Python Tutorial | Learn Python with Project | Python Course
Master Python programming with this in-depth Prepzee tutorial. Learn Python with realtime Project.
In this video, we’ll walk you through the essential concepts of Python that will help you get started with coding. Whether you're a beginner or looking to refresh your skills, this session covers everything you need to know to kickstart your Python journey.
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Timecodes :
Introduction of python - 0:00 - 07:15
Installation and setup - 07:15 - 9:40
Running python scripts - 09:40 - 19:40
Variable - 19:40 - 27:00
Data type - 27:00 - 33:50
List - 33:55 - 40:40
Tuples - 40:40 - 44:10
Sets - 44:10 - 49:00
Dictionary - 49:00 - 1:06:32
Conditional statements - 1:06:32 - 1:14:32
Loops - 1:14:32 - 1:30:37
Functions - 1:30:37 - 1:37:16
Python libraries - 1:37:16 - 1:42:15
Install libraries -1:42:15 - 1:44:00
Numpy - 1:44:00 - 1:56:00
Pandas - 1:56:00 - 2:11:10
Project - 2:11:10 - 2:26:31
Agenda:
☑️ Introduction to Python: What Python is and why it's so popular.
☑️ Installation and Setup: How to install Python and set up your environment.
☑️ Running Python Scripts: Writing and executing your first Python script.
☑️ Data Types and Variables: Understanding the basic data types and how to use variables.
☑️ Dictionaries: Learn how to work with dictionaries in Python.
☑️ Operations in Python: Basic mathematical and logical operations.
☑️ Conditional Statements: Using if, else, and elif to make decisions in your code.
☑️ Loops: Mastering for and while loops for repetitive tasks.
☑️ Numpy: Introduction to Numpy, a powerful library for numerical operations.
☑️ Pandas: Understanding how to work with data using Pandas.
☑️ Project - Netflix Recommendation System: Learn how to build a recommendation system using Python, Numpy, and Pandas.
🎖️By the end of this video, you'll have a solid foundation in Python, which is crucial for Python for beginners, Python for Data Engineers, Python for Data Analysts, Python for Data Science and anyone looking to pursue Python programming in fields like data science or data engineering. This tutorial also sets a great foundation if you're planning to work on Python projects.
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