Learn Python Programming (Online)

Unlock your programming potential with our Learn Python Programming (Online) course. This course is designed to teach you Python from basics to advanced concepts. Learn Python Programming (Online) with hands-on exercises, real-world projects, and interactive lessons. Our Learn Python Programming (Online) course ensures you gain practical skills in data structures, loops, functions, OOP, modules, file handling, and Python packages. Learn Python Programming (Online) to master coding, problem-solving, and software development effectively.

This Learn Python Programming (Online) course covers Python basics, advanced functions, OOP concepts, file handling, modules, and libraries. You will learn Python programming techniques including list comprehension, recursion, lambda functions, and Big O notation. Learn Python Programming (Online) with exercises for loops, dictionaries, sets, and nested structures. Python built-in modules like math, os, re, time, random, collections, and itertools are covered in detail. Learn Python Programming (Online) using Numpy for scientific computing and data manipulation. Develop Python skills for automation, data analysis, web development, and scripting.

Learning Outcomes

1. Understand Python variables, data types, and complex data structures effectively.
2. Implement loops, conditional statements, and list comprehension in Python confidently.
3. Apply functions, lambda expressions, and recursion in Python programming efficiently.
4. Create Python classes, objects, attributes, and methods for OOP tasks.
5. Handle files, exceptions, and errors in Python with practical exercises.
6. Use Python packages like Numpy, collections, and itertools for data manipulation.

Course Curriculum

Section 01: Python Basic Recap

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

Section 02: Deep Dive into Loops

• Iterating through lists, dictionaries, sets
• 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 a 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 module (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
• Introduction to Numpy
• Creating arrays using Numpy
• Exercise

Disclaimer:

This is an online course with pre-recorded lessons. You will get access to the course within 48 hours after your enrolment.