Python Programming Complete Course - Beginner To Advanced (Updated 2025)

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• Section 01: Python basic recap 1:11:17

  • 1: 1. Variables and data types 11:27
  • 2: 2. Data structures 11:39
  • 3: 3. Set methods(add, copy, union, intersection, difference etc) 08:27
  • 4: 4. Dict methods(keys, values, items, get, setDefault etc) 05:26
  • 5: 5. Complex structures(list of lists, list of dicts, dict of lists etc) 08:16
  • 6: 6. conditional statements 06:46
  • 7: 7. Loops in python 08:40
  • 8: 8. Functions in python 04:43
  • 9: 9. exercise 05:53

• Section 02: Deep dive into Loops 59:23

  • 10: 1. Iterating through list,dictionaries, set 11:19
  • 11: 2. Zip and enumerate 13:51
  • 12: 3. List comprehension 08:49
  • 13: 4. Nested loops 00:17
  • 14: 5. Big O notation and space-time trade-off 16:28
  • 15: 6. exercise 08:39

• Section 03: Deep dive into functions 1:08:51

  • 16: 1. Scope in python (local scope, global scope) 09:59
  • 17: 2. Passing multiple arguments(args, kwargs) 09:12
  • 18: 3. Returning multiple values 07:57
  • 19: 4. Lambda functions 05:41
  • 20: 5. Map, apply, filter,reduce 08:17
  • 21: 6. callbacks 05:01
  • 22: 7. Nested functions 05:05
  • 23: 8. Recursion 07:12
  • 24: 9. exercise 10:27

• Section 04: OOP concepts 1:09:14

  • 25: 1. What is Class 12:36
  • 26: 2. Creating an empty Class in Python 06:31
  • 27: 3. Creating an object 08:25
  • 28: 4. Creating a class and object with class and instance attributes 08:39
  • 29: 5. Attributes and methods 07:45
  • 30: 6. Creating modules and importing them 07:56
  • 31: 7. exercise 17:22

• Section 05: Built-in modules 1:14:04

  • 32: 1. Math module(pi, sqrt, pow, exp, log, Trigonometric functions) 08:17
  • 33: 2. Re module(findall, search, split, sub) 09:46
  • 34: 3. OS module(mkdir, chdir, getcwd,rmdir,listdir) 09:53
  • 35: 4. random(choice, shuffle, random, randint,randrange) 06:19
  • 36: 5. Time module(time, sleep, localtime, ctime,asctime) 05:51
  • 37: 6. Collections module(namedtuple,OrderedDict,deque) 09:05
  • 38: 7. Itertools module(chain.from_iterable, 06:10
  • 39: 8. combinations,combinations_with_replacement,permutations) 18:43

• Section 06: File and Exception Handling 47:41

  • 40: 1. Reading from a file 08:28
  • 41: 2. Writing to a file 07:02
  • 42: 3. Common exceptions 06:41
  • 43: 4. ZerodivisionError 06:14
  • 44: 5. FileNotFoundError 04:39
  • 45: 6. TypeError 04:35
  • 46: 7. IndexingError 04:38
  • 47: 8. Exercise 05:24

• Section 07: Using python packages(Numpy) 55:44

  • 48: 1. Packages vs modules 10:25
  • 49: 2. Installing a python package 06:16
  • 50: 3. Using the objects of the package 13:50
  • 51: 4. Intro to numpy 06:50
  • 52: 5. Creating arrays using numpy 08:41
  • 53: 6. Exercise 07:42
  • 54: Leave a Review 01:00
  • 55: Certificate & Transcript 01:00

Intermediate Python Programming Course Curriculum

Section 01: Python basic recap

• Variables and data types
• Data structures
• Set methods(add, copy, union, intersection, difference etc)
• Dict methods(keys, values, items, get, setDefault etc)
• Complex structures(list of lists, list of dicts, dict of lists etc)
• conditional statements
• Loops in python
• Functions in python
• exercise

Section 02: Deep dive into Loops

• Iterating through list,dictionaries, set
• Zip and enumerate
• List comprehension
• Nested loops
• Big O notation and space-time trade-off
• exercise

Section 03: Deep dive into functions

• Scope in python (local scope, global scope)
• Passing multiple arguments(*args, **kwargs)
• Returning multiple values
• Lambda functions
• Map, apply, filter,reduce
• callbacks
• Nested functions
• Recursion
• exercise

Section 04: OOP concepts

• What is Class
• Creating an empty Class in Python
• Creating an object
• Creating a class and object with class and instance attributes
• Attributes and methods
• Creating modules and importing them
• exercise

Section 05: Built-in modules

• Math module(pi, sqrt, pow, exp, log, Trigonometric functions)
• Re module(findall, search, split, sub)
• OS module(mkdir, chdir, getcwd,rmdir,listdir)
• random(choice, shuffle, random, randint,randrange)
• Time module(time, sleep, localtime, ctime,asctime)
• Collections module(namedtuple,OrderedDict,deque)
• Itertools module(chain.from_iterable,
• combinations,combinations_with_replacement,permutations)
• Exercise

Section 06: File and Exception Handling

• Reading from a file
• Writing to a file
• Common exceptions
• ZerodivisionError
• FileNotFoundError
• TypeError
• IndexingError
• Exercise

Section 07: Using python packages(Numpy)

• Packages vs modules
• Installing a python package
• Using the objects of the package
• Intro to numpy
• Creating arrays using numpy
• Exercise

Accreditation

All of our courses are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field.

Certification

Once you’ve successfully completed your Intermediate Python Programming course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). Our Intermediate Python Programming certifications have no expiry dates, although we do recommend that you renew them every 12 months.

This Intermediate Python Programming Course can be taken by anyone who wants to understand more about the topic. With the aid of this course, you will be able to grasp the fundamental knowledge and ideas. Additionally, this Intermediate Python Programming Course is ideal for:

• Python beginners wanting intermediate skills.
• Developers expanding Python programming knowledge.
• Students studying computer science courses.
• Professionals switching to Python programming.
• Enthusiasts interested in Python packages.

Learners do not require any prior qualifications to enrol on this Intermediate Python Programming Course. You just need to have an interest in Intermediate Python Programming.

After completing this Intermediate Python Programming Course you will have a variety of careers to choose from. The following job sectors of Intermediate Python Programming Course are:

• Python Developer
• Data Analyst
• Software Engineer
• Machine Learning Engineer
• Backend Developer
• Automation Tester

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