Python Programming from Basics to Advanced

Name: Python Programming from Basics to Advanced
Rating: 4.2 (129 reviews)

Python: Learn to code with Python programming language. Start coding in Python. Python Programming for Beginners, Python

Created byRahul Tiwari

Last updated 7/2021

English

What you'll learn

Have a fundamental understanding of the Python programming language
Have the skills and understanding of Python to confidently apply for Python programming jobs
Acquire the pre-requisite Python skills to move into specific branches - Machine Learning, Data Science, etc
Add the Python Object-Oriented Programming (OOP) skills to your Resume
Understand how to create your own Python programs
Learn Advanced Python concepts like Multithreading, Regular Expressions, Exceptional Handling and connecting to Databases using Python
Learn about Data Science relevant packages like Pandas, Numpy, Matplotlib and Seaborn in detail
Advanced Data Science concepts like Feature scaling, Encoding, Missing value treatment and Outlier treatment
Learn Python from experienced professional software developers

Course content

24 sections • 81 lectures • 62h 10m total length

Slack Details for Communication0:06

Live Session 0 - 06072021 - Data Analysis using Python - Video Games30:26
Explore data analysis with Python by examining a video game sales dataset to derive key KPIs, compare regional and global sales, identify top platforms and publishers, and visualize insights.
Live Session 1 - 08072021 - Basic Programming & Bug Fixing in Python1:00:32
Code Link:
https://github.com/dsrahul08/Live-Sessions/blob/main/Live%20Session%201%20(8JULY2021)%20-%20Basic%20programming%20%26%20bug-fixing%20in%20Python.ipynb

How this course helped a fresher10:07
Learn how mastering Python fundamentals through this course helps freshers excel in interviews, articulate projects, and apply logical thinking across technical rounds and aptitude assessments.
About Instructor and the Feedback3:14
Discover the instructor's teaching approach and the role of feedback in mastering Python programming from basics to advanced topics.
Python history and features1:14:09
Defining various ways to install and run Python programs. A brief introduction about Python like its various applications, versions. Why you should go for Python programming by understanding its various features

Python Data Types - Part 11:19:51
Understand Python Identifiers and what are the various rules to define Identifiers. Get to know about Reserve words in Python and various reserve words used in python. Describing the various Fundamental Data Types available in Python. Int,complex,boolean,str etc.
Python Data Types - Part 259:17
Explore Python data types and their memory behavior. Learn immutability concepts for numbers, strings, and booleans, and mutability for lists, dictionaries, and sets, including range and frozenset details.

Various operators in Python1:15:17
Understanding Operator concept in Python and explaining the various Arithmetic operators with examples
Get to know about the various Relational and Comparison operators in Python with there practical use
Explaining the Logical Operators and there different use in Python
Describing the Equality Operator in Python and test its various use concepts
Discussing the various Bitwise Operators available in Python and shift operators
Understanding the use of Assignment Operators in Python. Single & Compound assignment Operator, Ternary Operator
Get to know about the Special Operator in Python. Identity Operators, Membership Operators
Operators in Python - Part 254:56
Explore Python operators from bitwise and shift to assignment, identity, and membership. Learn how these operators manipulate booleans, integers, and binary data with practical examples.

if - else statements and for loops in python1:00:58
Understanding the concept of flow control and know about the conditional statements present in Python. If,if-else,if-elif,if-elif-else.
Explaining the Iterative statements in Python. for loop, while loop, Nested loop
Learn about various Transfer statements in Python i.e. break, continue, and pass with examples.
while loops in Python1:06:55
Learn when to use while loops versus for loops in Python, with practical examples. The lecture covers range-based loops, break statements, nested loops, and handling user input and sums.

String Operations1:36:36
Describe the concept of String datatype, accessing characters from a string using index and slice operator
Discuss the Mathematical operators that can be applied on the string. +, *
Gain knowledge about various metods present inside String class. lstrip() , rstrip(), strip(), find(), index(), s.count(), s.replace(), s.split(), join(), upper(), lower(), isalnum() etc.
String Operation - Examples32:27
Explore Python string operation techniques through practical examples, including extracting even and odd indexed characters with slices, separating alphabetic and numeric parts, and indexing safely while ignoring special characters.

Functions in Python - Part 11:34:49
Understanding Functions in Python, use of functions, how to write a function, return value, types of parameters accepted by functions, Global variable & Local variable
Explaining the concept of Recursive functions by calling a function inside a function.
Describe Anonymous function, write Lambda expression. Pass function as argument to another functions, filter(), map(), reduce(),
Understand the concept of Function Decorator, Decorator chaining
Understand the concept of Function Generator
What is Modules, Advantages of Module, Access module, Reloading of the module, find members of the module using dir()
Working with Random Module. Functions of Random modules,random(), randint(), uniform(), randrange(), choice()
Discussing the concepts and use of Package in Python.
Functions in Python - Part 255:20
Learn Python variable scope, including global vs local variables, and how global makes variables accessible inside functions. Explore recursion, anonymous lambda functions, and higher-order tools like map and filter.
Functions in Python - Part 350:32
Explore Python's map and reduce, lambda functions, and functional programming basics, including single and nested functions, and introduce decorators to extend existing code without modification.
Functions in Python - Part 455:48
Explore how decorators wrap existing functions in Python to add new behavior without rewriting code. See decorator chaining in action with examples like smart division handling zero division.
Functions in Python - Part 51:02:38
Explore python generators and list comprehensions, compare memory efficiency and streaming data performance, and review module usage and import patterns.
Functions in Python - Part 61:00:49
Explore how Python uses modules and packages to organize code, import and reload, and understand package structure with __init__.py, help, and dir for modular development.

Requirements

A computer - Windows, Mac, and Linux are all supported. Setup and installation instructions are included for each platform.
Your enthusiasm to learn this go-to programming language. It’s a valuable lifetime skill which you can’t un-learn!
Everything else needed to start programming in Python is already included in the course.

Description

Python is the number one language choice for machine learning, data science, and artificial intelligence.

To get those high paying jobs you need expert knowledge of Python, and that’s what you will get from this course. This is the most comprehensive, course for the Python programming language where you can find content for every level either for beginners who have never programmed before or for existing programmers who want to increase their career options or want to learn about the advanced features of Python. This course will teach you Python in a practical manner, with every lecture comes to a full coding screencast and a corresponding code notebook. Here you will get in-depth knowledge of each topic with easy to understand the coding part. After every video, you learn a new valuable concept that you can apply right away. This course includes quizzes, tests, and homework assignments as well as major projects to create a Python project portfolio. By the end of the course, you’ll be able to apply in confidence for Python programming jobs. And yes, this applies even if you have never programmed before. With the right skills which you will learn in this course, you can become employable and valuable in the eyes of future employers.

Python: Learn to code with Python programming language. Start coding in Python. Python Programming for Beginners, Python

Who this course is for:

Beginners with no previous programming experience looking to obtain the skills to get their first programming job
Anyone looking to to build the minimum Python programming skills necessary as a pre-requisites for moving into machine learning, data science, AI
Existing programmers who want to improve their career options by learning the Python programming language
If you are an expert Python programmer with extensive knowledge, and many years’ experience, then this course is probably not for you

Python Programming from Basics to Advanced

What you'll learn

Explore related topics

Course content

Slack Details1 lecture • 1min

Live Sessions2 lectures • 1hr 31min

Python Installation and Introduction3 lectures • 1hr 28min

Python Data Types2 lectures • 2hr 19min

Python Collection Data Types2 lectures • 2hr 1min

Operators in Python2 lectures • 2hr 10min

Input and Output in Python2 lectures • 2hr 4min

Flow Control in Python2 lectures • 2hr 8min

String Operations in Python2 lectures • 2hr 9min

Functions in Python6 lectures • 6hr 20min

Requirements

Description

Who this course is for: