Python for Engineers and Scientists / basic to advanced [8/2024, ENG]
movies, software, shows...
Files
| 1 - Introduction | |||
| 1 -Introduction - course overview.mp4 | 147.44 MB | ||
| 1 -Introduction - course overview.vtt | 10.64 KB | ||
| 2 -Installation of Anaconda - common users.mp4 | 276.18 MB | ||
| 2 -Installation of Anaconda - common users.vtt | 19.18 KB | ||
| 3 -Installation of pure Python - advanced users (pip install).mp4 | 134.26 MB | ||
| 3 -Installation of pure Python - advanced users (pip install).vtt | 8.71 KB | ||
| 4 -Download the course lectures.mp4 | 53.17 MB | ||
| 4 -Download the course lectures.vtt | 3.71 KB | ||
| 5 -Execution - cmd and ipython basic execution.mp4 | 129.7 MB | ||
| 5 -Execution - cmd and ipython basic execution.vtt | 8.68 KB | ||
| 6 -Execution - Spyder.mp4 | 115.84 MB | ||
| 6 -Execution - Spyder.vtt | 7.9 KB | ||
| 7 -Execution - Jupyter notebook and colab.mp4 | 168.93 MB | ||
| 7 -Execution - Jupyter notebook and colab.vtt | 11.68 KB | ||
| 10 - 11. Pandas | |||
| 1 -11.1 Series.mp4 | 208.25 MB | ||
| 1 -11.1 Series.vtt | 14.97 KB | ||
| 10 -11.10 Pivot Table.mp4 | 162.21 MB | ||
| 10 -11.10 Pivot Table.vtt | 12.21 KB | ||
| 11 -E11.1 - Exercise.mp4 | 85.01 MB | ||
| 11 -E11.1 - Exercise.vtt | 5.85 KB | ||
| 12 -E11.2 - Exercise.mp4 | 60.76 MB | ||
| 12 -E11.2 - Exercise.vtt | 4.21 KB | ||
| 2 -11.2 DataFrame.mp4 | 236.15 MB | ||
| 2 -11.2 DataFrame.vtt | 17.03 KB | ||
| 3 -11.3 Basic Methods for DataFrames.mp4 | 187.31 MB | ||
| 3 -11.3 Basic Methods for DataFrames.vtt | 14.75 KB | ||
| 4 -11.4 Reading and Writing Files.mp4 | 257.62 MB | ||
| 4 -11.4 Reading and Writing Files.vtt | 20.18 KB | ||
| 5 -11.5 Selecting Rows and Columns with loc and iloc.mp4 | 141.9 MB | ||
| 5 -11.5 Selecting Rows and Columns with loc and iloc.vtt | 10.07 KB | ||
| 6 -11.6 Filters.mp4 | 128.15 MB | ||
| 6 -11.6 Filters.vtt | 9.64 KB | ||
| 7 -11.7 Data Cleaning - Preprocessing.mp4 | 284.49 MB | ||
| 7 -11.7 Data Cleaning - Preprocessing.vtt | 20.92 KB | ||
| 8 -11.8 Join Method.mp4 | 169.19 MB | ||
| 8 -11.8 Join Method.vtt | 12.69 KB | ||
| 9 -11.9 concat Function.mp4 | 146.05 MB | ||
| 9 -11.9 concat Function.vtt | 10.37 KB | ||
| 11 - 12. Graphics with Matplotlib pyplot | |||
| 1 -12.1 Pyplot and Graphical Elements.mp4 | 171.9 MB | ||
| 1 -12.1 Pyplot and Graphical Elements.vtt | 12.37 KB | ||
| 2 -12.2 Subplots.mp4 | 166.25 MB | ||
| 2 -12.2 Subplots.vtt | 12.32 KB | ||
| 3 -12.3 Bar Plot.mp4 | 134.34 MB | ||
| 3 -12.3 Bar Plot.vtt | 9.89 KB | ||
| 4 -12.4 Pie Chart.mp4 | 109.59 MB | ||
| 4 -12.4 Pie Chart.vtt | 7.24 KB | ||
| 5 -12.5 Surface Plots.mp4 | 151.08 MB | ||
| 5 -12.5 Surface Plots.vtt | 10.61 KB | ||
| 12 - 13. Sympy | |||
| 1 -13.1 Basic Operations.mp4 | 149.42 MB | ||
| 1 -13.1 Basic Operations.vtt | 10.46 KB | ||
| 10 -E13.5 - Exercise.mp4 | 9.91 MB | ||
| 10 -E13.5 - Exercise.vtt | 1.97 KB | ||
| 11 -E13.6 - Exercise.mp4 | 17.44 MB | ||
| 11 -E13.6 - Exercise.vtt | 3.92 KB | ||
| 12 -E13.7 - Exercise.mp4 | 60.59 MB | ||
| 12 -E13.7 - Exercise.vtt | 11.72 KB | ||
| 13 -E13.8 - Exercise.mp4 | 70.95 MB | ||
| 13 -E13.8 - Exercise.vtt | 12.64 KB | ||
| 2 -13.2 Matrices.mp4 | 125.47 MB | ||
| 2 -13.2 Matrices.vtt | 9.58 KB | ||
| 3 -13.3 Calculus Functions.mp4 | 100.27 MB | ||
| 3 -13.3 Calculus Functions.vtt | 7.32 KB | ||
| 4 -13.4 Solvers (Algebraic, Linear and Nonlinear Systems).mp4 | 213.61 MB | ||
| 4 -13.4 Solvers (Algebraic, Linear and Nonlinear Systems).vtt | 15.38 KB | ||
| 5 -13.5 Solver (Differential Equations).mp4 | 35.06 MB | ||
| 5 -13.5 Solver (Differential Equations).vtt | 7.6 KB | ||
| 6 -E13.1 - Exercise.mp4 | 79.65 MB | ||
| 6 -E13.1 - Exercise.vtt | 6.15 KB | ||
| 7 -E13.2 - Exercise.mp4 | 16.18 MB | ||
| 7 -E13.2 - Exercise.vtt | 3.75 KB | ||
| 8 -E13.3 - Exercise.mp4 | 11.41 MB | ||
| 8 -E13.3 - Exercise.vtt | 2.8 KB | ||
| 9 -E13.4 - Exercise.mp4 | 44.13 MB | ||
| 9 -E13.4 - Exercise.vtt | 9.12 KB | ||
| 13 - 14. Scipy | |||
| 1 -14.1 Matrix Functions.mp4 | 46.37 MB | ||
| 1 -14.1 Matrix Functions.vtt | 7.56 KB | ||
| 10 -E14.5 - Exercise.mp4 | 12.86 MB | ||
| 10 -E14.5 - Exercise.vtt | 2.8 KB | ||
| 11 -E14.6 - Exercise.mp4 | 48.39 MB | ||
| 11 -E14.6 - Exercise.vtt | 9.58 KB | ||
| 2 -14.2 Linear Systems.mp4 | 32.54 MB | ||
| 2 -14.2 Linear Systems.vtt | 4.45 KB | ||
| 3 -14.3 Eigenvalues and Eigenvectors.mp4 | 62.37 MB | ||
| 3 -14.3 Eigenvalues and Eigenvectors.vtt | 11.19 KB | ||
| 4 -14.4 Integral.mp4 | 34.45 MB | ||
| 4 -14.4 Integral.vtt | 7.36 KB | ||
| 5 -14.5 Differential equations ODE.mp4 | 60.74 MB | ||
| 5 -14.5 Differential equations ODE.vtt | 12.83 KB | ||
| 6 -E14.1 - Exercise.mp4 | 42.11 MB | ||
| 6 -E14.1 - Exercise.vtt | 7.63 KB | ||
| 7 -E14.2 - Exercise.mp4 | 18.74 MB | ||
| 7 -E14.2 - Exercise.vtt | 3.14 KB | ||
| 8 -E14.3 - Exercise.mp4 | 7.58 MB | ||
| 8 -E14.3 - Exercise.vtt | 1.39 KB | ||
| 9 -E14.4 - Exercise.mp4 | 18.23 MB | ||
| 9 -E14.4 - Exercise.vtt | 3.66 KB | ||
| 2 - 2. Python Fundamentals | |||
| 1 -2.1 Built-in types.mp4 | 175.91 MB | ||
| 1 -2.1 Built-in types.vtt | 12.31 KB | ||
| 2 -2.2 Basic math operations.mp4 | 147.11 MB | ||
| 2 -2.2 Basic math operations.vtt | 13.22 KB | ||
| 3 -2.3 Basic operations with strings (texts).mp4 | 157.33 MB | ||
| 3 -2.3 Basic operations with strings (texts).vtt | 11.25 KB | ||
| 4 -2.4 Boolean values (bool).mp4 | 164.63 MB | ||
| 4 -2.4 Boolean values (bool).vtt | 10.95 KB | ||
| 5 -2.5 Collections.mp4 | 241.09 MB | ||
| 5 -2.5 Collections.vtt | 15.97 KB | ||
| 3 - 3. Control Flow | |||
| 1 -3.1 Conditional Structures.mp4 | 241.13 MB | ||
| 1 -3.1 Conditional Structures.vtt | 15.05 KB | ||
| 10 -E3.3 - Exercise.mp4 | 41.8 MB | ||
| 10 -E3.3 - Exercise.vtt | 2.57 KB | ||
| 11 -E3.4 - Exercise.mp4 | 71.15 MB | ||
| 11 -E3.4 - Exercise.vtt | 4.66 KB | ||
| 12 -E3.5 - Exercise.mp4 | 49.73 MB | ||
| 12 -E3.5 - Exercise.vtt | 3.42 KB | ||
| 13 -E3.6 - Exercise.mp4 | 39.09 MB | ||
| 13 -E3.6 - Exercise.vtt | 2.61 KB | ||
| 2 -3.2 Loop Structures for.mp4 | 161.7 MB | ||
| 2 -3.2 Loop Structures for.vtt | 9.67 KB | ||
| 3 -3.3 Loop Structures while.mp4 | 122.92 MB | ||
| 3 -3.3 Loop Structures while.vtt | 7.2 KB | ||
| 4 -3.4 Boolean Operations.mp4 | 210.19 MB | ||
| 4 -3.4 Boolean Operations.vtt | 12.73 KB | ||
| 5 -3.5 Other Ways to Generate Booleans isinstance(), in, is.mp4 | 152.66 MB | ||
| 5 -3.5 Other Ways to Generate Booleans isinstance(), in, is.vtt | 9.02 KB | ||
| 6 -3.6 Iterables.mp4 | 69.15 MB | ||
| 6 -3.6 Iterables.vtt | 4.76 KB | ||
| 7 -3.7 enumerate().mp4 | 137.42 MB | ||
| 7 -3.7 enumerate().vtt | 7.88 KB | ||
| 8 -E3.1 - Exercise.mp4 | 61.61 MB | ||
| 8 -E3.1 - Exercise.vtt | 3.79 KB | ||
| 9 -E3.2 - Exercise.mp4 | 31.56 MB | ||
| 9 -E3.2 - Exercise.vtt | 1.98 KB | ||
| 4 - 4. Data Structures | |||
| 1 -4.1 Methods for Lists.mp4 | 239.53 MB | ||
| 1 -4.1 Methods for Lists.vtt | 16.15 KB | ||
| 10 -4.10 zip.mp4 | 64.49 MB | ||
| 10 -4.10 zip.vtt | 4.18 KB | ||
| 11 -E4.1 - Exercise.mp4 | 54.53 MB | ||
| 11 -E4.1 - Exercise.vtt | 3.75 KB | ||
| 12 -E4.2 - Exercise.mp4 | 30.65 MB | ||
| 12 -E4.2 - Exercise.vtt | 2.3 KB | ||
| 13 -E4.3 - Exercise.mp4 | 85.71 MB | ||
| 13 -E4.3 - Exercise.vtt | 5.27 KB | ||
| 14 -E4.4 - Exercise.mp4 | 49.7 MB | ||
| 14 -E4.4 - Exercise.vtt | 3.62 KB | ||
| 15 -E4.5 - Exercise.mp4 | 50.33 MB | ||
| 15 -E4.5 - Exercise.vtt | 3.06 KB | ||
| 16 -E4.6 - Exercise.mp4 | 43.52 MB | ||
| 16 -E4.6 - Exercise.vtt | 3.11 KB | ||
| 2 -4.2 List Comprehensions.mp4 | 90.72 MB | ||
| 2 -4.2 List Comprehensions.vtt | 6.52 KB | ||
| 3 -4.3 List Indexing and Slicing.mp4 | 152.15 MB | ||
| 3 -4.3 List Indexing and Slicing.vtt | 10.45 KB | ||
| 4 -4.4 Methods for Tuples.mp4 | 80.96 MB | ||
| 4 -4.4 Methods for Tuples.vtt | 5.5 KB | ||
| 5 -4.5 Tuple Unpacking.mp4 | 84.27 MB | ||
| 5 -4.5 Tuple Unpacking.vtt | 5.3 KB | ||
| 6 -4.6 Methods for Sets.mp4 | 102.32 MB | ||
| 6 -4.6 Methods for Sets.vtt | 7.74 KB | ||
| 7 -4.7 Set Operations.mp4 | 136.07 MB | ||
| 7 -4.7 Set Operations.vtt | 9.62 KB | ||
| 8 -4.8 Dictionary Methods.mp4 | 219.6 MB | ||
| 8 -4.8 Dictionary Methods.vtt | 15.39 KB | ||
| 9 -4.9 any and all.mp4 | 68.78 MB | ||
| 9 -4.9 any and all.vtt | 5.13 KB | ||
| 5 - 5. Functions | |||
| 1 -5.1 Functions.mp4 | 171.75 MB | ||
| 1 -5.1 Functions.vtt | 10.81 KB | ||
| 2 -5.2 Functions and Keyword (Named) Arguments.mp4 | 74.34 MB | ||
| 2 -5.2 Functions and Keyword (Named) Arguments.vtt | 4.46 KB | ||
| 3 -5.3 args.mp4 | 103.02 MB | ||
| 3 -5.3 args.vtt | 6.38 KB | ||
| 4 -5.4 kwargs.mp4 | 50.43 MB | ||
| 4 -5.4 kwargs.vtt | 3.17 KB | ||
| 5 -5.5 Docstring.mp4 | 89.37 MB | ||
| 5 -5.5 Docstring.vtt | 5.08 KB | ||
| 6 -5.6 Lambda Functions.mp4 | 59.25 MB | ||
| 6 -5.6 Lambda Functions.vtt | 3.68 KB | ||
| 7 -E5.1 - Exercise.mp4 | 17.77 MB | ||
| 7 -E5.1 - Exercise.vtt | 1.08 KB | ||
| 8 -E5.2 - Exercise.mp4 | 25.73 MB | ||
| 8 -E5.2 - Exercise.vtt | 1.6 KB | ||
| 9 -E5.3 - Exercise.mp4 | 12.01 MB | ||
| 9 -E5.3 - Exercise.vtt | 612 B | ||
| 9 -E5.mp4 | 18.9 MB | ||
| 9 -E5.vtt | 502 B | ||
| 6 - 6. Object-Oriented Programming | |||
| 1 -6.1 Introduction to OOP (object-oriented programming).mp4 | 144.24 MB | ||
| 1 -6.1 Introduction to OOP (object-oriented programming).vtt | 9.39 KB | ||
| 2 -6.2 Inheritance and Polymorphism.mp4 | 132.54 MB | ||
| 2 -6.2 Inheritance and Polymorphism.vtt | 8.36 KB | ||
| 3 - The rest of the section is a placeholder.html | 329 B | ||
| 7 - 7. Texts and Files | |||
| 1 -7.1 String Operations.mp4 | 154.15 MB | ||
| 1 -7.1 String Operations.vtt | 9.29 KB | ||
| 2 -7.2 String Methods.mp4 | 195.23 MB | ||
| 2 -7.2 String Methods.vtt | 11.96 KB | ||
| 3 -7.3 String Formatting.mp4 | 121.19 MB | ||
| 3 -7.3 String Formatting.vtt | 7.89 KB | ||
| 4 -7.4 Reading and Writing Files.mp4 | 194.85 MB | ||
| 4 -7.4 Reading and Writing Files.vtt | 13.22 KB | ||
| 5 -E7.1 - Exercise.mp4 | 56.88 MB | ||
| 5 -E7.1 - Exercise.vtt | 3.41 KB | ||
| 6 -E7.2 - Exercise.mp4 | 84.91 MB | ||
| 6 -E7.2 - Exercise.vtt | 5.34 KB | ||
| 7 -E7.3 - Exercise.mp4 | 90.66 MB | ||
| 7 -E7.3 - Exercise.vtt | 6.23 KB | ||
| 8 -E7.4 - Exercise.mp4 | 93.1 MB | ||
| 8 -E7.4 - Exercise.vtt | 6.1 KB | ||
| 8 - 8 Error handling | |||
| 1 -8.1 Try and Except Statements.mp4 | 119.91 MB | ||
| 1 -8.1 Try and Except Statements.vtt | 7.26 KB | ||
| 2 -8.2 Python's Built-in Exceptions.mp4 | 68.89 MB | ||
| 2 -8.2 Python's Built-in Exceptions.vtt | 4.14 KB | ||
| 3 -8.3 Try, Except Error.mp4 | 135.8 MB | ||
| 3 -8.3 Try, Except Error.vtt | 8.59 KB | ||
| 4 -8.4 Custom Exceptions.mp4 | 119.97 MB | ||
| 4 -8.4 Custom Exceptions.vtt | 7.49 KB | ||
| 5 - This section is a placeholder.html | 354 B | ||
| 9 - 10. Numpy | |||
| 1 -10.1 Arrays.mp4 | 265.46 MB | ||
| 1 -10.1 Arrays.vtt | 17.01 KB | ||
| 10 -E10.1 - Exercise.mp4 | 18.09 MB | ||
| 10 -E10.1 - Exercise.vtt | 1.28 KB | ||
| 11 -E10.2 - Exercise.mp4 | 27.66 MB | ||
| 11 -E10.2 - Exercise.vtt | 1.7 KB | ||
| 12 -E10.3 - Exercise.mp4 | 34.65 MB | ||
| 12 -E10.3 - Exercise.vtt | 2.32 KB | ||
| 13 -E10.4 - Exercise.mp4 | 19.58 MB | ||
| 13 -E10.4 - Exercise.vtt | 1.29 KB | ||
| 2 -10.2 Math functions.mp4 | 125.49 MB | ||
| 2 -10.2 Math functions.vtt | 8.42 KB | ||
| 3 -10.3 Array Creation.mp4 | 321.92 MB | ||
| 3 -10.3 Array Creation.vtt | 21.78 KB | ||
| 4 -10.4 Basic Operations with Arrays.mp4 | 115.48 MB | ||
| 4 -10.4 Basic Operations with Arrays.vtt | 7.84 KB | ||
| 5 -10.5 Numpy Memory Management.mp4 | 104.98 MB | ||
| 5 -10.5 Numpy Memory Management.vtt | 7.21 KB | ||
| 6 -10.6 Statistical Methods for Arrays.mp4 | 136.78 MB | ||
| 6 -10.6 Statistical Methods for Arrays.vtt | 10.42 KB | ||
| 7 -10.7 Array Indexing and Slicing.mp4 | 203.66 MB | ||
| 7 -10.7 Array Indexing and Slicing.vtt | 14.62 KB | ||
| 8 -10.8 Matrices in Numpy.mp4 | 135.88 MB | ||
| 8 -10.8 Matrices in Numpy.vtt | 9.6 KB | ||
| 9 -10.9 Vectors.mp4 | 111.58 MB | ||
| 9 -10.9 Vectors.vtt | 7.31 KB |
Description
Обучающие видео » Компьютерные видеоуроки и обучающие интерактивные DVD » Программирование (видеоуроки)
Python for Engineers and Scientists / basic to advanced
Год выпуска: 8/2024
Производитель: Udemy
Сайт производителя: https://www.udemy.com/course/python-for-engineers-and-scientists-basic-to-advanced/
Автор: Rafael Pereira da Silva, MSc.
Продолжительность: 14h 43m 16s
Тип раздаваемого материала: Видеоурок
Язык: Английский
Субтитры: Английский
Описание:
Replace Excel and Matlab with Sympy, Numpy, Pandas, Matplotlib, and Scipy; Task automation; From basic to advanced.
What you'll learn Python Language (from basic to advanced) + a complete package of Python scientific libraries: Sympy, Numpy, Pandas, Matplotlib, Scipy.
The student has access to ALL the CODES from the class.
Both the language and the libraries are FREE!
Useful topics for day-to-day tasks such as reading and writing files
Basic Python topics such as installation, variables, methods, and loops
Advanced topics such as object creation.
Sympy: solving linear systems, nonlinear systems, differential equations. Exercises and challenges.
Numpy: for data manipulation in multidimensional arrays. Requirements The student should be familiar with exact sciences, but no prior knowledge of Python is required. Description
The goal of "Python for Engineers and Scientists" is to provide programming, mathematical, and graphical tools for professionals across various fields.
Why should you take this course?
Both Python and the scientific ecosystem libraries taught here are FREE and open-source tools. This makes it easier to adopt these tools in both workplace and academic settings.
Moreover, the language and its libraries have been growing worldwide with a super active community. I've observed this since 2015 when I did R&D internships at a nuclear energy company.
Don't fall behind, my friend!
What do you gain by enrolling in this course?
This is the most comprehensive course with the best cost/benefit ratio on Python and its scientific ecosystem. In addition to around 15 hours of content, students have access to the Q&A forum, where we already have constructive interactions with all students and many questions and answers already addressed. You'll also have access to all the materials/codes created during the class, all structured and organized!
[spoiler="What will I learn?"]
In general, the course content includes:
- Python Fundamentals: You'll learn everything from installation to more advanced topics like object-oriented programming. Also, you'll cover useful day-to-day topics like task automation.
- Sympy: You'll master symbolic algebra manipulation, solving systems of equations, differential equations, and calculus functions. Additionally, there are plenty of exercises and challenges (proposed and solved). Sympy is a great substitute for Matlab.
- Numpy: You'll dive deep into the powerful array structure of Numpy.
- Pandas: You'll learn the best Excel replacement we have today. We'll work on filters, pivot tables, graphs, and real data handling with Pandas.
- Matplotlib: You'll gain an in-depth understanding of Matplotlib's objects for creating charts and dashboards.
- Scipy: You'll explore the "big boy" of computational mathematics in Python. We'll cover linear algebra, integrals, and numerical solutions to ODEs, with exercises (proposed and solved).
[/spoiler]
Who this course is for: Engineers
Data Analysts
Math or Physics students
Other active students: geologists, journalists, doctors, biomedical scientists, statisticians, data scientists, financial analysts. Формат видео: MP4
Видео: avc, 1280x720, 16:9, 30.000 к/с, 2088 кб/с
Аудио: aac lc, 48.0 кгц, 128 кб/с, 2 аудио
[spoiler="MediaInfo"]
General
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Color range : Limited
Color primaries : BT.709
Transfer characteristics : BT.709
Matrix coefficients : BT.709
Codec configuration box : avcC
Audio
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Format : AAC LC
Format/Info : Advanced Audio Codec Low Complexity
Codec ID : mp4a-40-2
Duration : 8 min 32 s
Source duration : 8 min 32 s
Bit rate mode : Constant
Bit rate : 128 kb/s
Channel(s) : 2 channels
Channel layout : L R
Sampling rate : 48.0 kHz
Frame rate : 46.875 FPS (1024 SPF)
Compression mode : Lossy
Stream size : 7.82 MiB (6%)
Source stream size : 7.82 MiB (6%)
Default : Yes
Alternate group : 1
[/spoiler]
[spoiler="Скриншоты"]
[/spoiler]
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