Udemy - Master Python Programming in 30 days (2025)
- CategoryOther
- TypeTutorials
- LanguageEnglish
- Total size3.3 GB
- Uploaded Byfreecoursewb
- Downloads64
- Last checkedApr. 04th '25
- Date uploadedApr. 04th '25
- Seeders 1
- Leechers51
Infohash : 72EAA97BF0FD9C39ACE96F27771F35FE7084EB36
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
Files:
[ WebToolTip.com ] Udemy - Master Python Programming in 30 days (2025)- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1 - Introduction to Python
- 1 -Introduction to Python.mp4 (18.1 MB)
- 1 -Introduction to functions.mp4 (42.5 MB)
- 1 -Python.ipynb (102.3 KB)
- 2 -Types of Functions.mp4 (26.9 MB)
- 3 -Function Overloading and Function Overriding.mp4 (12.0 MB)
- 1 -Introduction to Lambda functions and Higher Order function.mp4 (39.1 MB)
- 1 -Python.ipynb (102.3 KB)
- 1 -Introduction to Decorators.mp4 (14.5 MB)
- 1 -Python.ipynb (102.3 KB)
- 2 -Introduction to Generators.mp4 (10.4 MB)
- 2 -Python.ipynb (102.3 KB)
- 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)
- 1 -Classes and Objects.ipynb (10.6 KB)
- 1 -Introduction to Classes and Objects.mp4 (26.2 MB)
- 1 -Classes and Objects.ipynb (10.6 KB)
- 1 -Object Oriented Programming.mp4 (97.1 MB)
- 1 -File handling.ipynb (7.9 KB)
- 1 -Introduction to File Handling.mp4 (76.4 MB)
- 2 -Exception Handling.ipynb (7.3 KB)
- 2 -Introduction to Exception Handling.mp4 (24.2 MB)
- 1 -Introduction to regular expression.mp4 (95.0 MB)
- 2 -Project- Scrapping data from websites in a simple manner.mp4 (32.8 MB)
- 2 -Scrapping_data_from_websites (1).ipynb (121.3 KB)
- 1 -Introduction to Logging.mp4 (11.3 MB)
- 1 -logging.ipynb (1.1 KB)
- 2 -Debugging.ipynb (5.8 KB)
- 2 -Introduiction to Debugging.mp4 (29.6 MB)
- 3 -Advanced debugging.mp4 (10.6 MB)
- 1 -Introduction to Testing in Python.mp4 (23.3 MB)
- 2 -Advance testing in Python.mp4 (16.4 MB)
- 1 -Introduction to Command Line Argument.mp4 (4.2 MB)
- 2 -CMD1.py (0.2 KB)
- 2 -SYS Library.mp4 (15.2 MB)
- 3 -Argument Parser Library.mp4 (23.3 MB)
- 3 -CMD2.py (0.4 KB)
- 1 -Python Installation.mp4 (10.9 MB)
- 1 -Introduction to Databases.mp4 (2.3 MB)
- 2 -CRUD Operations in Python.mp4 (54.0 MB)
- 2 -Databases.ipynb (24.4 KB)
- 3 -Databases.ipynb (24.4 KB)
- 3 -Indexes in Python.mp4 (9.7 MB)
- 4 -Databases.ipynb (24.4 KB)
- 4 -Joins in Python.mp4 (48.1 MB)
- 5 -Constraint in Python.mp4 (34.6 MB)
- 5 -Databases.ipynb (24.4 KB)
- 1 -Introduction to API and how to create in Flask.mp4 (17.6 MB)
- 2 -Introduction to Django.mp4 (20.7 MB)
- 3 -How to create an API in Django.mp4 (92.1 MB)
- 4 - Important API's that every Python developer should know.html (4.1 KB)
- 1 -Introduction to Pydantic and practical.mp4 (13.8 MB)
- 1 -Numpy.ipynb (4.3 MB)
- 1 -Numpy.mp4 (124.4 MB)
- 2 -Pandas (Series and DataFrames).mp4 (25.4 MB)
- 3 -Common pandas functions.mp4 (43.5 MB)
- 4 -Pandas plotting functions.mp4 (50.0 MB)
- 5 -Case Study- How to deal with the nested json files.mp4 (30.7 MB)
- 6 -Matplotlib.ipynb (273.4 KB)
- 6 -Matplotlib.mp4 (101.2 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 (21.0 MB)
- 1 -End to End Data Preprocessing Pipeline.mp4 (452.5 MB)
- 2 -End to End Exploratory Data Preprocessing Pipeline- Part 1.mp4 (192.5 MB)
- 3 -End to End Exploratory Data Analysis Pipeline- Part 2.mp4 (190.6 MB)
- 4 -End to End Exploratory Data Analysis Pipeline- Part 3.mp4 (270.5 MB)
- 5 -Automate Data Cleaning and EDA in just 3 lines of code.mp4 (128.9 MB)
- 1 -Introduction to virtual environment and how do you create one.mp4 (18.8 MB)
- 2 -How to deal with large dataset.ipynb (23.7 KB)
- 2 -How to process 100GBs of Data in Seconds.mp4 (69.7 MB)
- 3 -How to accelerate the performance of Python code.mp4 (85.3 MB)
- 3 -How_to_accelerate_the_performance_of_Python_code (1).ipynb (24.7 KB)
- 4 -How to install python libraries at 10-100x faster than pip.mp4 (11.4 MB)
- 5 -How to open a terminal in Google colab or Jupyter Notebook.mp4 (6.0 MB)
- 1 -Introduction to Jupyter notebook.mp4 (23.7 MB)
- 1 -Introduction to Variable.mp4 (17.8 MB)
- 1 -Python.ipynb (102.3 KB)
- 2 -Introduction to keyword.mp4 (6.9 MB)
- 3 -Introduction to Comments.mp4 (5.7 MB)
- 1 -Introduction to Operators.mp4 (52.8 MB)
- 1 -Python.ipynb (102.3 KB)
- 1 -How to take input from the user.mp4 (19.1 MB)
- 1 -Python.ipynb (102.3 KB)
- 1 -Introduction to Conditional Statement.mp4 (29.8 MB)
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