Udemy - Python for Engineers and Scientists basic to advanced (8.2024)

Creation Time	Oct. 31, 2025, 6:24 p.m.
Last Access Time	Oct. 31, 2025, 6:31 p.m.
File Size	12.6 GB
Keywords	and for Python basic - Udemy 2024 to Scientists 8 advanced Engineers
Total Requests	4
Total Files	240
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9 - 10. Numpy/3 -10.3 Array Creation.mp4 321.9 MB
10 - 11. Pandas/7 -11.7 Data Cleaning - Preprocessing.mp4 284.5 MB
1 - Introduction/2 -Installation of Anaconda - common users.mp4 276.2 MB
9 - 10. Numpy/1 -10.1 Arrays.mp4 265.5 MB
10 - 11. Pandas/4 -11.4 Reading and Writing Files.mp4 257.6 MB
3 - 3. Control Flow/1 -3.1 Conditional Structures.mp4 241.1 MB
2 - 2. Python Fundamentals/5 -2.5 Collections.mp4 241.1 MB
4 - 4. Data Structures/1 -4.1 Methods for Lists.mp4 239.5 MB
10 - 11. Pandas/2 -11.2 DataFrame.mp4 236.2 MB
4 - 4. Data Structures/8 -4.8 Dictionary Methods.mp4 219.6 MB
12 - 13. Sympy/4 -13.4 Solvers (Algebraic, Linear and Nonlinear Systems).mp4 213.6 MB
3 - 3. Control Flow/4 -3.4 Boolean Operations.mp4 210.2 MB
10 - 11. Pandas/1 -11.1 Series.mp4 208.2 MB
9 - 10. Numpy/7 -10.7 Array Indexing and Slicing.mp4 203.7 MB
7 - 7. Texts and Files/2 -7.2 String Methods.mp4 195.2 MB
7 - 7. Texts and Files/4 -7.4 Reading and Writing Files.mp4 194.9 MB
10 - 11. Pandas/3 -11.3 Basic Methods for DataFrames.mp4 187.3 MB
2 - 2. Python Fundamentals/1 -2.1 Built-in types.mp4 175.9 MB
11 - 12. Graphics with Matplotlib pyplot/1 -12.1 Pyplot and Graphical Elements.mp4 171.9 MB
5 - 5. Functions/1 -5.1 Functions.mp4 171.7 MB
10 - 11. Pandas/8 -11.8 Join Method.mp4 169.2 MB
1 - Introduction/7 -Execution - Jupyter notebook and colab.mp4 168.9 MB
11 - 12. Graphics with Matplotlib pyplot/2 -12.2 Subplots.mp4 166.3 MB
2 - 2. Python Fundamentals/4 -2.4 Boolean values (bool).mp4 164.6 MB
10 - 11. Pandas/10 -11.10 Pivot Table.mp4 162.2 MB
3 - 3. Control Flow/2 -3.2 Loop Structures for.mp4 161.7 MB
2 - 2. Python Fundamentals/3 -2.3 Basic operations with strings (texts).mp4 157.3 MB
7 - 7. Texts and Files/1 -7.1 String Operations.mp4 154.1 MB
3 - 3. Control Flow/5 -3.5 Other Ways to Generate Booleans isinstance(), in, is.mp4 152.7 MB
4 - 4. Data Structures/3 -4.3 List Indexing and Slicing.mp4 152.2 MB
11 - 12. Graphics with Matplotlib pyplot/5 -12.5 Surface Plots.mp4 151.1 MB
12 - 13. Sympy/1 -13.1 Basic Operations.mp4 149.4 MB
1 - Introduction/1 -Introduction - course overview.mp4 147.4 MB
2 - 2. Python Fundamentals/2 -2.2 Basic math operations.mp4 147.1 MB
10 - 11. Pandas/9 -11.9 concat Function.mp4 146.0 MB
6 - 6. Object-Oriented Programming/1 -6.1 Introduction to OOP (object-oriented programming).mp4 144.2 MB
10 - 11. Pandas/5 -11.5 Selecting Rows and Columns with loc and iloc.mp4 141.9 MB
3 - 3. Control Flow/7 -3.7 enumerate().mp4 137.4 MB
9 - 10. Numpy/6 -10.6 Statistical Methods for Arrays.mp4 136.8 MB
4 - 4. Data Structures/7 -4.7 Set Operations.mp4 136.1 MB
9 - 10. Numpy/8 -10.8 Matrices in Numpy.mp4 135.9 MB
8 - 8 Error handling/3 -8.3 Try, Except Error.mp4 135.8 MB
11 - 12. Graphics with Matplotlib pyplot/3 -12.3 Bar Plot.mp4 134.3 MB
1 - Introduction/3 -Installation of pure Python - advanced users (pip install).mp4 134.3 MB
6 - 6. Object-Oriented Programming/2 -6.2 Inheritance and Polymorphism.mp4 132.5 MB
1 - Introduction/5 -Execution - cmd and ipython basic execution.mp4 129.7 MB
10 - 11. Pandas/6 -11.6 Filters.mp4 128.1 MB
9 - 10. Numpy/2 -10.2 Math functions.mp4 125.5 MB
12 - 13. Sympy/2 -13.2 Matrices.mp4 125.5 MB
3 - 3. Control Flow/3 -3.3 Loop Structures while.mp4 122.9 MB
7 - 7. Texts and Files/3 -7.3 String Formatting.mp4 121.2 MB
8 - 8 Error handling/4 -8.4 Custom Exceptions.mp4 120.0 MB
8 - 8 Error handling/1 -8.1 Try and Except Statements.mp4 119.9 MB
1 - Introduction/6 -Execution - Spyder.mp4 115.8 MB
9 - 10. Numpy/4 -10.4 Basic Operations with Arrays.mp4 115.5 MB
9 - 10. Numpy/9 -10.9 Vectors.mp4 111.6 MB
11 - 12. Graphics with Matplotlib pyplot/4 -12.4 Pie Chart.mp4 109.6 MB
9 - 10. Numpy/5 -10.5 Numpy Memory Management.mp4 105.0 MB
5 - 5. Functions/3 -5.3 args.mp4 103.0 MB
4 - 4. Data Structures/6 -4.6 Methods for Sets.mp4 102.3 MB
12 - 13. Sympy/3 -13.3 Calculus Functions.mp4 100.3 MB
7 - 7. Texts and Files/8 -E7.4 - Exercise.mp4 93.1 MB
4 - 4. Data Structures/2 -4.2 List Comprehensions.mp4 90.7 MB
7 - 7. Texts and Files/7 -E7.3 - Exercise.mp4 90.7 MB
5 - 5. Functions/5 -5.5 Docstring.mp4 89.4 MB
4 - 4. Data Structures/13 -E4.3 - Exercise.mp4 85.7 MB
10 - 11. Pandas/11 -E11.1 - Exercise.mp4 85.0 MB
7 - 7. Texts and Files/6 -E7.2 - Exercise.mp4 84.9 MB
4 - 4. Data Structures/5 -4.5 Tuple Unpacking.mp4 84.3 MB
4 - 4. Data Structures/4 -4.4 Methods for Tuples.mp4 81.0 MB
12 - 13. Sympy/6 -E13.1 - Exercise.mp4 79.6 MB
5 - 5. Functions/2 -5.2 Functions and Keyword (Named) Arguments.mp4 74.3 MB
3 - 3. Control Flow/11 -E3.4 - Exercise.mp4 71.1 MB
12 - 13. Sympy/13 -E13.8 - Exercise.mp4 70.9 MB
3 - 3. Control Flow/6 -3.6 Iterables.mp4 69.1 MB
8 - 8 Error handling/2 -8.2 Python's Built-in Exceptions.mp4 68.9 MB
4 - 4. Data Structures/9 -4.9 any and all.mp4 68.8 MB
4 - 4. Data Structures/10 -4.10 zip.mp4 64.5 MB
13 - 14. Scipy/3 -14.3 Eigenvalues and Eigenvectors.mp4 62.4 MB
3 - 3. Control Flow/8 -E3.1 - Exercise.mp4 61.6 MB
10 - 11. Pandas/12 -E11.2 - Exercise.mp4 60.8 MB
13 - 14. Scipy/5 -14.5 Differential equations ODE.mp4 60.7 MB
12 - 13. Sympy/12 -E13.7 - Exercise.mp4 60.6 MB
5 - 5. Functions/6 -5.6 Lambda Functions.mp4 59.3 MB
7 - 7. Texts and Files/5 -E7.1 - Exercise.mp4 56.9 MB
4 - 4. Data Structures/11 -E4.1 - Exercise.mp4 54.5 MB
1 - Introduction/4 -Download the course lectures.mp4 53.2 MB
5 - 5. Functions/4 -5.4 kwargs.mp4 50.4 MB
4 - 4. Data Structures/15 -E4.5 - Exercise.mp4 50.3 MB
3 - 3. Control Flow/12 -E3.5 - Exercise.mp4 49.7 MB
4 - 4. Data Structures/14 -E4.4 - Exercise.mp4 49.7 MB
13 - 14. Scipy/11 -E14.6 - Exercise.mp4 48.4 MB
13 - 14. Scipy/1 -14.1 Matrix Functions.mp4 46.4 MB
12 - 13. Sympy/9 -E13.4 - Exercise.mp4 44.1 MB
4 - 4. Data Structures/16 -E4.6 - Exercise.mp4 43.5 MB
13 - 14. Scipy/6 -E14.1 - Exercise.mp4 42.1 MB
3 - 3. Control Flow/10 -E3.3 - Exercise.mp4 41.8 MB
3 - 3. Control Flow/13 -E3.6 - Exercise.mp4 39.1 MB
12 - 13. Sympy/5 -13.5 Solver (Differential Equations).mp4 35.1 MB
9 - 10. Numpy/12 -E10.3 - Exercise.mp4 34.6 MB
13 - 14. Scipy/4 -14.4 Integral.mp4 34.5 MB
13 - 14. Scipy/2 -14.2 Linear Systems.mp4 32.5 MB
3 - 3. Control Flow/9 -E3.2 - Exercise.mp4 31.6 MB
4 - 4. Data Structures/12 -E4.2 - Exercise.mp4 30.6 MB
9 - 10. Numpy/11 -E10.2 - Exercise.mp4 27.7 MB
5 - 5. Functions/8 -E5.2 - Exercise.mp4 25.7 MB
9 - 10. Numpy/13 -E10.4 - Exercise.mp4 19.6 MB
5 - 5. Functions/9 -E5.mp4 18.9 MB
13 - 14. Scipy/7 -E14.2 - Exercise.mp4 18.7 MB
13 - 14. Scipy/9 -E14.4 - Exercise.mp4 18.2 MB
9 - 10. Numpy/10 -E10.1 - Exercise.mp4 18.1 MB
5 - 5. Functions/7 -E5.1 - Exercise.mp4 17.8 MB
12 - 13. Sympy/11 -E13.6 - Exercise.mp4 17.4 MB
12 - 13. Sympy/7 -E13.2 - Exercise.mp4 16.2 MB
13 - 14. Scipy/10 -E14.5 - Exercise.mp4 12.9 MB
5 - 5. Functions/9 -E5.3 - Exercise.mp4 12.0 MB
12 - 13. Sympy/8 -E13.3 - Exercise.mp4 11.4 MB
12 - 13. Sympy/10 -E13.5 - Exercise.mp4 9.9 MB
13 - 14. Scipy/8 -E14.3 - Exercise.mp4 7.6 MB
9 - 10. Numpy/3 -10.3 Array Creation.vtt 21.8 KB
10 - 11. Pandas/7 -11.7 Data Cleaning - Preprocessing.vtt 20.9 KB
10 - 11. Pandas/4 -11.4 Reading and Writing Files.vtt 20.2 KB
1 - Introduction/2 -Installation of Anaconda - common users.vtt 19.2 KB
10 - 11. Pandas/2 -11.2 DataFrame.vtt 17.0 KB
9 - 10. Numpy/1 -10.1 Arrays.vtt 17.0 KB
4 - 4. Data Structures/1 -4.1 Methods for Lists.vtt 16.2 KB
2 - 2. Python Fundamentals/5 -2.5 Collections.vtt 16.0 KB
4 - 4. Data Structures/8 -4.8 Dictionary Methods.vtt 15.4 KB
12 - 13. Sympy/4 -13.4 Solvers (Algebraic, Linear and Nonlinear Systems).vtt 15.4 KB
3 - 3. Control Flow/1 -3.1 Conditional Structures.vtt 15.0 KB
10 - 11. Pandas/1 -11.1 Series.vtt 15.0 KB
10 - 11. Pandas/3 -11.3 Basic Methods for DataFrames.vtt 14.7 KB
9 - 10. Numpy/7 -10.7 Array Indexing and Slicing.vtt 14.6 KB
2 - 2. Python Fundamentals/2 -2.2 Basic math operations.vtt 13.2 KB
7 - 7. Texts and Files/4 -7.4 Reading and Writing Files.vtt 13.2 KB
13 - 14. Scipy/5 -14.5 Differential equations ODE.vtt 12.8 KB
3 - 3. Control Flow/4 -3.4 Boolean Operations.vtt 12.7 KB
10 - 11. Pandas/8 -11.8 Join Method.vtt 12.7 KB
12 - 13. Sympy/13 -E13.8 - Exercise.vtt 12.6 KB
11 - 12. Graphics with Matplotlib pyplot/1 -12.1 Pyplot and Graphical Elements.vtt 12.4 KB
11 - 12. Graphics with Matplotlib pyplot/2 -12.2 Subplots.vtt 12.3 KB
2 - 2. Python Fundamentals/1 -2.1 Built-in types.vtt 12.3 KB
10 - 11. Pandas/10 -11.10 Pivot Table.vtt 12.2 KB
7 - 7. Texts and Files/2 -7.2 String Methods.vtt 12.0 KB
12 - 13. Sympy/12 -E13.7 - Exercise.vtt 11.7 KB
1 - Introduction/7 -Execution - Jupyter notebook and colab.vtt 11.7 KB
2 - 2. Python Fundamentals/3 -2.3 Basic operations with strings (texts).vtt 11.3 KB
13 - 14. Scipy/3 -14.3 Eigenvalues and Eigenvectors.vtt 11.2 KB
2 - 2. Python Fundamentals/4 -2.4 Boolean values (bool).vtt 10.9 KB
5 - 5. Functions/1 -5.1 Functions.vtt 10.8 KB
1 - Introduction/1 -Introduction - course overview.vtt 10.6 KB
11 - 12. Graphics with Matplotlib pyplot/5 -12.5 Surface Plots.vtt 10.6 KB
12 - 13. Sympy/1 -13.1 Basic Operations.vtt 10.5 KB
4 - 4. Data Structures/3 -4.3 List Indexing and Slicing.vtt 10.5 KB
9 - 10. Numpy/6 -10.6 Statistical Methods for Arrays.vtt 10.4 KB
10 - 11. Pandas/9 -11.9 concat Function.vtt 10.4 KB
10 - 11. Pandas/5 -11.5 Selecting Rows and Columns with loc and iloc.vtt 10.1 KB
11 - 12. Graphics with Matplotlib pyplot/3 -12.3 Bar Plot.vtt 9.9 KB
3 - 3. Control Flow/2 -3.2 Loop Structures for.vtt 9.7 KB
10 - 11. Pandas/6 -11.6 Filters.vtt 9.6 KB
4 - 4. Data Structures/7 -4.7 Set Operations.vtt 9.6 KB
9 - 10. Numpy/8 -10.8 Matrices in Numpy.vtt 9.6 KB
12 - 13. Sympy/2 -13.2 Matrices.vtt 9.6 KB
13 - 14. Scipy/11 -E14.6 - Exercise.vtt 9.6 KB
6 - 6. Object-Oriented Programming/1 -6.1 Introduction to OOP (object-oriented programming).vtt 9.4 KB
7 - 7. Texts and Files/1 -7.1 String Operations.vtt 9.3 KB
12 - 13. Sympy/9 -E13.4 - Exercise.vtt 9.1 KB
3 - 3. Control Flow/5 -3.5 Other Ways to Generate Booleans isinstance(), in, is.vtt 9.0 KB
1 - Introduction/3 -Installation of pure Python - advanced users (pip install).vtt 8.7 KB
1 - Introduction/5 -Execution - cmd and ipython basic execution.vtt 8.7 KB
8 - 8 Error handling/3 -8.3 Try, Except Error.vtt 8.6 KB
9 - 10. Numpy/2 -10.2 Math functions.vtt 8.4 KB
6 - 6. Object-Oriented Programming/2 -6.2 Inheritance and Polymorphism.vtt 8.4 KB
1 - Introduction/6 -Execution - Spyder.vtt 7.9 KB
7 - 7. Texts and Files/3 -7.3 String Formatting.vtt 7.9 KB
3 - 3. Control Flow/7 -3.7 enumerate().vtt 7.9 KB
9 - 10. Numpy/4 -10.4 Basic Operations with Arrays.vtt 7.8 KB
4 - 4. Data Structures/6 -4.6 Methods for Sets.vtt 7.7 KB
13 - 14. Scipy/6 -E14.1 - Exercise.vtt 7.6 KB
12 - 13. Sympy/5 -13.5 Solver (Differential Equations).vtt 7.6 KB
13 - 14. Scipy/1 -14.1 Matrix Functions.vtt 7.6 KB
8 - 8 Error handling/4 -8.4 Custom Exceptions.vtt 7.5 KB
13 - 14. Scipy/4 -14.4 Integral.vtt 7.4 KB
12 - 13. Sympy/3 -13.3 Calculus Functions.vtt 7.3 KB
9 - 10. Numpy/9 -10.9 Vectors.vtt 7.3 KB
8 - 8 Error handling/1 -8.1 Try and Except Statements.vtt 7.3 KB
11 - 12. Graphics with Matplotlib pyplot/4 -12.4 Pie Chart.vtt 7.2 KB
9 - 10. Numpy/5 -10.5 Numpy Memory Management.vtt 7.2 KB
3 - 3. Control Flow/3 -3.3 Loop Structures while.vtt 7.2 KB
4 - 4. Data Structures/2 -4.2 List Comprehensions.vtt 6.5 KB
5 - 5. Functions/3 -5.3 args.vtt 6.4 KB
7 - 7. Texts and Files/7 -E7.3 - Exercise.vtt 6.2 KB
12 - 13. Sympy/6 -E13.1 - Exercise.vtt 6.2 KB
7 - 7. Texts and Files/8 -E7.4 - Exercise.vtt 6.1 KB
10 - 11. Pandas/11 -E11.1 - Exercise.vtt 5.9 KB
4 - 4. Data Structures/4 -4.4 Methods for Tuples.vtt 5.5 KB
7 - 7. Texts and Files/6 -E7.2 - Exercise.vtt 5.3 KB
4 - 4. Data Structures/5 -4.5 Tuple Unpacking.vtt 5.3 KB
4 - 4. Data Structures/13 -E4.3 - Exercise.vtt 5.3 KB
4 - 4. Data Structures/9 -4.9 any and all.vtt 5.1 KB
5 - 5. Functions/5 -5.5 Docstring.vtt 5.1 KB
3 - 3. Control Flow/6 -3.6 Iterables.vtt 4.8 KB
3 - 3. Control Flow/11 -E3.4 - Exercise.vtt 4.7 KB
5 - 5. Functions/2 -5.2 Functions and Keyword (Named) Arguments.vtt 4.5 KB
13 - 14. Scipy/2 -14.2 Linear Systems.vtt 4.5 KB
10 - 11. Pandas/12 -E11.2 - Exercise.vtt 4.2 KB
4 - 4. Data Structures/10 -4.10 zip.vtt 4.2 KB
8 - 8 Error handling/2 -8.2 Python's Built-in Exceptions.vtt 4.1 KB
12 - 13. Sympy/11 -E13.6 - Exercise.vtt 3.9 KB
3 - 3. Control Flow/8 -E3.1 - Exercise.vtt 3.8 KB
12 - 13. Sympy/7 -E13.2 - Exercise.vtt 3.8 KB
4 - 4. Data Structures/11 -E4.1 - Exercise.vtt 3.8 KB
1 - Introduction/4 -Download the course lectures.vtt 3.7 KB
5 - 5. Functions/6 -5.6 Lambda Functions.vtt 3.7 KB
13 - 14. Scipy/9 -E14.4 - Exercise.vtt 3.7 KB
4 - 4. Data Structures/14 -E4.4 - Exercise.vtt 3.6 KB
3 - 3. Control Flow/12 -E3.5 - Exercise.vtt 3.4 KB
7 - 7. Texts and Files/5 -E7.1 - Exercise.vtt 3.4 KB
5 - 5. Functions/4 -5.4 kwargs.vtt 3.2 KB
13 - 14. Scipy/7 -E14.2 - Exercise.vtt 3.1 KB
4 - 4. Data Structures/16 -E4.6 - Exercise.vtt 3.1 KB
4 - 4. Data Structures/15 -E4.5 - Exercise.vtt 3.1 KB
12 - 13. Sympy/8 -E13.3 - Exercise.vtt 2.8 KB
13 - 14. Scipy/10 -E14.5 - Exercise.vtt 2.8 KB
3 - 3. Control Flow/13 -E3.6 - Exercise.vtt 2.6 KB
3 - 3. Control Flow/10 -E3.3 - Exercise.vtt 2.6 KB
9 - 10. Numpy/12 -E10.3 - Exercise.vtt 2.3 KB
4 - 4. Data Structures/12 -E4.2 - Exercise.vtt 2.3 KB
3 - 3. Control Flow/9 -E3.2 - Exercise.vtt 2.0 KB
12 - 13. Sympy/10 -E13.5 - Exercise.vtt 2.0 KB
9 - 10. Numpy/11 -E10.2 - Exercise.vtt 1.7 KB
5 - 5. Functions/8 -E5.2 - Exercise.vtt 1.6 KB
13 - 14. Scipy/8 -E14.3 - Exercise.vtt 1.4 KB
9 - 10. Numpy/13 -E10.4 - Exercise.vtt 1.3 KB
9 - 10. Numpy/10 -E10.1 - Exercise.vtt 1.3 KB
5 - 5. Functions/7 -E5.1 - Exercise.vtt 1.1 KB
5 - 5. Functions/9 -E5.3 - Exercise.vtt 612 bytes
5 - 5. Functions/9 -E5.vtt 502 bytes
8 - 8 Error handling/5 - This section is a placeholder.html 354 bytes
6 - 6. Object-Oriented Programming/3 - The rest of the section is a placeholder.html 329 bytes

Udemy - Python for Engineers and Scientists basic to advanced (8.2024)

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