| 1 -Classes and Objects.ipynb | 10.6 KB | ||
| 1 -End to End Data Preprocessing Pipeline.mp4 | 452.5 MB | ||
| 1 -File handling.ipynb | 7.9 KB | ||
| 1 -How to take input from the user.mp4 | 19.1 MB | ||
| 1 -Introduction to API and how to create in Flask.mp4 | 17.6 MB | ||
| 1 -Introduction to Classes and Objects.mp4 | 26.2 MB | ||
| 1 -Introduction to Command Line Argument.mp4 | 4.2 MB | ||
| 1 -Introduction to Conditional Statement.mp4 | 29.8 MB | ||
| 1 -Introduction to Databases.mp4 | 2.3 MB | ||
| 1 -Introduction to Decorators.mp4 | 14.5 MB | ||
| 1 -Introduction to File Handling.mp4 | 76.4 MB | ||
| 1 -Introduction to Jupyter notebook.mp4 | 23.7 MB | ||
| 1 -Introduction to Lambda functions and Higher Order function.mp4 | 39.1 MB | ||
| 1 -Introduction to Logging.mp4 | 11.3 MB | ||
| 1 -Introduction to Operators.mp4 | 52.8 MB | ||
| 1 -Introduction to Pydantic and practical.mp4 | 13.8 MB | ||
| 1 -Introduction to Python.mp4 | 18.1 MB | ||
| 1 -Introduction to Testing in Python.mp4 | 23.3 MB | ||
| 1 -Introduction to Variable.mp4 | 17.8 MB | ||
| 1 -Introduction to functions.mp4 | 42.5 MB | ||
| 1 -Introduction to looping statements.mp4 | 30.3 MB | ||
| 1 -Introduction to regular expression.mp4 | 95 MB | ||
| 1 -Introduction to virtual environment and how do you create one.mp4 | 18.8 MB | ||
| 1 -Numbers and Strings.mp4 | 76.5 MB | ||
| 1 -Numpy.ipynb | 4.3 MB | ||
| 1 -Numpy.mp4 | 124.4 MB | ||
| 1 -Object Oriented Programming.mp4 | 97.1 MB | ||
| 1 -Python Installation.mp4 | 10.9 MB | ||
| 1 -Python.ipynb | 102.3 KB | ||
| 1 -logging.ipynb | 1.1 KB | ||
| 2 -Advance testing in Python.mp4 | 16.4 MB | ||
| 2 -CMD1.py | 204.8 B | ||
| 2 -CRUD Operations in Python.mp4 | 54 MB | ||
| 2 -Databases.ipynb | 24.4 KB | ||
| 2 -Debugging.ipynb | 5.8 KB | ||
| 2 -End to End Exploratory Data Preprocessing Pipeline- Part 1.mp4 | 192.5 MB | ||
| 2 -Exception Handling.ipynb | 7.3 KB | ||
| 2 -How to deal with large dataset.ipynb | 23.7 KB | ||
| 2 -How to process 100GBs of Data in Seconds.mp4 | 69.7 MB | ||
| 2 -Introduction to Array.mp4 | 18.9 MB | ||
| 2 -Introduction to Django.mp4 | 20.7 MB | ||
| 2 -Introduction to Exception Handling.mp4 | 24.2 MB | ||
| 2 -Introduction to Generators.mp4 | 10.4 MB | ||
| 2 -Introduction to Zip.mp4 | 7.1 MB | ||
| 2 -Introduction to keyword.mp4 | 6.9 MB | ||
| 2 -Introduiction to Debugging.mp4 | 29.6 MB | ||
| 2 -Pandas (Series and DataFrames).mp4 | 25.4 MB | ||
| 2 -Project- Scrapping data from websites in a simple manner.mp4 | 32.8 MB | ||
| 2 -Python.ipynb | 102.3 KB | ||
| 2 -SYS Library.mp4 | 15.2 MB | ||
| 2 -Scrapping_data_from_websites (1).ipynb | 121.3 KB | ||
| 2 -Types of Functions.mp4 | 26.9 MB | ||
| 3 -Advanced debugging.mp4 | 10.6 MB | ||
| 3 -Argument Parser Library.mp4 | 23.3 MB | ||
| 3 -CMD2.py | 409.6 B | ||
| 3 -Case Study- How to process a large CSV files.mp4 | 24.3 MB | ||
| 3 -Case Study- How to process large CSV files.ipynb | 1.6 MB | ||
| 3 -Common pandas functions.mp4 | 43.5 MB | ||
| 3 -Databases.ipynb | 24.4 KB | ||
| 3 -End to End Exploratory Data Analysis Pipeline- Part 2.mp4 | 190.6 MB | ||
| 3 -Function Overloading and Function Overriding.mp4 | 12 MB | ||
| 3 -How to accelerate the performance of Python code.mp4 | 85.3 MB | ||
| 3 -How to create an API in Django.mp4 | 92.1 MB | ||
| 3 -How_to_accelerate_the_performance_of_Python_code (1).ipynb | 24.7 KB | ||
| 3 -Indexes in Python.mp4 | 9.7 MB | ||
| 3 -Introduction to Comments.mp4 | 5.7 MB | ||
| 3 -Introduction to List.mp4 | 23.9 MB | ||
| 4 - Important API's that every Python developer should know.html | 4.1 KB | ||
| 4 -Databases.ipynb | 24.4 KB | ||
| 4 -End to End Exploratory Data Analysis Pipeline- Part 3.mp4 | 270.5 MB | ||
| 4 -How to install python libraries at 10-100x faster than pip.mp4 | 11.4 MB | ||
| 4 -Joins in Python.mp4 | 48.1 MB | ||
| 4 -List Comphrension.mp4 | 12.6 MB | ||
| 4 -Pandas plotting functions.mp4 | 50 MB | ||
| 5 -Automate Data Cleaning and EDA in just 3 lines of code.mp4 | 128.9 MB | ||
| 5 -Case Study- How to deal with the nested json files.mp4 | 30.7 MB | ||
| 5 -Constraint in Python.mp4 | 34.6 MB | ||
| 5 -Databases.ipynb | 24.4 KB | ||
| 5 -How to open a terminal in Google colab or Jupyter Notebook.mp4 | 6 MB | ||
| 5 -Introduction to Tuple.mp4 | 16.5 MB | ||
| 6 -Introduction to Dictionary.mp4 | 19.9 MB | ||
| 6 -Matplotlib.ipynb | 273.4 KB | ||
| 6 -Matplotlib.mp4 | 101.2 MB | ||
| 7 -Introduction to Sets.mp4 | 25 MB | ||
| 7 -Seaborn.ipynb | 281.5 KB | ||
| 7 -Seaborn.mp4 | 82.3 MB | ||
| 8 -Plotly.mp4 | 123.3 MB | ||
| 9 -How to automatically visualize any dataset in one line.mp4 | 21 MB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 99 total files | |||
Master Python Programming in 30 days (2025)
https://WebToolTip.com
Published 3/2025
Created by Abhishek kumar Singh
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 68 Lectures ( 9h 50m ) | Size: 3.33 GB
Master Python by building real time projects. Learn data science, automation, build API, websites and databases.
What you'll learn
You will be master the Python Programming by builiding the real time projects
You will be able to program in Python professionally
Be able to use Python for data science and machine learning
Be able to use Python for Automation, and API development
Requirements
No programming experience needed - I'll teach you everything you need to know
A Mac or PC computer with access to the internet
I'll walk you through, step-by-step how to get all the software installed and set up
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 1.2 GB | freecoursewb | 1 day | 7 | 11 | |
| 358.1 MB | freecoursewb | 1 day | 9 | 10 | |
| 1.4 GB | freecoursewb | 2 weeks | 0 | 0 | |
| 3.1 GB | freecoursewb | 4 weeks | 0 | 0 | |
| 723.6 MB | freecoursewb | 4 weeks | 25 | 11 |
All Comments