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23 Global variables in Python

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Lessons List | 27 Lesson

1 Introduction to the course Learn Python

1 Introduction to the course Learn Python

2 A few words about Python

2 A few words about Python

3 Installing Python via Anaconda

3 Installing Python via Anaconda

5 Spyder and iPython

5 Spyder and iPython

6 Variables in Python

6 Variables in Python

7 How to save your code

7 How to save your code

8 Strings and numbers in Python

8 Strings and numbers in Python

9 If else and indentation in Python

9 If else and indentation in Python

10 Functions in Python

10 Functions in Python

11 Sequences in Python

11 Sequences in Python

11 1 Sequences in Python

11 1 Sequences in Python

12 Collections in Python

12 Collections in Python

13 Working with sequences and strings in Python

13 Working with sequences and strings in Python

14 Iterating in Python

14 Iterating in Python

15 Working with files in Python

15 Working with files in Python

16 Handling files easily in Python

16 Handling files easily in Python

17 Finding and using any library you want in Python

17 Finding and using any library you want in Python

18 Real world example Extracting averages from data files in Python

18 Real world example Extracting averages from data files in Python

19 Code introspection in Python

19 Code introspection in Python

20 Real world example Generating KML files in Python

20 Real world example Generating KML files in Python

21 Interacting with the user in Python

21 Interacting with the user in Python

22 Converting CSV data to a KML file in Python

22 Converting CSV data to a KML file in Python

23 Global variables in Python

23 Global variables in Python

24 Creating a GUI with tkinter in Python

24 Creating a GUI with tkinter in Python

25 Attaching the GUI to your script in Python

25 Attaching the GUI to your script in Python

26 Creating standalone executables out of your Python programs

26 Creating standalone executables out of your Python programs

4 Installing Python the default way

4 Installing Python the default way

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Course Description

Python is commonly used for developing websites and software, task automation, data analysis, and data visualization. Since it's relatively easy to learn, Python has been adopted by many non-programmers such as accountants and scientists, for a variety of everyday tasks, like organizing finances.

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