| 1 -Introduction.mp4 | 16 MB | ||
| 1 -Limitation of NumPy in handling strings in data.mp4 | 23.9 MB | ||
| 1 -Plot to show Solubility of a compound in methanol as a function of temperature.mp4 | 45.3 MB | ||
| 1 -setting up a colab environment.mp4 | 4.1 MB | ||
| 10 -Performing a boolean test on a series and to find an item in the series.mp4 | 22.8 MB | ||
| 10 -Plotting more than one subplots in a figure.mp4 | 52.3 MB | ||
| 10 -Problem To solve for particle in one dimensional box.mp4 | 23.2 MB | ||
| 11 -Plotting more than one subplots in a figure- A second approach.mp4 | 56.3 MB | ||
| 11 -Sorting of a series by index and value.mp4 | 22.3 MB | ||
| 11 -Two dimensional arrays (arrays of zeros and ones).mp4 | 15 MB | ||
| 12 -Exporting the elemental propertes to a csv file and read from it.mp4 | 53.4 MB | ||
| 12 -Problem Electronic configuration of Iron in the form of table using Numpy Zero.mp4 | 25.5 MB | ||
| 13 -Reading a pdb file as a table using Pandas and the arguments in opening a file.mp4 | 68.4 MB | ||
| 13 -Reshaping of a two dimensional array.mp4 | 29.4 MB | ||
| 14 -Complex Reshaping of an array.mp4 | 16.7 MB | ||
| 14 -Exporting the pdb data to csv and excel using Pandas.mp4 | 24.4 MB | ||
| 15 -Adding the properties of element to a dataframe by appending or by adding series.mp4 | 52.8 MB | ||
| 15 -NumPy array from Function.mp4 | 13.2 MB | ||
| 16 -Droping an entrie row or column from a dataframe.mp4 | 18.5 MB | ||
| 16 -Indexing of an array.mp4 | 30.7 MB | ||
| 17 -16.ipynb | 409.6 B | ||
| 17 -Merging two dataframes.mp4 | 44.2 MB | ||
| 17 -changing an item in an array.mp4 | 12.9 MB | ||
| 18 -Generating a table of proton and neutrons of tranition metals.mp4 | 67.7 MB | ||
| 18 -some other functions in indexing and slicing of an array.mp4 | 9.9 MB | ||
| 19 -Enthalpy and entropy of fusion of transition metals using Pandas.mp4 | 37.2 MB | ||
| 19 -Reversing an array.mp4 | 9.3 MB | ||
| 2 -Modifying a plot by changing color, marker, line width etc.mp4 | 48 MB | ||
| 2 -Panda Series of melting points of the first five elements and the indexing.mp4 | 65.2 MB | ||
| 2 -ProblemsLimitations of Python Lists.mp4 | 12.6 MB | ||
| 20 -Mean, standard deviation of array.mp4 | 8.7 MB | ||
| 21 -max min argmax argmin of an array.mp4 | 7.1 MB | ||
| 22 -columnwise indexing, argmax,.mp4 | 24.8 MB | ||
| 23 -Compound Indexing of an array.mp4 | 17.9 MB | ||
| 24 -Masking of an array.mp4 | 41.1 MB | ||
| 25 -Applying condition on an array.mp4 | 5.8 MB | ||
| 26 -Math vs numpy for an operation on an array.mp4 | 16.3 MB | ||
| 27 -multiplication and divisions of an array with another one.mp4 | 17.3 MB | ||
| 28 -Math operation (addition, multiplication division) on arrays of diff dimension.mp4 | 26.4 MB | ||
| 29 -Math operation (addition, multiplication division) on arrays of same dimension.mp4 | 25.1 MB | ||
| 3 -A ombined plot of solubliities of comp A and B and export the plot in PNG formt.mp4 | 66 MB | ||
| 3 -Panda Series from a dictionary of melting points and indexing by elements.mp4 | 27.4 MB | ||
| 3 -Tan of 10 values between 0 and 2Pi using list and for loop.mp4 | 34.4 MB | ||
| 30 -NumPy Vectorize operation for a function.mp4 | 18.4 MB | ||
| 31 -Opening a file with NumPy.mp4 | 27.9 MB | ||
| 32 -Save Ionization potential data into a csv file using NumPy.mp4 | 33.1 MB | ||
| 33 -arguments in opening a file suing NumPy and dealing with empty numbers.mp4 | 51.8 MB | ||
| 34 -genfromtxt and loadtxt options to open a file.mp4 | 8.9 MB | ||
| 4 -Pandas dataframe of AN, AM, d, mp and bp of elements.mp4 | 40.6 MB | ||
| 4 -Tan of 10 values between 0 and 2Pi using NumPy.mp4 | 18.5 MB | ||
| 4 -bar plot of ionization energies and electron affinities of first 10 elements.mp4 | 14.8 MB | ||
| 5 -Generate array of equally spaced values through linspace.mp4 | 11 MB | ||
| 5 -Table of properties of elements using Pandas Dataframe index and column.mp4 | 25.1 MB | ||
| 5 -scatter plot of alcohol contents againts alkalinity of ash and proline content.mp4 | 49.9 MB | ||
| 6 -Histogram of ionization potentials of elements.mp4 | 31.5 MB | ||
| 6 -Modifying dataframe and selectively printing a property from a dataframe.mp4 | 55.5 MB | ||
| 6 -Square of an array.mp4 | 5.8 MB | ||
| 7 -Indexing of a dataframe (loc).mp4 | 36 MB | ||
| 7 -STEM Plot of cosine of radians from 0 to 15.mp4 | 19.6 MB | ||
| 7 -Some other functions on an array in NumPy.mp4 | 12.3 MB | ||
| 8 -Indexing of a series of heat of combustion of alkenes.mp4 | 28.4 MB | ||
| 8 -Pie chart of natual abdundances of 8 most abundant elements in earth crust.mp4 | 26.2 MB | ||
| 8 -Problem Rate constant of a first order reaction through Arrhenius equation.mp4 | 25.8 MB | ||
| 9 -Equally space array using step size (arange).mp4 | 12.5 MB | ||
| 9 -heat of enthalpies in kJ per gram by dividing series with molar mass.mp4 | 17 MB | ||
| 9 -step plot of natual abdundances of 8 most abundant elements in earth crust.mp4 | 12.9 MB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 68 total files | |||
Data Analysis & Plotting for Chemistry with Python
https://WebToolTip.com
Published 8/2025
Created by Khurshid Ayub
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 65 Lectures ( 3h 58m ) | Size: 1.8 GB
Master data handling, visualization, and real-world chemical analysis with Python—no coding or data science background n
What you'll learn
Learn to efficiently manage, clean, and preprocess chemical datasets using Python.
Import, clean, and manipulate raw chemical data using Python libraries (pandas, numpy, etc.).
Generate professional-quality plots (2D, 3D, interactive) tailored to chemistry problems.
Analyze spectroscopic, thermodynamic, and kinetic datasets to draw research-level conclusions.
Reproduce and interpret data analyses from published chemistry research articles
Apply best practices in reproducibility, documentation, and data-driven research.
Requirements
No advanced coding knowledge is required — we start from the basics and move step by step toward professional-level chemical data analysis.
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