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

• 9 - 10. Numpy/3 -10.3 Array Creation.mp4-321.92 MB
• 10 - 11. Pandas/7 -11.7 Data Cleaning - Preprocessing.mp4-284.49 MB
• 1 - Introduction/2 -Installation of Anaconda - common users.mp4-276.18 MB
• 9 - 10. Numpy/1 -10.1 Arrays.mp4-265.46 MB
• 10 - 11. Pandas/4 -11.4 Reading and Writing Files.mp4-257.62 MB
• 3 - 3. Control Flow/1 -3.1 Conditional Structures.mp4-241.13 MB
• 2 - 2. Python Fundamentals/5 -2.5 Collections.mp4-241.09 MB
• 4 - 4. Data Structures/1 -4.1 Methods for Lists.mp4-239.53 MB
• 10 - 11. Pandas/2 -11.2 DataFrame.mp4-236.15 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).mp4-213.61 MB
• 3 - 3. Control Flow/4 -3.4 Boolean Operations.mp4-210.19 MB
• 10 - 11. Pandas/1 -11.1 Series.mp4-208.25 MB
• 9 - 10. Numpy/7 -10.7 Array Indexing and Slicing.mp4-203.66 MB
• 7 - 7. Texts and Files/2 -7.2 String Methods.mp4-195.23 MB
• 7 - 7. Texts and Files/4 -7.4 Reading and Writing Files.mp4-194.85 MB
• 10 - 11. Pandas/3 -11.3 Basic Methods for DataFrames.mp4-187.31 MB
• 2 - 2. Python Fundamentals/1 -2.1 Built-in types.mp4-175.91 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.mp4-171.75 MB
• 10 - 11. Pandas/8 -11.8 Join Method.mp4-169.19 MB
• 1 - Introduction/7 -Execution - Jupyter notebook and colab.mp4-168.93 MB
• 11 - 12. Graphics with Matplotlib pyplot/2 -12.2 Subplots.mp4-166.25 MB
• 2 - 2. Python Fundamentals/4 -2.4 Boolean values (bool).mp4-164.63 MB
• 10 - 11. Pandas/10 -11.10 Pivot Table.mp4-162.21 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).mp4-157.33 MB
• 7 - 7. Texts and Files/1 -7.1 String Operations.mp4-154.15 MB
• 3 - 3. Control Flow/5 -3.5 Other Ways to Generate Booleans isinstance(), in, is.mp4-152.66 MB
• 4 - 4. Data Structures/3 -4.3 List Indexing and Slicing.mp4-152.15 MB
• 11 - 12. Graphics with Matplotlib pyplot/5 -12.5 Surface Plots.mp4-151.08 MB
• 12 - 13. Sympy/1 -13.1 Basic Operations.mp4-149.42 MB
• 1 - Introduction/1 -Introduction - course overview.mp4-147.44 MB
• 2 - 2. Python Fundamentals/2 -2.2 Basic math operations.mp4-147.11 MB
• 10 - 11. Pandas/9 -11.9 concat Function.mp4-146.05 MB
• 6 - 6. Object-Oriented Programming/1 -6.1 Introduction to OOP (object-oriented programming).mp4-144.24 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().mp4-137.42 MB
• 9 - 10. Numpy/6 -10.6 Statistical Methods for Arrays.mp4-136.78 MB
• 4 - 4. Data Structures/7 -4.7 Set Operations.mp4-136.07 MB
• 9 - 10. Numpy/8 -10.8 Matrices in Numpy.mp4-135.88 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.mp4-134.34 MB
• 1 - Introduction/3 -Installation of pure Python - advanced users (pip install).mp4-134.26 MB
• 6 - 6. Object-Oriented Programming/2 -6.2 Inheritance and Polymorphism.mp4-132.54 MB
• 1 - Introduction/5 -Execution - cmd and ipython basic execution.mp4-129.7 MB
• 10 - 11. Pandas/6 -11.6 Filters.mp4-128.15 MB
• 9 - 10. Numpy/2 -10.2 Math functions.mp4-125.49 MB
• 12 - 13. Sympy/2 -13.2 Matrices.mp4-125.47 MB
• 3 - 3. Control Flow/3 -3.3 Loop Structures while.mp4-122.92 MB