Course Content
Why Should You enroll?
0/3
What is Python ka Chilla 2024?
10:16
Python seekh len Python ka Chilla is back #pythonkachilla
06:24
Enroll in LMS of Python ka Chilla 2024-25
05:33
Resources for the Course
0/2
Books for the course
00:00
GitHub Repository for the course
00:00
Day-1
0/9
Course content in this course
05:51
Registration is still open
00:20
Know your instructor
04:52
Class Timings
00:00
Important Rules for the course
06:05
Turn on Video during meetings
01:36
What is Python?
03:24
LMS (Learning Management System) for the course
09:26
Zoom Meeting Questions and Answers
27:26
Day-2
0/5
Installing different software to use Python for Data Science
12:44
VScode profile, extensions and themes for Python
06:31
Files and Folders management in VScode
09:37
GitBash and miniconda | Integration | Solutions
07:35
miniConda | Environments and Installations | A complete Guide
22:07
Day-3
0/9
What we have learned so far and updates about the course
06:34
Python for Data Science and popularity of python
14:22
Important Logins to make for Python for Data Science
13:09
Access GitHub student or teacher developer pack
00:55
Naming conventions and rules for Python for Data Scientists
16:20
Ads in videos and Website
00:59
Jupyter notebooks | .ipynb vs. .py files
13:27
Jupyter Notebooks or .ipynb files for Data Scientists
07:32
MarkDown Language in 72 Minutes
72:00
Day-4
0/4
Variables in Python
19:38
Types of Variables in Python
23:47
Type casting in Python (1/2)
23:42
Type Casting in Python (2/2)
09:03
Day-5
0/4
Commenting in Python is important
04:58
git bash in vscode and conda in gitbash
03:44
Screen-casting mode in VSCode to show keyboard
02:29
Debugging is an art you need to learn
06:45
Day-6
0/5
Google Your Errors and Answers to most common errors
02:10
Alternatives to GitHub copilots for VScode | Blackbox and codeium
03:05
Activating GitHub copilot while in the university
01:17
Do not share any link to anyone Plzzzzzzz
00:58
Zoom Meeting (Recording) for Python ka chilla 2024 on 06 10 2024
01:11:42
Day-7
0/3
Windows screenshots and Screen Recording tool free
03:50
When to use which variable or data structure in python
10:50
Data Structures in Python | Complete Guide
35:50
Day-8
0/5
AI Pioneers Win Nobel Prize in Physics 2024: Revolutionizing Machine Learning and Neural Network
13:08
Sequences in python
21:57
Indexing in Python
25:11
Slicing in Python
06:02
Mutable elements in Python
06:04
Day-9
0/3
Range Function in python
02:26
TWO Nobel Prizes to AI
19:07
gitbash as default terminal in vscode
01:44
Day-10
0/7
Maslay hal kar deay gaye hyn
03:54
Control Flow Statements in Python
20:06
Audience desi examples of Control Flow Statements
03:09
If else and elif control flow statements in python
17:35
Conditional and relational operators | nested if statements
21:56
Assignment alert To be submitted before next class
01:03
Questions and answer session | Zoom Meeting
05:08
Day-11
0/5
for and while loops
15:15
break, continue and pass statements
08:45
Infinite loop in python | Beware of infinite loops
10:00
Try, Except and finally statements
05:16
Summary of control flow statements and assignment
02:34
Day-12
0/2
Convert notebook to pdf | step by step guide with error handling (uncut version)
23:29
Functions in Python
26:22
Day-13
0/3
Lambda Functions in python
22:32
user input in python
24:31
gitbash and conda in vscode
01:44
Day-14
0/1
Future of Data Science | A podcast with Dr. Zeeshan ul Hassan Usmani
57:50
Day-15
0/5
Top nine methods of using print( ) functions in python
41:55
Tip to improve communication
01:25
Generators in Python
13:34
Introductions to libraries in python
22:12
Social media presence is important for data Scientist
06:12
Day-16 (No lectures- Take Rest/Revise and enjoy the day)
Day-17
0/2
PyPI , pip and famous libraries in python
04:25
Step-by-Step Installation of libraries in conda environments
16:33
Day-18
0/1
Top five libraries of Python for Data Analysts
08:17
Python Ka Chilla 2024
About Lesson

Note: These class timings are only from 01.10.2024-20.12.2024

If you registered later or viewing this course later, please learn at your own pace in LMS.

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Naved Shahid 2 weeks ago
This is great way of teaching
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