Python 101 Crash Course for Beginner Data Scientists | Learn Python in Urdu/Hindi (12 Hours)

You can book One to one consultancy session with me on Mentoga: https://mentoga.com/muhammadaammartufail #codanics #dataanalytics #pythonkachilla #pkc24 ✅✅✅✅✅✅✅✅✅✅✅✅✅✅✅✅✅✅✅✅✅ Python ka chilla 2024 You can now register for Python ka chilla 2024 This is a paid course which you can register and find more information at the following link: https://forms.gle/kUU3eZJsFRb7Cn6r8 ✅✅✅✅✅✅✅✅✅✅✅✅✅✅✅✅✅✅✅✅✅ Here you can access all the codes and datasets from Python ka chilla 2024: https://github.com/AammarTufail/python-ka-chilla-2024 ✅✅✅✅✅✅✅✅✅✅✅✅✅✅✅✅✅✅✅✅✅ --------------------------------------------------------------------------------------------------------------------------------------- 🐍 Master Python for Data Science in Just 12 Hours! 🚀 This Complete Python 101 Crash Course is designed for beginner data scientists who want to learn Python from scratch in Urdu/Hindi. Whether you're new to programming or looking to kickstart your journey in Data Science, this course has everything you need to build a strong foundation in Python. What You’ll Learn in This Course: ✔️ Python Basics: Syntax, Variables, Data Types ✔️ Control Flow: Loops, Conditional Statements ✔️ Functions and Modules ✔️ Data Structures: Lists, Dictionaries, Sets ✔️ File Handling and Exception Handling ✔️ Introduction to Pandas and Numpy for Data Analysis ✔️ Real-world Projects for Data Science Applications 💡 This crash course is perfect for students, beginners, and professionals looking to dive into the world of Python and Data Science. 🔔 Subscribe to Codanics for more free tutorials in Data Science, AI, and Python! #Python101 #LearnPython #PythonForBeginners #DataScience #CrashCoursePython #UrduTutorial #HindiTutorial #codanics #babaammar #aammartufail #pakistan #urduai #pythonkachilla --------------------------------------------------------------------------------------------------------------------------------------- ✅✅✅RoadMap to Data Analytics✅✅✅ Complete RoadMap to Become a Data Analyst in 2024. Learn and Practice these skills and courses from our youtube Channel Codanics or our website www.codanics.com The complete Data Analytics Course can be accessed here: https://codanics.com/courses/data-analyst-summer-bootcamp/ Please share and like this video, also write your comment here and subscribe our channel. Time Stamps and Chapters for Python ka chilla: 00:00:00 What is Python? 00:03:23 Installation process 00:16:06 VScode profile and themes 00:22:36 File and Folder Management 00:32:12 Miniconda Environment Guide 00:54:18 GitBash and Miniconda connect 01:01:53 Jupyter Notebooks 01:09:31 Python for Data Science 01:23:52 Important logins for students 01:37:01 GitHub student developer pack 01:37:56 Naming Conventions for variables 01:54:15 Jupyter notebook vs. py files 02:07:42 Variables in Python 02:27:19 Types of Variables 02:51:05 Type casting 03:14:46 Dynamic Type casting 03:23:49 Comments in Python 03:28:47 gitbash in VScode 03:32:30 Screencast Mode 03:34:59 Google your errors 03:41:44 How to google? 03:51:43 Alternatives to github co-pilots 03:54:47 Activate github co-pilot in VScode 03:56:03 Snipping tool for questions 03:59:53 When to use variables and data structures? 04:10:42 Data Structures 04:46:31 Sequences 05:08:28 Indexing 05:33:38 Slicing 05:39:40 Mutable Elements 05:45:44 Range Functions 05:48:09 gitbash as default terminal in vscode 05:49:52 control flow statements 06:09:58 Audience examples of control flow statements 06:13:06 if else or elif statements 06:30:40 conditional and relational operators 06:52:36 for and while loops 07:07:50 break continue and pass statements 07:16:35 infinite loops 07:26:35 try except and finally 07:31:51 summary of control flow statements 07:34:24 .ipynb to pdf file conversion 07:57:53 functions 08:24:15 lambda function 08:46:47 user input functions 09:11:18 gitbash in vscode 09:13:01 nine methods for print functions 09:54:55 tips to improve communciation 09:56:19 generators 10:09:53 libraries in python 10:32:04 social media appearance 10:38:16 installing important libraries 10:54:49 PyPI and pip 10:59:13 Top 5 libraries 11:07:30 Seventeen important libraries 11:18:42 use libraries as professionals 11:35:15 Loading and saving data in python --------------------------------------------------------------------------------------------------------------------------------------- ✅Our Free Books: https://codanics.com/books/abc-of-statistics-for-data-science/ ✅Our website: https://www.codanics.com ✅Our Courses: https://www.codanics.com/courses ✅Our YouTube Channel: www.youtube.com/@Codanics ✅ Our whatsapp channel: https://whatsapp.com/channel/0029Va7nRDq3QxRzGqaQvS3r ✅Our Facebook Group: https://www.facebook.com/groups/codanics ✅Our Discord group for community Discussion: https://discord.gg/QpvUKEtUJD ✉️For more Details contact us at [email protected]