Intermediate Python Course

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Intermediate Python Course

Level: Intermediate
Modules: 54 Modules
Duration: 8 hours, 15 minutes
Students: 0

The Intermediate Python Course is designed to elevate your understanding of Python to new heights. As you progress through this course, you’ll delve deeper into core programming concepts, advancing your skills with loops, functions, object-oriented programming, and much more. Whether you’re looking to refine your existing knowledge or gain mastery over Python’s built-in modules and packages, this course is your gateway to confidently writing more sophisticated and efficient code. The Intermediate Python Course ensures that you’re equipped with all the theoretical understanding necessary to tackle challenges and build powerful applications. Step up from the basics and take on a learning journey that focuses on solidifying your foundations while expanding your horizons in Python programming. The Intermediate Python Course will guide you through essential topics, preparing you for the next step in your coding journey.

Learning Outcomes

Strengthen Python foundations through advanced concepts.
Master loops and functions for better coding efficiency.
Gain a thorough understanding of object-oriented programming.
Work effectively with Python’s built-in modules and libraries.
Handle files and exceptions with confidence.
Utilize powerful Python packages like Numpy for data manipulation.

Why buy this Intermediate Python Course?

Unlimited access to the course for forever
Digital Certificate, Transcript, student ID all included in the price
Absolutely no hidden fees
Directly receive CPD accredited qualifications after course completion
Receive one to one assistance on every weekday from professionals
Immediately receive the PDF certificate after passing
Receive the original copies of your certificate and transcript on the next working day
Easily learn the skills and knowledge from the comfort of your home

Certification

After studying the course materials of the Intermediate Python Course there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99. Original Hard Copy certificates need to be ordered at an additional cost of £8.

Who is this Intermediate Python Course for?

Programmers with basic Python knowledge looking to advance their skills.
Anyone interested in deepening their understanding of Python concepts.
Individuals preparing for more advanced programming challenges.
Students seeking to strengthen their theoretical knowledge of Python.
Developers wanting to explore object-oriented programming in Python.
Learners aiming to enhance their problem-solving capabilities with Python.

Prerequisites

This Intermediate Python Course does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Intermediate Python Course was made by professionals, and it is compatible with all PC’s, Mac’s, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.

Career path

Junior Python Developer: £30,000 to £45,000 per year
Data Analyst: £25,000 to £40,000 per year
Automation Tester: £28,000 to £45,000 per year
Backend Developer: £35,000 to £55,000 per year
DevOps Engineer: £40,000 to £65,000 per year
Machine Learning Engineer: £45,000 to £70,000 per year

Course Curriculum

Module 01: Python basic recap
	Variables and data types	00:11:00
	Data structures	00:11:00
	Set methods(add, copy, union, intersection, difference etc)	00:08:00
	Dict methods(keys, values, items, get, setDefault etc)	00:05:00
	Complex structures(list of lists, list of dicts, dict of lists etc)	00:05:00
	Conditional statements	00:06:00
	Loops in python	00:08:00
	Functions in python	00:05:00
	Exercise (m1)	00:06:00
Module 02: Deep dive into Loops
	Iterating through list,dictionaries, set	00:11:00
	Zip and enumerate	00:13:00
	List comprehension	00:09:00
	Nested loops	00:07:00
	Big O notation and space-time trade-off	00:16:00
	Exercise (m2)	00:08:00
Module 03: Deep dive into functions
	Scope in python (local scope, global scope)	00:10:00
	Passing multiple arguments(args, *kwargs)	00:09:00
	Returning multiple values	00:08:00
	Lambda functions	00:05:00
	Map, apply, filter,reduce	00:08:00
	Callbacks	00:05:00
	Nested functions	00:05:00
	Recursion	00:07:00
	Exercise (m3)	00:10:00
Module 04: OOP concepts
	What is Class	00:12:00
	Creating an empty Class in Python	00:06:00
	Creating an object	00:08:00
	Creating a class and object with class and instance attributes	00:08:00
	Attributes and methods	00:08:00
	Creating modules and importing them	00:08:00
	Exercise (m4)	00:17:00
Module 05: Built-in modules
	Math module(pi, sqrt, pow, exp, log, Trigonometric functions)	00:08:00
	Re module(findall, search, split, sub)	00:10:00
	OS module(mkdir, chdir, getcwd,rmdir,listdir)	00:10:00
	Random(choice, shuffle, random, randint,randrange)	00:06:00
	Time module(time, sleep, localtime, ctime,asctime)	00:06:00
	Collections module(namedtuple,OrderedDict,deque)	00:09:00
	Itertools module(chain.from_iterable, combinations,combinations_with_replacement,permutations)	00:06:00
	Exercise (m5)	00:18:00
Module 06: File and Exception Handling
	Reading from a file	00:11:00
	Writing to a file	00:07:00
	Common exceptions	00:06:00
	ZerodivisionError	00:06:00
	FileNotFoundError	00:04:00
	TypeError	00:04:00
	IndexingError	00:04:00
	Exercise (m6)	00:05:00
Module 07: Using python packages(Numpy)
	Packages vs modules	00:10:00
	Installing a python package	00:06:00
	Using the objects of the package	00:14:00
	Intro to numpy	00:07:00
	Creating arrays using numpy	00:08:00
	Exercise (m7)	00:07:00
Capstone Project:
	Creating a tic-tac-toe app in notebook (topics: conditions, loops, OOP)	01:00:00