From b0e660eb0e86e3fdb09e95b12307fddd160acb27 Mon Sep 17 00:00:00 2001 From: mirza-ceng <2005mirza2005@gmail.com> Date: Fri, 27 Feb 2026 17:29:31 +0300 Subject: [PATCH 1/3] Create info_mirza_german.py --- Week01/info_mirza_german.py | 2 ++ 1 file changed, 2 insertions(+) create mode 100644 Week01/info_mirza_german.py diff --git a/Week01/info_mirza_german.py b/Week01/info_mirza_german.py new file mode 100644 index 00000000..887825e1 --- /dev/null +++ b/Week01/info_mirza_german.py @@ -0,0 +1,2 @@ +student_id="230316056" +full_name="Senai Mirza German" \ No newline at end of file From 3c67a362272d877bcc157015e33fe79ff97192a9 Mon Sep 17 00:00:00 2001 From: mirza-ceng <2005mirza2005@gmail.com> Date: Thu, 12 Mar 2026 23:08:40 +0300 Subject: [PATCH 2/3] Add weighted_mirza_german_py --- Week02/weighted_mirza_german.py | 9 +++++++++ 1 file changed, 9 insertions(+) create mode 100644 Week02/weighted_mirza_german.py diff --git a/Week02/weighted_mirza_german.py b/Week02/weighted_mirza_german.py new file mode 100644 index 00000000..b00b97a5 --- /dev/null +++ b/Week02/weighted_mirza_german.py @@ -0,0 +1,9 @@ +import random + +def weighted_srs(data, n, weights, with_replacement = False): + + if with_replacement == True or weights != None: + sample = random.choices(data, k = n, weights = weights) + else: + sample = random.sample(data, n) + return sample \ No newline at end of file From 6f408b8cebfd1538cc3f46efb27add42efd13760 Mon Sep 17 00:00:00 2001 From: mirza-ceng <2005mirza2005@gmail.com> Date: Fri, 13 Mar 2026 17:17:33 +0300 Subject: [PATCH 3/3] Remove unnecessary blank lines in weighted_mirza_german.py --- Week02/weighted_mirza_german.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/Week02/weighted_mirza_german.py b/Week02/weighted_mirza_german.py index b00b97a5..18e3007a 100644 --- a/Week02/weighted_mirza_german.py +++ b/Week02/weighted_mirza_german.py @@ -1,9 +1,7 @@ import random - def weighted_srs(data, n, weights, with_replacement = False): - if with_replacement == True or weights != None: sample = random.choices(data, k = n, weights = weights) else: sample = random.sample(data, n) - return sample \ No newline at end of file + return sample