Pearson Python Zero To Coder Proper

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00001 Introduction.mp4

03:12

00002 Learning objectives.mp4

00:42

00003 1.1 Install Python and PyCharm.mp4

11:07

00004 1.2 Run your first Python code.mp4

14:33

00005 1.3 Get more context - understand what programming is.mp4

10:39

00006 Learning objectives.mp4

00:57

00007 2.1 Learn about types.mp4

05:26

00008 2.2 Work with variables.mp4

12:51

00009 2.3 Debug errors.mp4

12:54

00010 2.4 Use libraries.mp4

09:03

00011 2.5 Get more context - learn about Python.mp4

08:05

00012 2.6 Write your own functions.mp4

18:21

00013 2.7 Manipulate strings.mp4

13:39

00014 2.8 Write a Mad Libs program.mp4

07:45

00015 Learning objectives.mp4

01:01

00016 3.1 Get more context - solve problems like a programmer.mp4

09:55

00017 3.2 Identify true and false statements.mp4

08:56

00018 3.3 Use conditional if statements.mp4

13:47

00019 3.4 Write a number-guessing game.mp4

11:08

00020 Learning objectives.mp4

01:12

00021 4.1 Use a while loop.mp4

09:42

00022 4.2 Improve the number guessing game with while loops.mp4

08:38

00023 4.3 Create and manipulate lists.mp4

13:41

00024 4.4 Loop over lists with for loops.mp4

15:42

00025 4.5 Write a word-guessing game.mp4

21:03

00026 4.6 Get more context - clean up and test your code.mp4

17:24

00027 Learning objectives.mp4

01:48

00028 5.1 Get more context - discuss how to keep learning.mp4

08:48

00029 5.2 Look at more data structures.mp4

14:38

00030 5.3 Create list comprehensions.mp4

08:15

00031 5.4 Read files.mp4

06:21

00032 5.5 Write more complex functions.mp4

11:15

00033 5.6 Program with classes.mp4

10:37

00034 5.7 Import external libraries.mp4

08:29

00035 5.8 Manage virtual environments.mp4

12:44

00036 Learning objectives.mp4

00:56

00037 6.1 Look at the ecosystem.mp4

04:52

00038 6.2 Set up Anaconda in Jupyter.mp4

04:59

00039 6.3 Import a dataset.mp4

06:14

00040 6.4 Plot the data.mp4

16:55

00041 6.5 Clean some data.mp4

16:04

00042 Learning objectives.mp4

01:12

00043 7.1 Look at the anatomy of a web app.mp4

12:03

00044 7.2 Start a web app with Flask.mp4

13:54

00045 7.3 Learn the basics of HTML and CSS.mp4

16:33

00046 7.4 Fill in website functionality.mp4

13:30

00047 7.5 Understand some JavaScript and JQuery.mp4

14:53

00048 7.6 Get more context - databases and deployment.mp4

17:12

00049 Introduction to Python - Summary.mp4

00:23

00050 Introduction.mp4

02:00

00051 Learning objectives.mp4

00:58

00052 1.1 Setup your environment.mp4

03:20

00053 1.2 Review functions conditionals and lists.mp4

11:36

00054 1.3 Store data in dictionaries.mp4

11:23

00055 1.4 Handle exceptions.mp4

08:59

00056 1.5 Work with dates and times.mp4

12:06

00057 1.6 Use regular expressions.mp4

16:24

00058 Learning objectives.mp4

00:22

00059 2.1 Read data from a file.mp4

10:53

00060 2.2 Write data to a file.mp4

08:18

00061 2.3 Read and write to CSV files.mp4

10:55

00062 Learning objectives.mp4

00:46

00063 3.1 Work with the command line.mp4

10:08

00064 3.2 Install external libraries using pip.mp4

05:47

00065 3.3 Create virtual environments using venv.mp4

12:18

00066 3.4 Understand git and GitHub.mp4

13:06

00067 3.5 Set up your code to be shared.mp4

12:01

00068 3.6 Clone a project.mp4

03:25

00069 Learning objectives.mp4

00:38

00070 4.1 Explore Jupyter notebooks and Spyder for data science.mp4

08:31

00071 4.2 Compare PyCharm and VS Code for software development.mp4

07:03

00072 4.3 Configuring PyCharm.mp4

09:03

00073 4.4 Learning PyCharm shortcuts.mp4

16:03

00074 Learning objectives.mp4

00:32

00075 5.1 Look at modules and imports.mp4

13:20

00076 5.2 Understand the use of init .py files.mp4

11:46

00077 5.3 Learn about namespaces and scope in Python.mp4

10:18

00078 Learning objectives.mp4

00:37

00079 6.1 Debug with PyCharm s debugger tool.mp4

10:27

00080 6.2 Testing with unittest and pytest.mp4

16:33

00081 6.3 Practice testing.mp4

10:42

00082 6.4 Practice debugging.mp4

15:09

00083 Learning objectives.mp4

00:46

00084 7.1 Use the Requests library to make HTTP requests.mp4

09:59

00085 7.2 Review web pages and HTML.mp4

07:20

00086 7.3 Parse HTML documents with Beautiful Soup.mp4

09:10

00087 7.4 Scrape authenticated sites.mp4

05:47

00088 7.5 Make API requests.mp4

14:57

00089 Learning objectives.mp4

00:50

00090 8.1 Discuss the project and web scraping ethics.mp4

04:52

00091 8.2 Set up the environment.mp4

04:50

00092 8.3 Scrape data from Wikipedia.mp4

13:07

00093 8.4 Save table data as CSV.mp4

06:38

00094 8.5 Get detailed data from Wikipedia.mp4

18:28

00095 8.6 Refactor code in PyCharm.mp4

15:02

00096 Learning objectives.mp4

00:28

00097 9.1 Run your code in the cloud.mp4

15:55

00098 9.2 Create an Anvil web app.mp4

12:53

00099 Next Level Python - Summary.mp4

00:57

intro-to-python-livelessons-master.zip

next-level-python-livelessons-main.zip

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