Fix: Correct factorial(5) output from 60 to 120 in decorators exercise

Basics/Exercise/25_decorators/25_decorators.md

@@ -10,7 +10,7 @@ example:
 
     factorial(1.354) : raise Exception or print error message
     factorial(-1) : raise Exception or print error message
-    factorial(5) : 60
+    factorial(5) : 120
 
 ```
 [Solution](https://github.com/codebasics/py/blob/master/Basics/Exercise/25_decorators/25_decorators.py)

TechTopics/DataScienceRoadMap2020/data_science_roadmap_2020.md

@@ -1,94 +1,94 @@
-## Learn data science step by step in 6 months
-----------------------------------------------
-
-Following is a schedule to learn data science step by step considering **4 hours** of dedicated, focused study every single day. This program is perfect for beginners with no knowledge of data science and programming.
-
-### Week 1 and 2: Excel and Statistics
-
-* Excel 
-	- Google templates gallery for personal finance etc : https://docs.google.com/spreadsheets/u/0/?ftv=1
-	- Budget planner: https://www.vertex42.com/ExcelTemplates/budgets.html
-	- Chandoo's youtube channel: https://www.youtube.com/channel/UC8uU_wruBMHeeRma49dtZKA
-	- Chandoo's website:  https://chandoo.org/
-
-* Statistics 
-	- Khan academy: https://www.khanacademy.org/math/statistics-probability
-	- Khan academy youtube: https://www.youtube.com/playlist?list=PL1328115D3D8A2566
-	- Statistics by Marin : https://www.youtube.com/playlist?list=PLqzoL9-eJTNBZDG8jaNuhap1C9q6VHyVa
-	- Statquest youtube channel: https://www.youtube.com/user/joshstarmer
-
-### Week 3 and 4: Python
-
-* Python
-        - My Python course that is 5X better than the free playlists: https://codebasics.io/courses/python-for-beginner-and-intermediate-learners 
-	- Codebasics python tutorials (first 16) - https://www.youtube.com/playlist?list=PLeo1K3hjS3uv5U-Lmlnucd7gqF-3ehIh0
-	- Codebasics python HINDI tutorials (first 16)- https://www.youtube.com/playlist?list=PLPbgcxheSpE1DJKfdko58_AIZRIT0TjpO
-	- Make sure to work on exercises
-* R 
-  - Marin's lectures: https://www.youtube.com/playlist?list=PLqzoL9-eJTNBlVXxWvJkq0dtVut2sICUW
-  
-### Week 5, 6, 7, 8: Numpy, Pandas, Data Visualization Libraries  
-
-* NumPy and Pandas
-	- Codebasics Numpy playlist: https://www.youtube.com/playlist?list=PLeo1K3hjS3uset9zIVzJWqplaWBiacTEU
-	- Codebasics pandas playlist (first 9): https://www.youtube.com/playlist?list=PLeo1K3hjS3uuASpe-1LjfG5f14Bnozjwy
-
-* Visualization library
-	- Matplotlib: codebasics matplotlib playlist: https://www.youtube.com/playlist?list=PLeo1K3hjS3uu4Lr8_kro2AqaO6CFYgKOl
-	- Seaborn: codebasics seaborn tutorials: https://www.youtube.com/playlist?list=PLJIOr9Je9wzHT-ptgfelpt2Nyx4VGX_j9
-	
-* Kaggle exploratory data analysis
-	- Notebooks: https://www.kaggle.com/notebooks
-	- Datasets: https://www.kaggle.com/datasets
-	
-### Week 9, 10, 11, 12: Machine Learning
-
-* Machine learning
-	- codebasics ml playlist (first 16): https://www.youtube.com/playlist?list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw
-	- data science regression project: same playlist as above. Tutorial 18 to 25
-	- HINDI codebasics ml playlist (first 14): https://www.youtube.com/playlist?list=PLPbgcxheSpE0aBsefANDYe2X_-tyJbBMr
-	
-### Week 13, 14, 15, 16: Deep Learning
-
-* Deep learning	 (artificial neural network, convolutional neural network, recurrent neural network) 
-  - codebasics deep learning playlist: https://www.youtube.com/playlist?list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO
-  
-### Week 17, 18, 19, 20: SQL & MongoDB
-
-* SQL
-	- My SQL course for data professionals, if you do this you don't have to look at any other resources: https://codebasics.io/courses/sql-beginner-to-advanced-for-data-professionals
-	- kudavenkat playlist (first 16): https://www.youtube.com/playlist?list=PL08903FB7ACA1C2FB
-	- khanacademy SQL course: https://www.khanacademy.org/computing/computer-programming/sql
-  
-* MongoDB 
-  - https://www.coursera.org/learn/introduction-mongodb
-  
-### Week 21, 22, 23, 24: BI tools
-
-If you don't have a strong reason to choose between Power BI and Tableau, I would suggest choosing Power BI as it is increasing becoming popular. Microsoft is investing a lot in this tool and accordingly to Gartner's magic quadrant, Power BI is leading the data analytics market as of 2022.
-
-* Power BI (project)
-  - My Power BI course that can make you job ready: https://codebasics.io/courses/power-bi-data-analysis-with-end-to-end-project
-  - codebasics sales insights project: https://www.youtube.com/playlist?list=PLeo1K3hjS3uva8pk1FI3iK9kCOKQdz1I9
-  - personal finance management project: https://www.youtube.com/watch?v=pqSoCa2NGj4
-
-* Tableau
-  - Codebasics sales insights project: https://www.youtube.com/playlist?list=PLeo1K3hjS3usDI9XeUgjNZs6VnE0meBrL
-  - HINDI codebasics sales insights project: https://www.youtube.com/playlist?list=PLPbgcxheSpE2B7YFfOualUTlRhgnQR7Kn
-  - Abhishek Agarwal: https://www.youtube.com/playlist?list=PL6_D9USWkG1C4raCOTlTf_oq4XnNNNtm9
-  - Bharti consultancy:  https://www.youtube.com/playlist?list=PLyD1XCIRA3gQmN73dHwQWr4R08ABZFMtZ
-
-  
-## Soft skills
----------------
-* Learn anything effectively: https://www.youtube.com/watch?v=yZFrSDjRvjk
-
-* Group learning
-	- Codebasics discord server:  https://discord.gg/r42Kbuk
-	- Hold each other accountable
-	  
-## Books and other resources
---------------------------------------    
-* Free book on statistics: http://greenteapress.com/thinkstats/thinkstats.pdf
-* Another good book on statistics (not free) Naked Statistics - Charles Wheelan
-
+## Learn data science step by step in 6 months
+----------------------------------------------
+
+Following is a schedule to learn data science step by step considering **4 hours** of dedicated, focused study every single day. This program is perfect for beginners with no knowledge of data science and programming.
+
+### Week 1 and 2: Excel and Statistics
+
+* Excel 
+	- Google templates gallery for personal finance etc : https://docs.google.com/spreadsheets/u/0/?ftv=1
+	- Budget planner: https://www.vertex42.com/ExcelTemplates/budgets.html
+	- Chandoo's youtube channel: https://www.youtube.com/channel/UC8uU_wruBMHeeRma49dtZKA
+	- Chandoo's website:  https://chandoo.org/
+
+* Statistics 
+	- Khan academy: https://www.khanacademy.org/math/statistics-probability
+	- Khan academy youtube: https://www.youtube.com/playlist?list=PL1328115D3D8A2566
+	- Statistics by Marin : https://www.youtube.com/playlist?list=PLqzoL9-eJTNBZDG8jaNuhap1C9q6VHyVa
+	- Statquest youtube channel: https://www.youtube.com/user/joshstarmer
+
+### Week 3 and 4: Python
+
+* Python
+        - My Python course that is 5X better than the free playlists: https://codebasics.io/courses/python-for-beginner-and-intermediate-learners 
+	- Codebasics python tutorials (first 16) - https://www.youtube.com/playlist?list=PLeo1K3hjS3uv5U-Lmlnucd7gqF-3ehIh0
+	- Codebasics python HINDI tutorials (first 16)- https://www.youtube.com/playlist?list=PLPbgcxheSpE1DJKfdko58_AIZRIT0TjpO
+	- Make sure to work on exercises
+* R 
+  - Marin's lectures: https://www.youtube.com/playlist?list=PLqzoL9-eJTNBlVXxWvJkq0dtVut2sICUW
+
+### Week 5, 6, 7, 8: Numpy, Pandas, Data Visualization Libraries  
+
+* NumPy and Pandas
+	- Codebasics Numpy playlist: https://www.youtube.com/playlist?list=PLeo1K3hjS3uset9zIVzJWqplaWBiacTEU
+	- Codebasics pandas playlist (first 9): https://www.youtube.com/playlist?list=PLeo1K3hjS3uuASpe-1LjfG5f14Bnozjwy
+
+* Visualization library
+	- Matplotlib: codebasics matplotlib playlist: https://www.youtube.com/playlist?list=PLeo1K3hjS3uu4Lr8_kro2AqaO6CFYgKOl
+	- Seaborn: codebasics seaborn tutorials: https://www.youtube.com/playlist?list=PLJIOr9Je9wzHT-ptgfelpt2Nyx4VGX_j9
+
+* Kaggle exploratory data analysis
+	- Notebooks: https://www.kaggle.com/notebooks
+	- Datasets: https://www.kaggle.com/datasets
+
+### Week 9, 10, 11, 12: Machine Learning
+
+* Machine learning
+	- codebasics ml playlist (first 16): https://www.youtube.com/playlist?list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw
+	- data science regression project: same playlist as above. Tutorial 18 to 25
+	- HINDI codebasics ml playlist (first 14): https://www.youtube.com/playlist?list=PLPbgcxheSpE0aBsefANDYe2X_-tyJbBMr
+
+### Week 13, 14, 15, 16: Deep Learning
+
+* Deep learning	 (artificial neural network, convolutional neural network, recurrent neural network) 
+  - codebasics deep learning playlist: https://www.youtube.com/playlist?list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO
+
+### Week 17, 18, 19, 20: SQL & MongoDB
+
+* SQL
+	- My SQL course for data professionals, if you do this you don't have to look at any other resources: https://codebasics.io/courses/sql-beginner-to-advanced-for-data-professionals
+	- kudavenkat playlist (first 16): https://www.youtube.com/playlist?list=PL08903FB7ACA1C2FB
+	- khanacademy SQL course: https://www.khanacademy.org/computing/computer-programming/sql
+
+* MongoDB 
+  - https://www.coursera.org/learn/introduction-mongodb
+
+### Week 21, 22, 23, 24: BI tools
+
+If you don't have a strong reason to choose between Power BI and Tableau, I would suggest choosing Power BI as it is increasing becoming popular. Microsoft is investing a lot in this tool and accordingly to Gartner's magic quadrant, Power BI is leading the data analytics market as of 2022.
+
+* Power BI (project)
+  - My Power BI course that can make you job ready: https://codebasics.io/courses/power-bi-data-analysis-with-end-to-end-project
+  - codebasics sales insights project: https://www.youtube.com/playlist?list=PLeo1K3hjS3uva8pk1FI3iK9kCOKQdz1I9
+  - personal finance management project: https://www.youtube.com/watch?v=pqSoCa2NGj4
+
+* Tableau
+  - Codebasics sales insights project: https://www.youtube.com/playlist?list=PLeo1K3hjS3usDI9XeUgjNZs6VnE0meBrL
+  - HINDI codebasics sales insights project: https://www.youtube.com/playlist?list=PLPbgcxheSpE2B7YFfOualUTlRhgnQR7Kn
+  - Abhishek Agarwal: https://www.youtube.com/playlist?list=PL6_D9USWkG1C4raCOTlTf_oq4XnNNNtm9
+  - Bharti consultancy:  https://www.youtube.com/playlist?list=PLyD1XCIRA3gQmN73dHwQWr4R08ABZFMtZ
+
+
+## Soft skills
+---------------
+* Learn anything effectively: https://www.youtube.com/watch?v=yZFrSDjRvjk
+
+* Group learning
+	- Codebasics discord server:  https://discord.gg/r42Kbuk
+	- Hold each other accountable
+
+## Books and other resources
+--------------------------------------    
+* Free book on statistics: http://greenteapress.com/thinkstats/thinkstats.pdf
+* Another good book on statistics (not free) Naked Statistics - Charles Wheelan
+

pandas/2_dataframe_basics/weather_data.csv

@@ -1,7 +1,7 @@
-day,temperature,windspeed,event
-1/1/2017,32,6,Rain
-1/2/2017,35,7,Sunny
-1/3/2017,28,2,Snow
-1/4/2017,24,7,Snow
-1/5/2017,32,4,Rain
-1/6/2017,31,2,Sunny
+day,temperature,windspeed,event
+1/1/2017,32,6,Rain
+1/2/2017,35,7,Sunny
+1/3/2017,28,2,Snow
+1/4/2017,24,7,Snow
+1/5/2017,32,4,Rain
+1/6/2017,31,2,Sunny

pandas/3_different_ways_of_creating_dataframe/weather_data.csv

@@ -1,4 +1,4 @@
-day,temperature,windspeed,event
-1/1/2017,32,6,Rain
-1/2/2017,35,7,Sunny
-1/3/2017,28,2,Snow
+day,temperature,windspeed,event
+1/1/2017,32,6,Rain
+1/2/2017,35,7,Sunny
+1/3/2017,28,2,Snow