NumPy
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Section 1: Introduction
01 Welcome.mov
02 What is NumPy?
03 Installing NumPy
04 Importing NumPy
Section 2: Basic NumPy arrays
NumPy course, section 2.ipynb
05 What is a NumPy array?
06 Creating NumPy arrays
07 Exercises 1
exercises-1.txt
08 Exercise solutions 1
09 Generating random arrays
09a Random seeds.mp4
10 Vectorized operations.mp4
11 Vectorized operations with two arrays.mp4
12 Commonly used methods.mp4
13 Exercises 2.mp4
exercises-2.txt
14 Exercise solutions 2.mp4
Section 3: Indexing
NumPy course, section 3.ipynb
15 Fancy indexing.mp4
16 Boolean indexing.mp4
17 Views vs copies.mp4
18 Selecting with boolean indexes.mp4
19 Evens and odds.mp4
20 Exercises 3.mp4
exercises-3.txt
21 Exercise solutions 3.mp4
22 Complex conditions.mp4
23 Exercises 4.mp4
exercises-4.txt
24 Exercise solutions 4.mp4
25 Assigning via indexes.mp4
26 Exercises 5.mp4
exercises-5.txt
27 Exercise solutions 5.mp4
Section 4: Data types
NumPy course, section 4.ipynb
28 dtypes
29 Setting dtypes
30 Setting the dtype attribute
31 Using astype
32 String lengths
33 Exercises 6
exercises-6.txt
34 Exercise solutions 6
35 Complex numbers.mp4
36 Booleans vs. integers.mp4
37 Setting print options.mp4
Section 5: nan
NumPy course, section 5.ipynb
38 The need for nan.mp4
39 Filtering with isnan.mp4
40 Making sure that nan will work in your array.mp4
41 Replacing nan values with the mean.mp4
42 Exercises 7.mp4
exercises-7.txt
43 Exercise solutions 7.mp4
44 inf and nan.mp4
Section 6: Multidimensional NumPy
NumPy course, section 6.ipynb
45 Array shapes.mp4
46 Multi-dimensional retrievals.mp4
47 Exercises 8.mp4
exercises-8.txt
48 Exercise solutions 8.mp4
49 Assigning to 2d arrays.mp4
50 Axes and NumPy methods.mp4
51 argmin and argmax.mp4
52 Flattening arrays.mp4
53 Transposing.mp4
54 Sorting.mp4
55 Concatenating arrays.mp4
56 Exercises 9
exercises-9.txt
57 Exercise solutions 9
Section 7: Input and output
58 Intro to NumPy IO
59 Storing with np.save
60 Loading with np.load
61 mmap_mode
62 Saving and loading npz
63 Storing CSV files with np.savetxt
64 Loading CSV files with np.loadtxt
65 Exercises 10.mp4
NumPy course, section 7.ipynb
66 Exercise solutions 10.mp4
Section 8: Matplotlib
NumPy course, section 8.ipynb
67 Intro to Matplotlib.mp4
68 Basic plots.mp4
69 Format strings.mp4
70 Bar plots.mp4
71 Histograms.mp4
72 Pie plots.mp4
73 Exercises 11.mp4
exercises-11.txt
cisco_stock.csv
74 Exercise solutions 11.mp4
Section 9: Conclusion
Conclusion
PDFs of slides
01 Data science intro
02 Jupyter notebook
03 NumPy
04 NumPy indexes
05 NumPy's nan
06 NumPy and multidimensional arrays
07 NumPy and input-output
Products
Course
NumPy
NumPy
NumPy
Buy now
Learn more
Section 1: Introduction
01 Welcome.mov
02 What is NumPy?
03 Installing NumPy
04 Importing NumPy
Section 2: Basic NumPy arrays
NumPy course, section 2.ipynb
05 What is a NumPy array?
06 Creating NumPy arrays
07 Exercises 1
exercises-1.txt
08 Exercise solutions 1
09 Generating random arrays
09a Random seeds.mp4
10 Vectorized operations.mp4
11 Vectorized operations with two arrays.mp4
12 Commonly used methods.mp4
13 Exercises 2.mp4
exercises-2.txt
14 Exercise solutions 2.mp4
Section 3: Indexing
NumPy course, section 3.ipynb
15 Fancy indexing.mp4
16 Boolean indexing.mp4
17 Views vs copies.mp4
18 Selecting with boolean indexes.mp4
19 Evens and odds.mp4
20 Exercises 3.mp4
exercises-3.txt
21 Exercise solutions 3.mp4
22 Complex conditions.mp4
23 Exercises 4.mp4
exercises-4.txt
24 Exercise solutions 4.mp4
25 Assigning via indexes.mp4
26 Exercises 5.mp4
exercises-5.txt
27 Exercise solutions 5.mp4
Section 4: Data types
NumPy course, section 4.ipynb
28 dtypes
29 Setting dtypes
30 Setting the dtype attribute
31 Using astype
32 String lengths
33 Exercises 6
exercises-6.txt
34 Exercise solutions 6
35 Complex numbers.mp4
36 Booleans vs. integers.mp4
37 Setting print options.mp4
Section 5: nan
NumPy course, section 5.ipynb
38 The need for nan.mp4
39 Filtering with isnan.mp4
40 Making sure that nan will work in your array.mp4
41 Replacing nan values with the mean.mp4
42 Exercises 7.mp4
exercises-7.txt
43 Exercise solutions 7.mp4
44 inf and nan.mp4
Section 6: Multidimensional NumPy
NumPy course, section 6.ipynb
45 Array shapes.mp4
46 Multi-dimensional retrievals.mp4
47 Exercises 8.mp4
exercises-8.txt
48 Exercise solutions 8.mp4
49 Assigning to 2d arrays.mp4
50 Axes and NumPy methods.mp4
51 argmin and argmax.mp4
52 Flattening arrays.mp4
53 Transposing.mp4
54 Sorting.mp4
55 Concatenating arrays.mp4
56 Exercises 9
exercises-9.txt
57 Exercise solutions 9
Section 7: Input and output
58 Intro to NumPy IO
59 Storing with np.save
60 Loading with np.load
61 mmap_mode
62 Saving and loading npz
63 Storing CSV files with np.savetxt
64 Loading CSV files with np.loadtxt
65 Exercises 10.mp4
NumPy course, section 7.ipynb
66 Exercise solutions 10.mp4
Section 8: Matplotlib
NumPy course, section 8.ipynb
67 Intro to Matplotlib.mp4
68 Basic plots.mp4
69 Format strings.mp4
70 Bar plots.mp4
71 Histograms.mp4
72 Pie plots.mp4
73 Exercises 11.mp4
exercises-11.txt
cisco_stock.csv
74 Exercise solutions 11.mp4
Section 9: Conclusion
Conclusion
PDFs of slides
01 Data science intro
02 Jupyter notebook
03 NumPy
04 NumPy indexes
05 NumPy's nan
06 NumPy and multidimensional arrays
07 NumPy and input-output
Learn more
Buy now
Unlock the power of data science in Python
Section 1: Introduction
4 Lessons
01 Welcome.mov
02 What is NumPy?
03 Installing NumPy
04 Importing NumPy
Section 2: Basic NumPy arrays
14 Lessons
NumPy course, section 2.ipynb
05 What is a NumPy array?
06 Creating NumPy arrays
07 Exercises 1
exercises-1.txt
08 Exercise solutions 1
09 Generating random arrays
09a Random seeds.mp4
10 Vectorized operations.mp4
11 Vectorized operations with two arrays.mp4
12 Commonly used methods.mp4
13 Exercises 2.mp4
exercises-2.txt
14 Exercise solutions 2.mp4
Section 3: Indexing
17 Lessons
NumPy course, section 3.ipynb
15 Fancy indexing.mp4
16 Boolean indexing.mp4
17 Views vs copies.mp4
18 Selecting with boolean indexes.mp4
19 Evens and odds.mp4
20 Exercises 3.mp4
exercises-3.txt
21 Exercise solutions 3.mp4
22 Complex conditions.mp4
23 Exercises 4.mp4
exercises-4.txt
24 Exercise solutions 4.mp4
25 Assigning via indexes.mp4
26 Exercises 5.mp4
exercises-5.txt
27 Exercise solutions 5.mp4
Section 4: Data types
12 Lessons
NumPy course, section 4.ipynb
28 dtypes
29 Setting dtypes
30 Setting the dtype attribute
31 Using astype
32 String lengths
33 Exercises 6
exercises-6.txt
34 Exercise solutions 6
35 Complex numbers.mp4
36 Booleans vs. integers.mp4
37 Setting print options.mp4
Section 5: nan
9 Lessons
NumPy course, section 5.ipynb
38 The need for nan.mp4
39 Filtering with isnan.mp4
40 Making sure that nan will work in your array.mp4
41 Replacing nan values with the mean.mp4
42 Exercises 7.mp4
exercises-7.txt
43 Exercise solutions 7.mp4
44 inf and nan.mp4
Section 6: Multidimensional NumPy
16 Lessons
NumPy course, section 6.ipynb
45 Array shapes.mp4
46 Multi-dimensional retrievals.mp4
47 Exercises 8.mp4
exercises-8.txt
48 Exercise solutions 8.mp4
49 Assigning to 2d arrays.mp4
50 Axes and NumPy methods.mp4
51 argmin and argmax.mp4
52 Flattening arrays.mp4
53 Transposing.mp4
54 Sorting.mp4
55 Concatenating arrays.mp4
56 Exercises 9
exercises-9.txt
57 Exercise solutions 9
Section 7: Input and output
10 Lessons
58 Intro to NumPy IO
59 Storing with np.save
60 Loading with np.load
61 mmap_mode
62 Saving and loading npz
63 Storing CSV files with np.savetxt
64 Loading CSV files with np.loadtxt
65 Exercises 10.mp4
NumPy course, section 7.ipynb
66 Exercise solutions 10.mp4
Section 8: Matplotlib
11 Lessons
NumPy course, section 8.ipynb
67 Intro to Matplotlib.mp4
68 Basic plots.mp4
69 Format strings.mp4
70 Bar plots.mp4
71 Histograms.mp4
72 Pie plots.mp4
73 Exercises 11.mp4
exercises-11.txt
cisco_stock.csv
74 Exercise solutions 11.mp4
Section 9: Conclusion
1 Lesson
Conclusion
PDFs of slides
7 Lessons
01 Data science intro
02 Jupyter notebook
03 NumPy
04 NumPy indexes
05 NumPy's nan
06 NumPy and multidimensional arrays
07 NumPy and input-output