Course / Course Details

Loops and formatting in python

  • Gayathri Perumal image

    By - Gayathri Perumal

  • 0 students
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  • (0)

Course Description

  • Master two essential Python programming concepts: loops and string formatting. This course is designed for beginners who want to write cleaner, more efficient, and dynamic Python code. You’ll learn how to automate repetitive tasks using for and while loops, control loop execution with break and continue statements, and format output professionally using f-strings, format methods, and string manipulation techniques. Through practical examples and coding exercises, you’ll build confidence in writing Python programs used in real-world development.

Course Outcomes

  • Understand the purpose and usage of loops in Python
  • Work with for loops and while loops effectively
  • Use break, continue, and pass statements for loop control
  • Implement nested loops for solving complex programming tasks
  • Iterate through strings, lists, tuples, and dictionaries
  • Format strings using f-strings, .format(), and string interpolation
  • Align, pad, and customize text output formatting
  • Build interactive Python programs using loops and formatted output
  • Debug common mistakes related to loops and formatting
  • Write clean, efficient, and readable Python code

Course Curriculum

  • 1 chapters
  • 31 lectures
  • 0 quizzes
  • N/A total length
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1 Python Part 1 Getting started with Python
29.3 Min


2 Python Part 2 Setting up and using Visual Studio Code
29.01 Min


3 Python Part 3 Ranges loops and formatting
38.44 Min


4 Python Part 4 Virtual Environments
9.12 Min


5 Python Part 5 Modules
22.42 Min


6 Python Part 6 Debugging
16.16 Min


7 Python Part 7a Sequences iterating using for loops
34.07 Min


8 Python Part 7b Sequences slicing
21.3 Min


9 Python Part 7c Sequences other techniques
28.25 Min


10 Python Part 8 List Comprehensions
14.14 Min


11 Python Part 9 Files and Folders
33.26 Min


12 Python Part 10 Sets
25.1 Min


13 Python Part 11 Dictionaries
21.4 Min


14 Python Part 12a Functions
32.46 Min


15 Python Part 12b Advanced Functions
33.3 Min


16 Python Part 13 Error trapping
25.13 Min


17 Python Part 14a Working with numbers
8.53 Min


18 Python Part 14b Working with Booleans
9.18 Min


19 Python Part 14c Working with dates and times
13.54 Min


20 Python Part 14d Working with strings
35.02 Min


21 Python Part 15 Scraping websites
50.02 Min


22 Python Part 16a Linking to SQL Server
26.33 Min


23 Python Part 16b Linking to CSV files
17.03 Min


24 Python Part 16c Linking to JSON files
17.34 Min


25 Python Part 17a Excel using openpyxl
31.14 Min


26 Python Part 17b VBA using pywin32
33.14 Min


27 Python Part 18 NumPy
1 Hour


28 Python Part 19 Pandas
1 Hour


29 Python Part 20 Power BI Desktop
8.11 Min


30 Python Part 21a Classes
53.49 Min


31 Python Part 21b Classes case study
45.1 Min


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