
+df
+
+
+
diff --git a/q03_get_toss_win_count/build.py b/q03_get_toss_win_count/build.py
index d0f09a9..0e7693d 100644
--- a/q03_get_toss_win_count/build.py
+++ b/q03_get_toss_win_count/build.py
@@ -1,7 +1,46 @@
+# %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=',')
+import pandas as pd
 
 
+def get_toss_win_count(name):
+    x= ipl_matches_array
+    p=x[:,0]
+    uni_teams,uni_index=np.unique(p,return_index=True)
+    m=pd.DataFrame(x[:,[0,5]])
+    t=[]
+    for d in uni_index:
+        t.append(m.get_value(d,1))  
+        
+    return t.count(name)
+    
+    
+    
+    
+    #return x
+
 #Your Solution
 
+
+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..99ff494 100644
--- a/q04_get_all_sixes_filter/build.py
+++ b/q04_get_all_sixes_filter/build.py
@@ -1,7 +1,18 @@
+# %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=',')
 
+def get_all_sixes_filter():
+    x=np.array(ipl_matches_array[:,16])
+    return list(map(lambda x: x == b'6', x))
 #Your Solution
 
+
+x=np.array(ipl_matches_array[:,16])
+a=[1,2,3,4,5,6,7,8,9]
+[b for b in x if b==b'6']
+ipl_matches_array[:, 16].astype(np.int16) == 6
+list(map(lambda x: x == b'6', x))
+
+
diff --git a/q05_create_delivery_series/build.py b/q05_create_delivery_series/build.py
index fcc1b8a..2d84ee8 100644
--- a/q05_create_delivery_series/build.py
+++ b/q05_create_delivery_series/build.py
@@ -1,7 +1,16 @@
+# %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=',')
 
+def create_delivery_series():
+    x= pd.Series(ipl_matches_array[:,11])
+    return x
 #Your Solution
 
+
+x= pd.Series(ipl_matches_array[:,11])
+type(x)
+
+
diff --git a/q06_create_runs_series/build.py b/q06_create_runs_series/build.py
index fcc1b8a..487418c 100644
--- a/q06_create_runs_series/build.py
+++ b/q06_create_runs_series/build.py
@@ -1,7 +1,21 @@
+# %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(code):
+    x= ipl_matches_array[:,11]
+    y= ipl_matches_array[:,16]
+    s=pd.Series(y,index=x)
+    return s
+
+x= ipl_matches_array[:,11]
+x
+y= ipl_matches_array[:,16]
+y
+s=pd.Series(y,index=x)
+s
+