Learn 90% of PYTHON in Just 12 Hours (2025 Full Course)

PYTHON Full Course for Beginners in 12 Hours | Learn Python Programming with Practical [2025]

Become a Data Analyst with Industry Top Mentors: Over 120+ Hrs. Live Sessions, 20+ Projects, and 20 Jam Sessions & More

✨ Program Highlights:
👉 Get Mentored by Top Data Analysts of Microsoft, Amazon, KPMG, and Rapido
👉 Project Based Curriculum on Real Datasets
👉 Hybrid Mentorship with Mentor-led Live and Self-Paced Sessions
👉 Assured Placement Support with dedicated Pre Recruitment Prep Guidance

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Timestamps:

00:00:00 : Python Course Introduction
00:01:56 : Installing Python on Windows.
00:11:46 : Writing the first Python program.
00:15:27 : Adding comments in Python.
00:23:23 : Creating variables in Python.
00:33:47 : Data types and user inputs (int(), float(), eval()).
00:40:38 : Type casting and subtypes.
00:54:45 : Problem-solving techniques.
00:56:41 : Operators and operands in Python
01:01:46 : Arithmetic operators in Python
01:06:14 : Comparative operators in Python
01:12:16 : Logical operators in Python
01:15:59 : Assignment operator in Python
01:19:07 : Identity operators.
01:30:39 : Bitwise operators.
01:32:51 : Membership operators.
01:34:55 : Introduction to conditional statements.
01:38:56 : Using the if statement.
01:44:27 : Using if-else statements.
01:51:24 : Using if-elif-else statements.
01:57:11 : Nested if statements.
02:00:18 : Short-hand if statements.
02:03:50 : Short-hand if-else statements.
02:29:55 : Problem-solving techniques.
02:31:48 : Introduction to loops.
02:44:35 : For loops in Python
02:52:29 : While loops.
02:57:10 : While True.
03:06:23 : Nested loops.
03:11:50 : For loops with conditionals.
03:17:25 : Break and continue statements.
03:42:41 : Problem-solving (Part 1).
04:08:59 : Problem-solving (Part 2).
04:25:09 : Problem-solving (Part 3).
04:45:46 : String functions (Part 1).
05:01:52 : String functions (Part 2).
05:20:14 : String functions (Part 3).
05:27:43 : Slicing in strings.
05:35:01 : Problem-solving (1).
05:42:49 : Problem-solving (2).
05:55:04 : Problem-solving (3).
05:59:53 : Introduction to lists.
06:06:55 : List slicing.
06:15:07 : List iteration.
06:21:55 : List functions (Part 1).
06:27:33 : List functions (Part 2).
06:31:29 : List comprehension.
06:43:30 : Problem-solving.
06:47:47 : Introduction to tuples.
06:56:23 : Tuple slicing and iteration.
07:00:47 : Converting tuples to lists.
07:12:28 : Problem-solving.
07:17:23 : Introduction to dictionaries.
07:22:35 : Iteration in dictionaries.
07:25:53 : Dictionary functions (Part 1).
07:28:02 : Dictionary functions (Part 2).
07:34:50 : Nested dictionaries.
07:43:20 : Problem-solving.
07:47:08 : Introduction to sets.
07:51:35 : Set methods (Part 1).
07:57:37 : Set methods (Part 2).
08:06:14 : Set methods (Part 3).
08:16:10 : Problem-solving.
08:21:47 : Introduction to functions.
08:28:56 : Parameters and arguments.
08:41:47 : Return statement and recursion.
08:45:56 : Lambda functions in Python.
08:50:23 : Local and global variables.
09:16:23 : Problem-solving.
09:18:06 : Introduction to modules.
09:32:13 : In-built modules.
09:38:13 : Creation of modules.
10:31:36 : Project: Random module.
10:43:59 : Introduction to NumPy.
10:55:48 : Creation, indexing, and slicing of NumPy arrays.
11:02:38 : Mathematical operations on arrays.
11:11:16 : Combining and splitting arrays.
11:18:17 : Adding and removing elements in arrays.
11:28:30 : Searching, sorting, and filtering arrays.
11:38:50 : Aggregating functions in arrays.
11:52:29 : Statistical functions in arrays.

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--------------------------------------| Thanks |---------------------------
#pythoncrouse #pythontutorial #python

[wscubetech]

Become a Data Analyst with Industry Top Mentors: Over 120+ Hrs. Live Sessions, 20+ Projects, and 20 Jam Sessions & More

[Dil_se_Vibes]

Such a very helpful platform for students who can not afford course and also I learn from here many things and always learning thank you so much 💕

[irfan]

Highly recommend respect from Pakistan.

[irfan]

in dictionaries functions from (set default function) you have missed all the topic till (clear function) please update and include this portion from 07:27:45 on wards.

[narendralimbu]

I've been learning Python from your videos since last month, and I must say, ma'am, you're the best—your unique explanations make any topic a piece of cake; you truly rock! ❤️ Greetings from Nepal.

[khushishaw]

It was really good and helpful session.. I clear my doubts very easily.. thanku so much mam and your explanation way was good.

[shreepriyasingh]

at 7:02.00 suddenly json related questions are there in problem solving. And it is not discussed previously.

[Altaf_Alam]

Thank you for uploading this course.. Plz upload power query M language one shot.. Zero to hero😊❤

[Itz_AnimeSwift]

from 7:01:45 suddenly started solving problem on json, before its we were on tuples. please please fix this🙏🙏

[sagnikbhattacharya]

Thank you so much, I was waiting for this video 🙏🏼

[HistoryBuff]

Aapke time stamps incorrect hain. Please correct them

[LuckySingh-kkow]

Mam under 31:29 I am showing an error for age = int(input("Enter your age: "))
I am learning under jupyter notebook

[ZainAIMaster]

Data types 4 hen" string
Integer
Float
Boolean

Ap ne Boolean ke jga avel btaya h

Please giude me

[prembadawath]

Please make a video on business analyst full course Thank You

[iiamankashyap]

can you provide the ppt for the refernce and very useful to us.

[mdjavedfurquan]

Madam what difference between pycharm and python idel, how can I download pycharm?

[SaranshMishra-lo]

smma ka full course laiya jisme client closing wagera rehte ha plz

[AMMARALI-frcw]

Aap ne achanak se jo editor use krna shuru krdia he, r jo files creat ki par btya k ye kiya he r kesy use krty hein isy

[MitchellPJB]

Thanks a lot.. your videos are really useful and helping me...❤
Please also create Full course on Data visualization and EDA Concepts like Data Cleaning... to Multi variate analysis with Example... It shall be SUPER HIT🔥

[GOURABNAYAK-]

Really? If i learn from this video then don't need to go somewhere else to learn am i right ma'am?