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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


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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

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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/

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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



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