Pandas by Reuven M. Lerner
Buy for $300

Pandas

Read, manipulate, analyze, and plot data with ease — all within Python! 

Note: This course currently has more than 10 hours of video. When complete, by late July, it will have about 12 hours of video, and the price will increase. Buy now, and you'll automatically have access as new content is added. Look at the syllabus to see what topics are planned.
Buy for $300

What's included?

Video Icon 145 videos File Icon 26 files

Contents

published-syllabus.txt
6.5 KB
Get access
Section 1: Introduction
Pandas, part 1 -- introduction.ipynb
1.21 KB
Get access
1 Introduction.mov
3 mins
Get access
2 what-is-pandas.mov
5 mins
Get access
3 Installing Pandas.mp4
6 mins
Get access
4 Loading Pandas into Jupyter.mp4
6 mins
Get access
Section 2: Series
Pandas, part 2 -- series.ipynb
77.2 KB
Get access
5 Creating a series.mp4
5 mins
Get access
6 Creating a series with NumPy.mp4
4 mins
Get access
7 Setting and retrieving with indexes.mp4
5 mins
Preview
8 Retrieving with loc and iloc.mp4
5 mins
Preview
9 Setting the index.mp4
6 mins
Get access
10 Non-unique indexes.mp4
4 mins
Get access
10a Fancy indexing.mp4
3 mins
Get access
11 Basic methods.mp4
2 mins
Get access
12 Operations by index.mp4
3 mins
Get access
13 Broadcasting operators.mp4
2 mins
Get access
14 Boolean indexing.mp4
3 mins
Get access
15 Exercises 1.mp4
2 mins
Get access
exercise-1.txt
477 Bytes
Get access
16 Exercise solutions 1.mp4
6 mins
Get access
Section 3: dtypes and NaN
Pandas, part 3 -- dtypes and NaN.ipynb
67.4 KB
Get access
17 dtypes.mp4
8 mins
Get access
18 assigning to dtypes.mp4
6 mins
Preview
19 Using astype.mp4
6 mins
Get access
20 NaN.mp4
3 mins
Get access
20a Skipping NaN.mp4
5 mins
Get access
21 dropna and fillna.mp4
7 mins
Get access
22 fill_value.mp4
6 mins
Get access
23 Exercises 2.mp4
2 mins
Get access
exercise-2.txt
487 Bytes
Get access
24 Exercise solutions 2.mp4
5 mins
Get access
Section 4: Advanced series functionality
Pandas, part 4 -- advanced series.ipynb
47.6 KB
Get access
25 size and count.mp4
3 mins
Get access
26 median and quantiles.mp4
4 mins
Get access
27 describe.mp4
4 mins
Get access
28 describe with non-numeric data.mp4
2 mins
Get access
29 head and tail.mp4
3 mins
Get access
30 value_counts.mp4
5 mins
Preview
31 duplicated.mp4
3 mins
Get access
32 replace.mp4
5 mins
Get access
33 Sorting.mp4
5 mins
Get access
34 apply.mp4
5 mins
Get access
35 Exercises 3.mp4
2 mins
Get access
exercise-3.txt
359 Bytes
Get access
36 Exercise solutions 3.mp4
6 mins
Get access
Section 5: Strings
Pandas, part 5 -- Strings.ipynb
41.7 KB
Get access
37 Strings in Pandas vs NumPy.mp4
5 mins
Get access
38 String methods and the "str" object.mp4
5 mins
Preview
39 Finding numbers.mp4
4 mins
Get access
40 startswith and endswith.mp4
3 mins
Get access
41 [] and strings.mp4
4 mins
Get access
42 str.contains.mp4
4 mins
Get access
43 find and index.mp4
6 mins
Get access
44 Modifying data.mp4
6 mins
Get access
45 Splitting and reusing str.mp4
3 mins
Get access
46 Exercises 4.mp4
1 min
Get access
exercise-4.txt
220 Bytes
Get access
47 Exercise 4 solutions.mp4
5 mins
Get access
Section 6: Plotting series
Pandas, part 6 -- plotting.ipynb
760 KB
Get access
48 Simple plots with matplotlib.mp4
14 mins
Get access
49 More sophisticated plotting with Matplotlib.mp4
11 mins
Get access
50 Line plots via pandas.mp4
8 mins
Get access
51 Bar plots with pandas.mp4
5 mins
Preview
52 Histograms.mp4
5 mins
Get access
53 Pie plots.mp4
8 mins
Get access
54 Box plots.mp4
6 mins
Get access
55 Exercises 5.mp4
2 mins
Get access
exercise-5.txt
501 Bytes
Get access
56 Exercise 5 solutions.mp4
6 mins
Get access
Section 7: Data frames
Pandas, part 7 -- data frames.ipynb
226 KB
Get access
57 Data frame introduction.mp4
6 mins
Get access
58 Index and columns -- simple retrievals.mp4
6 mins
Get access
58a Dot syntax for column retrieval.mp4
2 mins
Get access
59 Setting the index and columns.mp4
7 mins
Get access
60 Retrieving an individual value.mp4
5 mins
Get access
61 Creating data frames from NumPy arrays.mp4
6 mins
Get access
62 Creating data frames from a list of dicts.mp4
5 mins
Get access
63 Creating data frames from a dict of lists, arrays, or series.mp4
8 mins
Get access
64 Methods on columns.mp4
3 mins
Get access
65 Methods on an entire data frame.mp4
4 mins
Get access
66 Retrieving multiple columns.mp4
6 mins
Get access
67 Retrieving multiple rows.mp4
4 mins
Get access
68 Updating values in a data frame.mp4
5 mins
Get access
68a Using "describe" on data frames.mp4
4 mins
Get access
69 Exercises 6.mp4
2 mins
Get access
exercise-6.txt
877 Bytes
Get access
70 Exercise solutions 6.mp4
10 mins
Get access
Section 8: Boolean indexes and data frames
71 Boolean indexes on a column.mp4
4 mins
Get access
Pandas, part 8 -- boolean indexes and data frames.ipynb
283 KB
Get access
72 Applying boolean indexes to other columns.mp4
8 mins
Get access
73 Complex queries across columns.mp4
6 mins
Get access
74 Applying a boolean index to an entire data frame.mp4
5 mins
Get access
75 Assigning to data frames -- recap.mp4
4 mins
Get access
76 Assigning to multiple rows and columns with loc.mp4
4 mins
Get access
77 Assigning to a column based on a boolean index.mp4
8 mins
Get access
78 Chained assignment -- what it is, and how to avoid it.mp4
4 mins
Get access
79 Data frame assignment example.mp4
4 mins
Get access
80 Assigning a scalar value to a data frame, based on a condition.mp4
5 mins
Get access
81 Assigning a vector value to a data frame, based on a condition.mp4
5 mins
Get access
82 Using df.replace to replace values across a data frame.mp4
6 mins
Get access
82a Using isna, dropna, and fillna with data frames.mp4
8 mins
Get access
82a Using isna, dropna, and fillna with data frames.mp4
8 mins
Get access
83 Using mask and where .mp4
4 mins
Get access
84 Using clip.mp4
6 mins
Get access
68e Dropping one or more rows.mp4
2 mins
Get access
68f Dropping one or more columns.mp4
3 mins
Get access
85 Exercises 7.mp4
3 mins
Get access
68d Updating values in rows and adding rows.mp4
3 mins
Get access
exercise-7.txt
1.13 KB
Get access
68c Adding columns.mp4
4 mins
Get access
86 Exercise solutions 7.mp4
14 mins
Get access
68b Updating a column.mp4
6 mins
Get access
85 Exercises 7.mp4
3 mins
Get access
68a Using "describe" on data frames.mp4
4 mins
Get access
86 Exercise solutions 7.mp4
14 mins
Get access
Section 9: Pandas and I/O — reading and writing files
Pandas, part 9 -- input and output.ipynb
271 KB
Get access
87 Pandas and IO -- and saving to the clipboard.mp4
6 mins
Get access
88 Saving to CSV.mp4
6 mins
Get access
89 Changing the CSV separator.mp4
6 mins
Get access
90 NaN representation.mp4
3 mins
Get access
91 Choosing output columns.mp4
3 mins
Get access
92 Writing row and column names.mp4
6 mins
Get access
93 Saving with compression.mp4
6 mins
Get access
94 Reading CSV files.mp4
6 mins
Get access
95 Choosing and ignoring header rows.mp4
5 mins
Get access
96 Naming columns.mp4
5 mins
Get access
97 Choosing columns.mp4
5 mins
Get access
98 Choosing + naming.mp4
6 mins
Get access
99 Reading NaN values.mp4
4 mins
Get access
100 dtype hints when reading CSV.mp4
6 mins
Get access
101 Reading from the network.mp4
5 mins
Get access
102 Exercises 8.mp4
1 min
Get access
exercise-8.txt
524 Bytes
Get access
103 Exercise 8 solutions.mp4
6 mins
Get access
104 Excel files.mp4
6 mins
Get access
105 JSON files.mp4
6 mins
Get access
106 SQL databases.mp4
13 mins
Get access
Section 10: Data analysis with Pandas
Pandas, part 10 -- analysis of real-world data.ipynb
32.8 KB
Get access
flight-delays.zip
186 MB
Get access
taxi.csv
1.49 MB
Get access
107 Analysis of taxi data.mp4
6 mins
Preview
108 Taxi data part 2.mp4
3 mins
Get access
109 Taxi data part 3.mp4
5 mins
Get access
110 Taxi data part 4.mp4
5 mins
Get access
111 Taxi data part 5.mp4
6 mins
Get access
112 Taxi data part 6.mp4
6 mins
Get access
113 Exercises 9.mp4
3 mins
Get access
114 Exercise 9 solutions.mp4
8 mins
Get access
Section 11: Memory management and categories
Pandas, part 11 -- Memory management and categories.ipynb
97.1 KB
Get access
115 Data frames and memory usage.mp4
13 mins
Get access
116 Memory usage in series and data frames.mp4
7 mins
Get access
117 Categories.mp4
8 mins
Get access
118 Setting dtypes upon load.mp4
3 mins
Get access
119 Predefining categories.mp4
6 mins
Get access
120 Avoiding low-memory warnings.mp4
4 mins
Get access
exercise-10.txt
677 Bytes
Get access
airlines.dat
380 KB
Get access
121 Exercises 10.mp4
2 mins
Get access
122 Exercise solutions 10.mp4
5 mins
Get access
Section 12: Indexes and multi-indexes
Pandas, part 12 -- indexes.ipynb
103 KB
Get access
123 set_index and reset_index.mp4
7 mins
Get access
124 multi-indexes on series.mp4
6 mins
Get access
125 multi-indexes on data frames.mp4
5 mins
Get access
126 stack and unstack.mp4
4 mins
Get access
127 swaplevel.mp4
3 mins
Get access
128 Exercises 11.mp4
3 mins
Get access
exercise-11.txt
1.01 KB
Get access
129 Exercise solutions 11.mp4
13 mins
Get access
Section 13: Sorting, merging, and grouping
131 sort_values.mp4
4 mins
Get access
130 sort_index.mp4
6 mins
Get access