Python Fundamentals For Beginners

It is the python course from minimum basic and even non- programmer background candidates can learn easily

What you'll learn

Basics in python

Problem solving skills

Analysing the statement to solve

Enhancement over the best and complex code

Requirements

Best laptop or pc

Description

Python is commonly used for developing websites and software, task automation, data analysis, and data visualization. Since it's relatively easy to learn, Python has been adopted by many non-programmers such as accountants and scientists, for a variety of everyday tasks, like organizing finances.“Writing programs is a very creative and rewarding activity,You can write programs for many reasons, ranging from making your living to solving a difficult data analysis problem to having fun to helping someone else solve a problem.”What can you do with python? Some things include:Data analysis and machine learningWeb developmentAutomation or scriptingSoftware testing and prototypingCourseraArticlesDataWhat Is Python Used For? A Beginner’s GuideWhat Is Python Used For? A Beginner’s GuideWritten by Coursera • Updated on Nov 14, 2022SharePython has become one of the most popular programming languages in the world in recent years. It's used in everything from machine learning to building websites and software testing. It can be used by developers and non-developers alike.[Featured image] A software developer coding in Python on her laptop.Python, one of the most popular programming languages in the world, has created everything from Netflix’s recommendation algorithm to the software that controls self-driving cars. Python is a general-purpose language, which means it’s designed to be used in a range of applications, including data science, software and web development, automation, and generally getting stuff done.Let’s take a closer look at what Python is, what it can do, and how you can start learning it.What is Python?Python is a computer programming language often used to build websites and software, automate tasks, and conduct data analysis. Python is a general-purpose language, meaning it can be used to create a variety of different programs and isn’t specialized for any specific problems. This versatility, along with its beginner-friendliness, has made it one of the most-used programming languages today. A survey conducted by industry analyst firm RedMonk found that it was the second-most popular programming language among developers in 2021 [1].Did you know? The name Python comes from Monty Python. When Guido van Rossum was creating Python, he was also reading the scripts from BBC’s Monty Python’s Flying Circus. He thought the name Python was appropriately short and slightly mysterious.What is Python used for?Python is commonly used for developing websites and software, task automation, data analysis, and data visualization. Since it’s relatively easy to learn, Python has been adopted by many non-programmers such as accountants and scientists, for a variety of everyday tasks, like organizing finances.“Writing programs is a very creative and rewarding activity,” says University of Michigan and Coursera instructor Charles R Severance in his book Python for Everybody. “You can write programs for many reasons, ranging from making your living to solving a difficult data analysis problem to having fun to helping someone else solve a problem.”What can you do with python? Some things include:Data analysis and machine learningWeb developmentAutomation or scriptingSoftware testing and prototypingEveryday tasksHere’s a closer look at some of these common ways Python is used.Earn Your DegreeYou are Currently on slide 1Data analysis and machine learningPython has become a staple in data science, allowing data analysts and other professionals to use the language to conduct complex statistical calculations, create data visualizations, build machine learning algorithms, manipulate and analyze data, and complete other data-related tasks.Python can build a wide range of different data visualizations, like line and bar graphs, pie charts, histograms, and 3D plots. Python also has a number of libraries that enable coders to write programs for data analysis and machine learning more quickly and efficiently, like TensorFlow and Keras.Web developmentPython is often used to develop the back end of a website or application—the parts that a user doesn’t see. Python’s role in web development can include sending data to and from servers, processing data and communicating with databases, URL routing, and ensuring security. Python offers several frameworks for web development. Commonly used ones include Django and Flask.Some web development jobs that use Python include back end engineers, full stack engineers, Python developers, software engineers, and DevOps engineers.Read more: How to Become a Web DeveloperAutomation or scriptingIf you find yourself performing a task repeatedly, you could work more efficiently by automating it with Python. Writing code used to build these automated processes is called scripting. In the coding world, automation can be used to check for errors across multiple files, convert files, execute simple math, and remove duplicates in data.Python can even be used by relative beginners to automate simple tasks on the computer—such as renaming files, finding and downloading online content or sending emails or texts at desired intervals.Software testing and prototypingIn software development, Python can aid in tasks like build control, bug tracking, and testing. With Python, software developers can automate testing for new products or features. Some Python tools used for software testing include Green and Requestium.University of MichiganPython for EverybodySpecializationBeginner level· 8 month(s)Skills you'll build:Json, Xml, Python Programming, Database (DBMS), Python Syntax And Semantics, Basic Programming Language, Computer Programming, Data Structure, Tuple, Web Scraping, Sqlite, SQL, Data Analysis, Data Visualization (DataViz)4.8(199,516 ratings)Everyday tasksPython isn't only for programmers and data scientists. Learning Python can open new possibilities for those in less data-heavy professions, like journalists, small business owners, or social media marketers. Python can also enable non-programmers to simplify certain tasks in their lives. Here are just a few of the tasks you could automate with Python:Keep track of stock market or crypto pricesSend yourself a text reminder to carry an umbrella anytime it’s rainingUpdate your grocery shopping listRenaming large batches of filesConverting text files to spreadsheetsRandomly assign chores to family membersFill out online forms automaticallyWhy 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 beginner 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.Ready to get started?For those just starting out, Google’s IT Support Professional Certificate prepares course takers for an entry-level position by teaching such IT support tasks as computer assembly, wireless networking, installing programs, and customer service. GoogleGoogle IT Automation with PythonProfessional CertificateBeginner level· 6 month(s)Skills you'll build:Using Version Control, Troubleshooting & Debugging, Python Programming, Configuration Management, Automation, Basic Python Data Structures, Fundamental Programming Concepts, Basic Python Syntax, Object-Oriented Programming (OOP), Setting up your Development Environment, Regular Expression (REGEX), Testing in Python, Automating System Administration Tasks with Python, Bash Scripting, Using Git, Version Control Systems, Interacting with GitHub, Reverting Changes, Creating Pull Requests, Improving Software Performance, Managing Scarce Resources, Advanced Troubleshooting, Understanding Errors, Finding the Root Cause of a Problem, Automation at Scale, Basic Monitoring & Alerting, Cloud Computing, Using Puppet, Serialization, Building a Solution, Creating and Translating Media Files, Interacting with Web Services4.8(29,775 ratings)Frequently asked questions (FAQ)Should I learn Python 2 or Python 3?‎How long does it take to learn Python?‎Learning the basics of Python can take anywhere from a few weeks to a few months, depending on what you want to learn and how frequently you learn. But since Python has so many uses—and tools to support those uses—you can spend years learning its different applications.Knowing what tasks you want to accomplish and whether you want to use Python in a professional capacity can determine how long your Python journey will be. “It is a lot easier to be a professional programmer today than it was 20 years ago,” says Severance. “You don't need a bachelor's degree or years of experience to get your start in programming. With the increasing popularity of Python, you can gain the necessary skills to begin writing software as part of your job in a few months.”I can promise you guys, can learn the basics of python even the person who is not having basic knowledge over the python or any coding language till date. Enjoy your sessions with best concentration over the tutorials. I am also attaching the materials to understand very easily. I feel guys can rock the entire course and anyways All the best for your future. So then we can start now itself.

Overview

Section 1: Introduction

Lecture 1 Importance and Applications of Programming Languages

Lecture 2 Variables in Programming

Lecture 3 Decision Making Statements

Lecture 4 Looping Statements

Lecture 5 Functions in Programming

Lecture 6 Object Oriented Programming Concepts

Lecture 7 Algorithmic Approach to Solve a Problem

Lecture 8 Intro to Python

Lecture 9 Intro to Jupyter Notebook

Lecture 10 Variables and Data-Types in Python

Lecture 11 Operators in Python

Lecture 12 Tokens in Python

Lecture 13 Strings in Python

Lecture 14 Python Tuples

Lecture 15 List in Python

Lecture 16 Dictionary in Python

Lecture 17 Set in Python

Lecture 18 If Statement in Python

Lecture 19 Looping Statements in Python

Lecture 20 Basic Problems in Python

Lecture 21 Functions in Python

Section 2: OOPs in Python

Lecture 22 Intro to Object Oriented Programming in Python

Lecture 23 Creating the First Class in Python

Lecture 24 Adding Parameters to a Class Method

Lecture 25 Creating a Class with Constructor

Lecture 26 Inheritance in Python

Lecture 27 Types of Inheritance

Section 3: QUIZ

To learn the basics of python programming language