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Please note that this page does not hosts or makes available any of the listed filenames. You
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| 1 -Classes and Objects.ipynb |
10.63KB |
| 1 -Classes and Objects.ipynb |
10.63KB |
| 1 -End to End Data Preprocessing Pipeline.mp4 |
452.48MB |
| 1 -File handling.ipynb |
7.91KB |
| 1 -How to take input from the user.mp4 |
19.12MB |
| 1 -Introduction to API and how to create in Flask.mp4 |
17.63MB |
| 1 -Introduction to Classes and Objects.mp4 |
26.25MB |
| 1 -Introduction to Command Line Argument.mp4 |
4.17MB |
| 1 -Introduction to Conditional Statement.mp4 |
29.83MB |
| 1 -Introduction to Databases.mp4 |
2.28MB |
| 1 -Introduction to Decorators.mp4 |
14.47MB |
| 1 -Introduction to File Handling.mp4 |
76.41MB |
| 1 -Introduction to functions.mp4 |
42.51MB |
| 1 -Introduction to Jupyter notebook.mp4 |
23.74MB |
| 1 -Introduction to Lambda functions and Higher Order function.mp4 |
39.09MB |
| 1 -Introduction to Logging.mp4 |
11.34MB |
| 1 -Introduction to looping statements.mp4 |
30.31MB |
| 1 -Introduction to Operators.mp4 |
52.75MB |
| 1 -Introduction to Pydantic and practical.mp4 |
13.81MB |
| 1 -Introduction to Python.mp4 |
18.10MB |
| 1 -Introduction to regular expression.mp4 |
94.98MB |
| 1 -Introduction to Testing in Python.mp4 |
23.35MB |
| 1 -Introduction to Variable.mp4 |
17.81MB |
| 1 -Introduction to virtual environment and how do you create one.mp4 |
18.79MB |
| 1 -logging.ipynb |
1.10KB |
| 1 -Numbers and Strings.mp4 |
76.55MB |
| 1 -Numpy.ipynb |
4.31MB |
| 1 -Numpy.mp4 |
124.43MB |
| 1 -Object Oriented Programming.mp4 |
97.13MB |
| 1 -Python.ipynb |
102.29KB |
| 1 -Python.ipynb |
102.29KB |
| 1 -Python.ipynb |
102.29KB |
| 1 -Python.ipynb |
102.29KB |
| 1 -Python.ipynb |
102.29KB |
| 1 -Python.ipynb |
102.29KB |
| 1 -Python.ipynb |
102.29KB |
| 1 -Python.ipynb |
102.29KB |
| 1 -Python.ipynb |
102.29KB |
| 1 -Python Installation.mp4 |
10.90MB |
| 2 -Advance testing in Python.mp4 |
16.44MB |
| 2 -CMD1.py |
164B |
| 2 -CRUD Operations in Python.mp4 |
54.04MB |
| 2 -Databases.ipynb |
24.41KB |
| 2 -Debugging.ipynb |
5.85KB |
| 2 -End to End Exploratory Data Preprocessing Pipeline- Part 1.mp4 |
192.49MB |
| 2 -Exception Handling.ipynb |
7.31KB |
| 2 -How to deal with large dataset.ipynb |
23.71KB |
| 2 -How to process 100GBs of Data in Seconds.mp4 |
69.75MB |
| 2 -Introduction to Array.mp4 |
18.88MB |
| 2 -Introduction to Django.mp4 |
20.68MB |
| 2 -Introduction to Exception Handling.mp4 |
24.18MB |
| 2 -Introduction to Generators.mp4 |
10.40MB |
| 2 -Introduction to keyword.mp4 |
6.90MB |
| 2 -Introduction to Zip.mp4 |
7.11MB |
| 2 -Introduiction to Debugging.mp4 |
29.62MB |
| 2 -Pandas (Series and DataFrames).mp4 |
25.36MB |
| 2 -Project- Scrapping data from websites in a simple manner.mp4 |
32.77MB |
| 2 -Python.ipynb |
102.29KB |
| 2 -Scrapping_data_from_websites (1).ipynb |
121.29KB |
| 2 -SYS Library.mp4 |
15.24MB |
| 2 -Types of Functions.mp4 |
26.93MB |
| 3 -Advanced debugging.mp4 |
10.58MB |
| 3 -Argument Parser Library.mp4 |
23.26MB |
| 3 -Case Study- How to process a large CSV files.mp4 |
24.29MB |
| 3 -Case Study- How to process large CSV files.ipynb |
1.63MB |
| 3 -CMD2.py |
393B |
| 3 -Common pandas functions.mp4 |
43.55MB |
| 3 -Databases.ipynb |
24.41KB |
| 3 -End to End Exploratory Data Analysis Pipeline- Part 2.mp4 |
190.56MB |
| 3 -Function Overloading and Function Overriding.mp4 |
11.99MB |
| 3 -How_to_accelerate_the_performance_of_Python_code (1).ipynb |
24.74KB |
| 3 -How to accelerate the performance of Python code.mp4 |
85.32MB |
| 3 -How to create an API in Django.mp4 |
92.13MB |
| 3 -Indexes in Python.mp4 |
9.73MB |
| 3 -Introduction to Comments.mp4 |
5.73MB |
| 3 -Introduction to List.mp4 |
23.89MB |
| 4 -Databases.ipynb |
24.41KB |
| 4 -End to End Exploratory Data Analysis Pipeline- Part 3.mp4 |
270.46MB |
| 4 -How to install python libraries at 10-100x faster than pip.mp4 |
11.38MB |
| 4 - Important API's that every Python developer should know.html |
4.06KB |
| 4 -Joins in Python.mp4 |
48.10MB |
| 4 -List Comphrension.mp4 |
12.55MB |
| 4 -Pandas plotting functions.mp4 |
50.00MB |
| 5 -Automate Data Cleaning and EDA in just 3 lines of code.mp4 |
128.93MB |
| 5 -Case Study- How to deal with the nested json files.mp4 |
30.67MB |
| 5 -Constraint in Python.mp4 |
34.60MB |
| 5 -Databases.ipynb |
24.41KB |
| 5 -How to open a terminal in Google colab or Jupyter Notebook.mp4 |
6.00MB |
| 5 -Introduction to Tuple.mp4 |
16.47MB |
| 6 -Introduction to Dictionary.mp4 |
19.95MB |
| 6 -Matplotlib.ipynb |
273.40KB |
| 6 -Matplotlib.mp4 |
101.23MB |
| 7 -Introduction to Sets.mp4 |
25.03MB |
| 7 -Seaborn.ipynb |
281.47KB |
| 7 -Seaborn.mp4 |
82.29MB |
| 8 -Plotly.mp4 |
123.33MB |
| 9 -How to automatically visualize any dataset in one line.mp4 |
20.97MB |
| Bonus Resources.txt |
70B |
| Get Bonus Downloads Here.url |
180B |