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Contents

1.1: Python for Data Engineering
1.2: Important Note [ Mandatory ] Mandatory

2.1: Join Discord for doubt clearing support & networking
2.2: Setting Video Resolution and Video Speed Globally

3.1: Python Installation - Windows
3.2: Python Installation - Linux
3.3: Python Installation - Mac
3.4: How to Download Code and Get Help If I Have a Question?

4.1: Variables
4.2: Numbers
4.3: Strings
4.4: Strings - Exercise
4.5: Quiz: Variables, Numbers and Strings
4.6: Peter shares his Coding Fear with Tony
4.7: Exercise: Variables, Numbers and Strings
4.8: Chapter Summary

5.1: Lists
5.2: Install Pycharm
5.3: If Condition
5.4: For Loop
5.5: Quiz: Lists, If Condition and For Loop
5.6: Peter Found Something Interesting to Practice
5.7: Exercise: Lists, If Condition and For Loop
5.8: Chapter Summary

6.1: Functions
6.2: Dictionary and Tuples
6.3: Modules and Pip
6.4: File Handling
6.5: Quiz: Functions, Dictionaries, Tuples and File Handling
6.6: Peter’s Request to Tony
6.7: Exercise: Functions, Dictionaries, Tuples and File Handling
6.8: Two Deadly Viruses Infecting Learners
6.9: Chapter Summary

7.1: Classes and Objects
7.2: Exception Handling
7.3: __main__ Function
7.4: Quiz: Classes, Exception Handling
7.5: Using Python in a Real Time Problem
7.6: Exercise: Classes and Exception Handling
7.7: Chapter Summary

8.1: Pandas Introduction and Installation
8.2: Dataframe Basics
8.3: Read, Write Excel and CSV Files
8.4: Handle NA values - Part 1
8.5: Handle NA values - Part 2
8.6: Group by
8.7: Concat and Merge
8.8: Data Visualization Using Matplotlib and Seaborn
8.9: Quiz: EDA using Python

9.1: Working with JSON
9.2: What is API?
9.3: Calling APIs With requests Package
9.4: Building APIs With FastAPI
9.5: Quiz: APIs
9.6: Peter fetches data using APIs
9.7: Exercise: APIs
9.8: Chapter Summary

10.1: Logging
10.2: Automated Testing with Pytest
10.3: MySQL Setup: Windows
10.4: MySQL Setup: Linux, Mac
10.5: Working with MySQL in Python
10.6: Data Validation with Pydantic
10.7: Quiz: Logging, Pytest, Pydantic and Databases
10.8: Exercise: Pytest, Pydantic
10.9: Chapter Summary

11.1: Final Quiz

12.1: Step Into the Practice Room (Python)

Instructor

Dhaval Patel

Dhaval Patel

Data Entrepreneur | YouTuber | Ex - Bloomberg, Nvidia

I have 17 years of experience in Programming and Data Science working for big tech companies like NVIDIA and Bloomberg. I also run a famous YouTube channel called Codebasics where I pursue my passion for teaching. Codebasics is one of the top channels on YouTube when it comes to data science, machine learning, data structures, etc. I firmly believe that “Anyone can code” and I use analogies, simple explanations, and step-by-step storytelling to explain difficult concepts in such a way that even a high school student can understand them easily.

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