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

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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 🔴 Apply Now: https://www.wscubetech.com/data-analytics-course?utm_source=YouTube&utm_medium=YT_Video&utm_campaign=DAMP_Cohort_2_Sep&utm_channel=WsCubeTech&utm_post_id=Sept2024_28 ✨ 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 WsCube Tech is a Vernacular Upskilling platform revolutionizing the way you learn and develop your career skills.🚀 WsCube Tech stands out as a leading EdTech platform, offering comprehensive education in Full Stack Web Development, WordPress, and various Web Development skills. Our approach involves both online and classroom training, featuring hands-on projects delivered practically by seasoned industry experts. With WsCube Tech, you'll gain hands-on skills that make you globally competitive. Our courses are designed to prepare over 100 million career aspirants for the 'Bharat' of the future. 😊 👉 Want to learn and acquire skills in English? Visit WsCube Tech English channel: https://bit.ly/2M3oYOs 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. 📞 For more info about the courses, call us: +91-9024244886, +91-9269698122 Connect with WsCube Tech on social media for the latest offers, promos, job vacancies, and much more: 😄 Facebook: https://www.facebook.com/wscubetech.india 🐦 Twitter: https://twitter.com/wscubetechindia 📱 Instagram: https://www.instagram.com/wscubetechindia/ 👨🏻‍💻 LinkedIn: https://www.linkedin.com/company/wscubetechindia/ 🔺 Youtube: http://bit.ly/wscubechannel 🌐 Website: http://wscubetech.com --------------------------------------| Thanks |--------------------------- #pythoncrouse #pythontutorial #python