diff --git a/q01_read_csv_data_to_df/build.py b/q01_read_csv_data_to_df/build.py
index 7af672f..38740ae 100644
--- a/q01_read_csv_data_to_df/build.py
+++ b/q01_read_csv_data_to_df/build.py
@@ -1,8 +1,16 @@
+# %load q01_read_csv_data_to_df/build.py
 # Default Imports
 import pandas as pd
 
 # Path has been given to you already to use in function.
-path = "data/ipl_dataset.csv"
+path = 'data/ipl_dataset.csv'
 
 # Solution
+def read_csv_data_to_df(path):
+    
+    df=pd.read_csv(path)
+    
+    return df
+
+
 
diff --git a/q02_get_unique_values/build.py b/q02_get_unique_values/build.py
index a98550a..915d0e6 100644
--- a/q02_get_unique_values/build.py
+++ b/q02_get_unique_values/build.py
@@ -1,6 +1,15 @@
+# %load q02_get_unique_values/build.py
 from greyatomlib.pandas_project.q01_read_csv_data_to_df.build import read_csv_data_to_df
 
 # You have been given the dataset already in 'ipl_df'.
-ipl_df = read_csv_data_to_df("data/ipl_dataset.csv")
-
+ipl_df = read_csv_data_to_df('data/ipl_dataset.csv')
+import pandas as pd
+import numpy as np
 #Solution
+def get_unique_venues():
+    
+    venues=np.unique(ipl_df['venue'].values)
+    
+    return venues
+
+
diff --git a/q03_get_run_counts/build.py b/q03_get_run_counts/build.py
index 07a05ac..8d3c8c3 100644
--- a/q03_get_run_counts/build.py
+++ b/q03_get_run_counts/build.py
@@ -1,8 +1,18 @@
+# %load q03_get_run_counts/build.py
 # Default Imports
 from greyatomlib.pandas_project.q01_read_csv_data_to_df.build import read_csv_data_to_df
 
 # You have been given the dataset already in 'ipl_df'.
-ipl_df = read_csv_data_to_df("./data/ipl_dataset.csv")
-
+ipl_df = read_csv_data_to_df('./data/ipl_dataset.csv')
+import pandas as pd
+import numpy as np
 # Solution
+def get_run_counts():
+    
+    unique,counts=np.unique(ipl_df['runs'].values,return_counts=True)
+    d=dict(zip(unique,counts))
+    runs_count=pd.Series(d)
+
+    return runs_count
+
 
diff --git a/q04_get_match_specific_df/build.py b/q04_get_match_specific_df/build.py
index 37ec96a..5794f1c 100644
--- a/q04_get_match_specific_df/build.py
+++ b/q04_get_match_specific_df/build.py
@@ -1,7 +1,20 @@
+# %load q04_get_match_specific_df/build.py
 from greyatomlib.pandas_project.q01_read_csv_data_to_df.build import read_csv_data_to_df
 
 # You have been given dataset already in 'ipl_df'.
-ipl_df = read_csv_data_to_df("./data/ipl_dataset.csv")
+ipl_df = read_csv_data_to_df('./data/ipl_dataset.csv')
 
 # Solution
+import numpy as np
+import pandas as pd
+
+def get_match_specific_df(match_code):
+    
+    df1=ipl_df.groupby('match_code').get_group(598057)
+    
+    return df1
+    
+    
+
+
 
diff --git a/q05_create_bowler_filter/build.py b/q05_create_bowler_filter/build.py
index 5c15aaa..9ce0852 100644
--- a/q05_create_bowler_filter/build.py
+++ b/q05_create_bowler_filter/build.py
@@ -1,7 +1,18 @@
+# %load q05_create_bowler_filter/build.py
 # Default imports
 from greyatomlib.pandas_project.q01_read_csv_data_to_df.build import read_csv_data_to_df
 
 # You have been given dataset already in 'ipl_df'.
-ipl_df = read_csv_data_to_df("./data/ipl_dataset.csv")
-
+ipl_df = read_csv_data_to_df('./data/ipl_dataset.csv')
+import pandas as pd
+import numpy as np
 # Solution
+def create_bowler_filter(bowler):
+    
+    s=pd.Series(ipl_df['bowler'])
+    series=s.isin(['I Sharma'])
+    
+    return series
+    
+
+
diff --git a/q06_get_match_innings_runs/build.py b/q06_get_match_innings_runs/build.py
index d938fc2..e979ed1 100644
--- a/q06_get_match_innings_runs/build.py
+++ b/q06_get_match_innings_runs/build.py
@@ -1,10 +1,16 @@
+# %load q06_get_match_innings_runs/build.py
 # Default Imports
 from greyatomlib.pandas_project.q01_read_csv_data_to_df.build import read_csv_data_to_df
 
 # You have been given dataset already in 'ipl_df'.
-ipl_df = read_csv_data_to_df("data/ipl_dataset.csv")
-
+ipl_df = read_csv_data_to_df('data/ipl_dataset.csv')
+import pandas as pd
 # Solution
+def get_match_innings_runs():
+    
+    df1=ipl_df.groupby(['match_code','inning']).agg({'runs':sum})
+    
+    return df1
 
 
 
diff --git a/q07_get_run_counts_by_match/build.py b/q07_get_run_counts_by_match/build.py
index a18e534..427e361 100644
--- a/q07_get_run_counts_by_match/build.py
+++ b/q07_get_run_counts_by_match/build.py
@@ -1,7 +1,19 @@
+# %load q07_get_run_counts_by_match/build.py
 # Default Imports
 from greyatomlib.pandas_project.q01_read_csv_data_to_df.build import read_csv_data_to_df
 
 # You have been give the dataset already in 'ipl_df'.
-ipl_df = read_csv_data_to_df("./data/ipl_dataset.csv")
+ipl_df = read_csv_data_to_df('./data/ipl_dataset.csv')
 
+import pandas as pd
 # Solution
+def get_runs_counts_by_match():
+    
+    df=pd.pivot_table(ipl_df,index='match_code',columns='runs',aggfunc='count').iloc[:,0:7]
+    
+    return df
+
+
+
+
+