Essential Code for Data-Science Projects COMPLETE COURSE
Language: English | Size:5.22 GB
Genre:eLearning
Files Included :
1 Installing the necessary software.mp4 (29.93 MB)
MP4
1 AND, OR, FALSE, TRUE.mp4 (14.01 MB)
MP4
2 NOT.mp4 (15.54 MB)
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3 The De Morgan Laws.mp4 (32.47 MB)
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4 Comparison of int, str, Float, Bool.mp4 (41.88 MB)
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5 Type conversions int , float, str, bool.mp4 (62.56 MB)
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6 Combining NOT with empty string lists.mp4 (29.85 MB)
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7 The meaning of x = None, [] ,.mp4 (6.7 MB)
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8 Difference between 'is' and '='.mp4 (27.15 MB)
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1 Iterate via for-loop.mp4 (14.77 MB)
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2 Join two tuples.mp4 (5.33 MB)
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3 Define a tuple.mp4 (11.35 MB)
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4 Sort a tuple.mp4 (13.25 MB)
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5 Enumerate a tuple (enumerate, index).mp4 (8.67 MB)
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6 Find the frequency of elements (count).mp4 (2.06 MB)
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7 Tuple immutability.mp4 (9.53 MB)
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1 Remove NaN values by deleting rowscolumns.mp4 (11.16 MB)
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2 How to find if a dataframe has NaN values.mp4 (17.52 MB)
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3 Use min count to sum in presence of NaN values.mp4 (32.91 MB)
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4 Place NaN values in a dataframe , manually.mp4 (15.85 MB)
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5 Sum rows by ignoring NaN (skipna).mp4 (12.67 MB)
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6 Replace missing values with 0.mp4 (10.05 MB)
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1 Modelling VLOOKUP in Python.mp4 (59.61 MB)
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2 Modelling SUMIFS in Python.mp4 (70.81 MB)
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3 Modelling AVERAGEIFS in Python.mp4 (46.49 MB)
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1 Evaluate String expressions using eval().mp4 (54.05 MB)
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10 Multiline strings.mp4 (8.26 MB)
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11 Formating strings and f-strings (format).mp4 (48.15 MB)
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12 Count how many times a character is inside a string.mp4 (3.75 MB)
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13 in, find() with strings.mp4 (17.55 MB)
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14 right-justify text using rjust.mp4 (6.79 MB)
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2 Remove trailing characters using rstrip, lstrip.mp4 (16.49 MB)
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3 Break a string in sets using wrap.mp4 (17.37 MB)
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4 Select part of a string.mp4 (10.43 MB)
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5 Remove white space using replace ().mp4 (11.95 MB)
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6 Search for multiple occurrences of a subtext.mp4 (33.17 MB)
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7 Select specific characters from a column using str.mp4 (22.57 MB)
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8 Replace a character or a word from inside a string.mp4 (6.3 MB)
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9 Unite strings from inside a list using join.mp4 (6.29 MB)
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1 Using the function globals().mp4 (17.98 MB)
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2 Multiple assignment.mp4 (11.28 MB)
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3 Use global to change variables.mp4 (132.6 MB)
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1 Define a set, addremove elements.mp4 (21.61 MB)
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2 Convert a liststring to a set.mp4 (6.5 MB)
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3 Difference of two sets symmetric difference.mp4 (70.37 MB)
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4 Set comprehension.mp4 (16.96 MB)
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5 Subset, superset, proper subsetsuperset.mp4 (19.66 MB)
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6 Intersection and union.mp4 (33.34 MB)
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1 Edit strings inside series using str[].mp4 (61.31 MB)
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2 Create a series object of a constant value.mp4 (22.39 MB)
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3 Select a column as Series versus as a Dataframe.mp4 (10.85 MB)
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4 Broadcasting (saving) an array to a Series.mp4 (23.83 MB)
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1 Concatenate two arrays.mp4 (12.87 MB)
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2 linspace (equally spaced numbers).mp4 (4.26 MB)
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3 Reshaping the array.mp4 (43.23 MB)
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4 1D, 2D, 3D arrays from lists.mp4 (11.92 MB)
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5 Modify elements of an array.mp4 (13.43 MB)
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6 Use arange to make 1D and 2D arrays.mp4 (12 MB)
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7 eye, ones, zeros.mp4 (11.9 MB)
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8 flattening an array.mp4 (21.36 MB)
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1 Docstring.mp4 (10.15 MB)
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2 Count how many times a function is called.mp4 (24.81 MB)
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3 How to return many values from a function.mp4 (10.18 MB)
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4 Default values for parameters.mp4 (18.19 MB)
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5 A function calling another function.mp4 (7.59 MB)
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1 1 How to effectively read an xlsx file.mp4 (103.26 MB)
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10 Reading rows from topbottom (nrows, skipfooter).mp4 (36.03 MB)
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11 Check if an Excel cell is empty.mp4 (60.41 MB)
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12 Check the version of the installed packages.mp4 (15.59 MB)
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13 Hide special warnings.mp4 (40.76 MB)
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2 Skip reading rows when reading a dataframe.mp4 (38.45 MB)
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3 How to read a specific sheet from an excel file.mp4 (15.13 MB)
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4 Set the index of a dataframe upon reading it.mp4 (52.49 MB)
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5 Read specific columns from an excel file.mp4 (20.85 MB)
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6 Read data from World Bank.mp4 (72.56 MB)
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7 Send many dataframes into the same Excel file.mp4 (46.87 MB)
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8 Send a dataframe to a CSV.mp4 (12.6 MB)
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9 Hide Warnings.mp4 (36.64 MB)
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1 Update a DateTimeIndex.mp4 (44.03 MB)
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2 The Workalendar package for Country dates.mp4 (17.54 MB)
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3 Timedelta() for time conversions.mp4 (12.71 MB)
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1 Use name.mp4 (14.69 MB)
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2 Check if the datatype is int float str NaN None.mp4 (28.74 MB)
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3 dtypes, astype() and the type of the dataframe elements.mp4 (84.6 MB)
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4 Converting elements of a column via astype.mp4 (6.43 MB)
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1 Define and loop through a dictionary.mp4 (24.79 MB)
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10 Dictionary comprehension.mp4 (9.77 MB)
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11 Delete a key from a dictionary.mp4 (1.67 MB)
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12 Sort a dictionary.mp4 (9.5 MB)
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13 Mutability of a dictionary.mp4 (11.76 MB)
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2 Find the number of elements in a dictionary.mp4 (9.9 MB)
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3 Convert to a listset of keysvalues.mp4 (33.8 MB)
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4 Convert a dataframe to a dictionary.mp4 (39.04 MB)
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5 Print the first 6 elements of a dictionary.mp4 (24.78 MB)
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6 What it means for x in dictionary.mp4 (12.05 MB)
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7 Convert a single value into a dictionary (keys).mp4 (13.82 MB)
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8 Avoid errors when a key is not found (get).mp4 (114.51 MB)
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9 Join two dictionaries ().mp4 (26.22 MB)
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1 Default dictionaries.mp4 (77.38 MB)
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1 Trigonometry, infinity, pi.mp4 (13.31 MB)
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2 regular division, integer division, modulo division, , 39_mp4 (21.04 MB)
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3 dot product of 2 arrays.mp4 (30.22 MB)
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1 Try Except block.mp4 (53.24 MB)
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2 the finally statement.mp4 (74.21 MB)
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3 Raise errors based on user input.mp4 (42.67 MB)
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4 How to raise own errors.mp4 (18.7 MB)
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1 random choice.mp4 (6.48 MB)
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2 randint.mp4 (2.9 MB)
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3 randrange.mp4 (3.84 MB)
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4 random random, random seed.mp4 (22.43 MB)
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5 random sample (sample without replacement).mp4 (9.27 MB)
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6 Fix the random seeds using a function.mp4 (60.34 MB)
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1 1 Set and reset the index.mp4 (171.55 MB)
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2 Change the name of the index of a dataframe.mp4 (22.44 MB)
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3 Find the rowcolumn index of any element of a dataframe.mp4 (76.96 MB)
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4 The enumerate() command to enumerate rowselements.mp4 (83.54 MB)
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5 Sort the index of a dataframe sort index.mp4 (15.61 MB)
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1 How to sort the elements of a list.mp4 (83.93 MB)
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10 Slicing.mp4 (32.75 MB)
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11 Enumerate, index.mp4 (31 MB)
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12 series isin(list).mp4 (26.18 MB)
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13 Count how many times an element is in a list.mp4 (9.63 MB)
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14 Make a copy and an alias of a list.mp4 (16.83 MB)
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2 Remove elements from a list.mp4 (28.78 MB)
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3 Create a sublist from another list.mp4 (51.25 MB)
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4 List comprehension from consecutive numbers.mp4 (33.3 MB)
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5 Print first last elements of a list.mp4 (4.91 MB)
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6 Place in a list the elements of another list.mp4 (8.35 MB)
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7 Remove all occurrences of an element.mp4 (24.76 MB)
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8 pop() versus remove().mp4 (24.24 MB)
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9 List comprehensions.mp4 (19.48 MB)
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1 Return elements from a dataframe.mp4 (56.52 MB)
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10 New row and fill it with the values of other rows.mp4 (31.57 MB)
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11 New column with values 1,2,3 (arange).mp4 (20.85 MB)
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12 pivot tables.mp4 (63.74 MB)
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13 Rename rows columns of a dataframe.mp4 (20.51 MB)
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14 Use a dictionary to create a dataframe.mp4 (21.68 MB)
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15 Transpose of a dataframe.mp4 (13.67 MB)
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16 Select rowscolumns of a dataframe.mp4 (44.58 MB)
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17 Repeat a rowcolumn (np repeat).mp4 (78.6 MB)
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18 Sorting the columns.mp4 (43.35 MB)
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19 Change the datatype of a rowcolumn (astype).mp4 (47.93 MB)
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2 Delete rows columns (iloc, drop).mp4 (54.94 MB)
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20 Select specific rowscolumns (loc, arange).mp4 (25.27 MB)
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21 How to delete many rows from a dataframe.mp4 (81.35 MB)
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22 Get the value under another column of the same row.mp4 (20.86 MB)
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23 Use iteritems on a dataframe.mp4 (19.48 MB)
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24 Sort the values of a column (sort values).mp4 (15 MB)
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25 Populate a column via list, array, series.mp4 (5.96 MB)
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26 Define a dataframe with without a dictionary.mp4 (11.14 MB)
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27 Define a dataframe using list comprehension.mp4 (11.02 MB)
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3 Read indices and values of a dataframe.mp4 (29.46 MB)
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4 Show the max number of rowscolumns.mp4 (24.97 MB)
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5 Create a copy of a dataframe.mp4 (9.52 MB)
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6 Take a backup of a dataframe (copy versus =).mp4 (23.13 MB)
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7 Change specific values in a dataframe.mp4 (58.54 MB)
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8 Make a new column and fill it with the values of another column.mp4 (18.84 MB)
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9 Change the order of columns in a dataframe.mp4 (54.07 MB)
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1 Format the values of a dataframe to percentages.mp4 (21.81 MB)
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2 Format the elements of a dataframe to 1 decimal point.mp4 (11.93 MB)
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3 Apply a function to the elements of a series dataframe.mp4 (19.33 MB)
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1 Prevent data transfer from dataframe to dictionary.mp4 (69.75 MB)
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2 Prevent duplicate values in a dataframe.mp4 (107.6 MB)
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3 Prevent duplicate values while using True, Break.mp4 (16.16 MB)
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4 Break, continue, pass.mp4 (31.69 MB)
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5 For, else.mp4 (33.16 MB)
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6 While, For equivalence.mp4 (10.88 MB)
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7 While True.mp4 (17.26 MB)
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8 While , Else.mp4 (11.12 MB)
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1 How to define it.mp4 (32.69 MB)
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2 How to rename a column.mp4 (18.59 MB)
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3 How to remove a level.mp4 (7.72 MB)
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4 Print levels in a single cell (merge cells).mp4 (28.79 MB)
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5 From merged (dataframe) to unmerged (excel).mp4 (70.11 MB)
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6 How to implement iteritems.mp4 (30.46 MB)
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1 If, elif.mp4 (16.49 MB)
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2 inline if statement.mp4 (30.52 MB)
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3 Print statement with if-else embedded.mp4 (38.86 MB)
MP4
Essential Code for Data-Science Projects COMPLETE COURSE.z01
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