Learn The A-Z Of Python Programming A Masterclass

Last updated 6/2022MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 6.61 GB | Duration: 14h 12m

The complete Python training course. Learn A-Z of Python. Along with 100+ live projects

You will master the Python programming language by understanding it from the basics to the advanced and building 100 unique projects over 100 days.

You will learn automation, game, app and web development, data science and machine learning all using Python.

You will get to learn Python programming from experienced professional software developers who work on live projects.

Acquire the pre-requisite Python skills to move into specific branches - Machine Learning, Data Science, etc..

You will learn Selenium, Beautiful Soup, Request, Flask, Pandas, NumPy, Scikit Learn, Plotly, and Matplotlib.

Understand how to create your own Python programs. Our course includes loads of resources which has able Python programming codes for you to practice

Understand both Python 2 and Python 3, even if you are new to programming.

Have the skills and understanding of Python to confidently apply for Python programming jobs.

Add the Python Object-Oriented Programming (OOP) skills to your resume and be ready to pick up high paying jobs.

No programming experience is required here, but it can be good if you have some coding knowledge.

Hello Dear Students, Are you, a. New to programming and do not know where to start from.b. Know the basics of python programming and want to get into advanced level.c. Build a career in Data Science and hence want to learn python.Then you have come to the right place. Python can be used in several areas, including testing, web development, app development and upgrades, and scriptwriting, to name a few. Python’s automatic memory management and dynamic type system support different programming standards. If you acquire this skill, you will have more Python career opportunities than you can imagine. Python opens for you several avenues that no other programming language can.Python is known for being robust, scalable and provides extensible visualization and graphics options. Hence it’s widely used in Data Science.This course is built block by block so that you are able to learn Python from the basics to the advanced level. At the end of every module of this course comes quizzes to check on your understandings. There will also be several projects that we have included in this course so that it gives you a first hand view of python programming.This course is aimed at complete bners who have never programmed before, as well as existing programmers who want to increase their career options by learning Python. The course offers hands-on development experience and will prepare you for an exciting and accelerated career in Python programming.The fact is, Python is one of the most popular programming languages in the world – Huge companies like Google use it in mission critical applications like Google Search.And Python is the number one language choice for machine learning, data science and artificial intelligence. To get those high paying jobs you need an expert knowledge of Python, and that’s what you will get from this course.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.What can you do with python? Data analysis and machine learning.Web development.Automation or scripting.Software testing and prototyping.Everyday tasks.Why is Python so popular?Python is popular for a number of reasons. Here’s a deeper look at what makes it so versatile and easy to use for coders.It has a simple syntax that mimics natural language, so it’s easier to read and understand. This makes it quicker to build projects, and faster to improve on them.It’s versatile. Python can be used for many different tasks, from web development to machine learning.It’s bner friendly, making it popular for entry-level coders.It’s open source, which means it’s free to use and distribute, even for commercial purposes.Python’s archive of modules and libraries—bundles of code that third-party users have created to expand Python’s capabilities—is vast and growing.Python has a large and active community that contributes to Python’s pool of modules and libraries, and acts as a helpful resource for other programmers. The vast support community means that if coders run into a stumbling block, finding a solution is relatively easy; somebody is bound to have encountered the same problem before.So lets b to learn Python Programming with Cloud ConneKtWhat you’ll learnYou will master the Python programming language by understanding it from the basics to the advanced and building 100 unique projects over 100 days.You will learn automation, game, app and web development, data science and machine learning all using Python.You will get to learn Python programming from experienced professional software developers who work on live projects.Acquire the pre-requisite Python skills to move into specific branches - Machine Learning, Data Science, etc..You will learn Selenium, Beautiful Soup, Request, Flask, Pandas, NumPy, Scikit Learn, Plotly, and Matplotlib.Understand how to create your own Python programs. Our course includes loads of resources which has able Python programming codes for you to practiceUnderstand both Python 2 and Python 3, even if you are new to programming.Have the skills and understanding of Python to confidently apply for Python programming jobs.Add the Python Object-Oriented Programming (OOP) skills to your resume and be ready to pick up high paying jobs.Are there any course requirements or prerequisites?No programming experience is required here, but it can be good if you have some coding knowledge.Who this course is for:This Python course is for bners and also mid level python programmers. This course will take you from the basics to the advanced level of python programming.

Section 1: Python Programming Basics - An Introduction

Lecture 1 What is Programming

Lecture 2 An Introduction to Python Programming

Section 2: Python Programming basics - Variables and Data Types

Lecture 3 Data Types

Lecture 4 Understanding Variables

Lecture 5 Operators

Section 3: Python Programming Basics - Loops - Patterns, While Loop And For Loops

Lecture 6 Introduction to If Else

Lecture 7 IF Else - Some Examples

Lecture 8 El IF an Introduction

Lecture 9 And Or Not

Lecture 10 Nested If Else

Lecture 11 Example 1 - Greatest of 3 numbers

Lecture 12 Example 2 - Odd and even

Lecture 13 While Loop

Lecture 14 For Loop

Lecture 15 Jump Statements

Lecture 16 Nested Loops

Lecture 17 Example 3 - Loops

Lecture 18 Lets Code

Section 4: Lists, Tuples, Sets, Dictionaries, And Comprehension

Lecture 19 Lists

Lecture 20 Tuples

Lecture 21 List Slicing

Lecture 22 Dictionary

Lecture 23 Dictitionary Part 2

Lecture 24 Dictionary Practice

Lecture 25 Set

Lecture 26 Set Part 2

Lecture 27 Question Explanation

Lecture 28 Lets Code

Lecture 29 Lets Code

Section 5: Functions

Lecture 30 Understanding what is Functions

Lecture 31 Understanding what is Functions_Part 2

Lecture 32 Example Function

Lecture 33 Function Arguments

Lecture 34 Function Keyword Arguments

Lecture 35 Lets Code

Section 6: Strings and Arrays

Lecture 36 Strings

Lecture 37 Strings Continued

Lecture 38 Strings Formatting

Lecture 39 Strings Method

Lecture 40 Arrays

Lecture 41 Lets Code

Section 7: Searching and Sorting

Lecture 42 Linear Search

Lecture 43 Binary Search Explanation

Lecture 44 Binary Search Iterative

Lecture 45 Binary Search Recursive

Lecture 46 Bubble Sort

Lecture 47 Insertion Sort

Lecture 48 Merge Sort

Section 8: Lambda Function

Lecture 49 Lambda Function

Lecture 50 Map

Lecture 51 Filter

Lecture 52 Sort

Lecture 53 List Comprehension

Lecture 54 Lets Code

Section 9: Errors and Exception Handling

Lecture 55 Error and Exception Handling Part 1

Lecture 56 Error and Exception Handling Part 2

Lecture 57 Keywords

Lecture 58 Lets Code

Section 10: Recursion

Lecture 59 Recursion - An Introduction

Lecture 60 Lets Code

Section 11: Object Oriented Programming

Lecture 61 All about Object Oriented Programming (OOPS)

Lecture 62 Example Part 1

Lecture 63 Example Part 2

Lecture 64 Lets Code

Section 12: Python Files and Modules

Lecture 65 File handling

Lecture 66 Json

Lecture 67 Modules

Lecture 68 Lets Code

Section 13: Advanced Concepts

Lecture 69 Iterators

Lecture 70 Generators

Lecture 71 Decorators

Lecture 72 Lets Code

Section 14: Projects

Lecture 73 Calculator

Lecture 74 Rock Paper Scissor

Lecture 75 Guessing the number

Lecture 76 Dice Simulator

Lecture 77 Mean Median Mode

Lecture 78 Age Calculation

Lecture 79 Calendar

Lecture 80 Random Password Generator

Lecture 81 Tic Tac Toe

Lecture 82 Lets Code

This Python course is for bners and also mid level python programmers. This course will take you from the basics to the advanced level of python programming.

HomePage:

https://www.udemy.com/course/python-programming-from-basics-to-the-advanced-full-course/