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#datascience --------------------------------------------------------------------------------------------------------------------------------------- Video Description: Welcome to Python 101, a basic course in the Python programming language for learners with no previous coding experience. This course is taught in Urdu and Hindi, and is focused on introducing you to the fundamentals of Python for data science and machine learning. Throughout this course, you will learn how to install and set up Python on your computer, and how to work with data types, variables, and basic operators. You will also learn how to write and run Python scripts, and how to use control structures such as loops and conditional statements. In addition to these basic concepts, you will also learn about advanced topics such as object-oriented programming, modules and libraries, and how to work with data using popular libraries such as NumPy and Pandas. By the end of this course, you will have a solid foundation in Python and be ready to take on more advanced topics in data science and machine learning. So if you're ready to get started, let's dive in! --------------------------------------------------------------------------------------------------------------------------------------- ✅Subscribe to our Channel to learn more about the top Data Science, Machine Learning and Deep Learning : https://www.youtube.com/c/Codanics --------------------------------------------------------------------------------------------------------------------------------------- --------------------------------------------------------------------------------------------------------------------------------------- Explore other free courses here: 🔥 Python ka chilla v1.0 for Data Science (playlist): https://youtube.com/playlist?list=PL9XvIvvVL50HVsu-Ao8NBr0UJSO8O6lBI 🔥 Machine learning ka chilla (playlist): https://www.youtube.com/watch?v=KYl9zmSt-Ik&list=PL9XvIvvVL50HHzaLPtFBOuikAWa0JdhMW 🔥 Streamlit course for dash boards and webapps for data science (playlist): https://youtube.com/playlist?list=PL9XvIvvVL50FG8TUsLScsLMmJDacK36x2 🔥 Cloud computing (playlist): https://youtube.com/playlist?list=PL9XvIvvVL50H72Q75WkYA_2zjZok30Rvp 🔥 #RwithAammar Programming with R for Data Analysis and Data Science (Playlist): https://www.youtube.com/playlist?list=PL9XvIvvVL50E8HimtAnVL8N70MqImYOLS 🔥 Make publication ready graphs in Rstudio: https://www.youtube.com/playlist?list=PL9XvIvvVL50Hi2RGu-zlNEnk9WJMjPH-g 🔥 Computer Vision openCV in Python (Playlist): https://youtube.com/playlist?list=PL9XvIvvVL50GKoKrluZ1A96Bsuw8qC-3r 🔥MS Excel for Data Analysis: https://www.youtube.com/playlist?list=PL9XvIvvVL50Hl4kVygAWYEpBXUteQlAiN 🔥 SQL complete course in Hindi/Urdu: https://youtube.com/playlist?list=PL9XvIvvVL50FszjOhcZw9WXIJQY6ZwV5g --------------------------------------------------------------------------------------------------------------------------------------- 🔥-Follow me on following platforms: 1. Twitter: https://twitter.com/aammar_tufail 2. github: https://github.com/AammarTufail 3. Tiktok: https://www.tiktok.com/@draammar --------------------------------------------------------------------------------------------------------------------------------------- #dataScience Join this telegram group for regular updates via zoom meeting 1-to-1 sessions: https://t.me/codanics --------------------------------------------------------------------------------------------------------------------------------------- for more details: www.codanics.com #python101 #basicpython #urdu #hindi #datascience #machinelearning #pythoncourse #pythonforbeginners #pythontutorial #pythonprogramming #coding #codingforbeginners #urducoding #hindicoding #datasciencecourse # Time stamps: 00:00:00 Introduction 00:00:48 Chapter-1 First Program 00:03:23 Chapter-2 Operators 00:14:09 Chapter-3 Strings 00:19:57 Chapter-4 Comments in Python 00:24:48 Chapter-5 Variables 00:38:20 Chapter-6 Input Variables 00:48:41 Chapter-7 Conditional logics 01:00:22 Chapter-8 Type Conversion 01:10:42 Chapter-9 if, else & elif 01:21:51 Chapter-10 Functions 01:38:25 Chapter-11 Loops 01:46:17 Chapter-12 Import Libraries 01:51:00 Chapter-13 Trouble Shooting
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