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Python Programming Basics Lecture Notes
Nov 8, 2024
Lecture Notes
Introduction
Good evening, everyone.
Welcoming new attendees.
Technical checks for voice clarity and connection issues.
Class Overview
Today's focus is on Python programming basics.
Recording of previous sessions available for new students.
Key Points Covered
1. Class Logistics
Backup classes will be provided for those joining for the first time.
Students are encouraged to install Anaconda for Python programming.
2. Course Structure
First Point:
Recording and retaking previous classes.
Second Point:
Anaconda installation for data analytics and business analysis.
Third Point:
Python program will start today.
Google Classroom Access:
Required for enrolled students.
3. Prerequisites for Course
Dedication, consistency, and a willingness to learn.
No prior coding or math knowledge required for data analytics.
4. Benefits of Data Analytics
Global opportunities and ease of understanding code.
Data never sleeps, implying continuous data flow in businesses.
5. Course Content
Topics to be covered include:
Python
SQL
Statistics
Power BI
Excel
Introduction to GitHub and Cloud platforms.
6. Course Fees
Basic course fee: 15K without recording, 21K with recording.
Installation of Python
Anaconda Installation Steps:
Go to Google, search for "Anaconda Python".
Select the first link and download the installer.
Minimum requirements: Windows 10, 64-bit, 5GB free space.
Practical Session
1. Introduction to Python
Start with basic arithmetic and use of print statements.
Use Google Colab if software installation is unavailable.
2. Working with Numbers
Perform basic operations: addition, subtraction, multiplication, and division.
Understand float vs integer division.
3. Variables and Data Types
Introduction to variables and syntax:
Example:
a = 10
,
b = 20
,
c = a + b
Discuss how to check the Python version using
import sys
.
4. Functions in Python
Understand the difference between functions and variables.
Functions require parentheses, while variables do not.
Example of a function:
def add(x, y): return x + y
.
Conclusion
Emphasis on practice and understanding the logic behind Python coding.
Next class will cover data types and variables in detail.
Reminder for students to complete their software installations and engage in practical coding exercises.
Additional Notes
Class duration: Monday to Saturday, 5:30 PM to 7:30 PM.
Fourth Saturday is a holiday.
For questions, students can reach out to the mentor or admins.
📄
Full transcript