Python - Python Programming Language Fundamentals Course

Python | Python Programming Language Fundamentals Course, available at $54.99, has an average rating of 4.81, with 89 lectures, 14 quizzes, based on 8 reviews, and has 137 subscribers.

You will learn about Installing Anaconda Distribution for Windows Installing Anaconda Distribution for MacOs Installing Anaconda Distribution for Linux Reviewing The Jupyter Notebook Reviewing The Jupyter Lab Python Introduction First Step to Coding Using Quotation Marks in Python Coding How Should the Coding Form and Style Be (Pep8) Introduction to Basic Data Structures in Python Performing Assignment to Variables Performing Complex Assignment to Variables Type Conversion Arithmetic Operations in Python Examining the Print Function in Depth Escape Sequence Operations Boolean Logic Expressions Order Of Operations In Boolean Operators Practice with Python Examining Strings Specifically Accessing Length Information (Len Method) Search Method In Strings Startswith(), Endswith() Character Change Method In Strings Replace() Spelling Substitution Methods in String Character Clipping Methods in String Indexing and Slicing Character String String Formatting with Arithmetic Operations Complex Indexing and Slicing Operations String Formatting With % Operator String Formatting With String Format Method String Formatting With f-string Method Creation of List Reaching List Elements – Indexing and Slicing Adding & Modifying & Deleting Elements of List Adding and Deleting by Methods Adding and Deleting by Index Other List Methods Creation of Tuple Reaching Tuple Elements Indexing And Slicing Creation of Dictionary Reaching Dictionary Elements Adding & Changing & Deleting Elements in Dictionary Dictionary Methods Creation of Set Adding & Removing Elements Methods in Sets Difference Operation Methods In Sets Intersection & Union Methods In Sets Asking Questions to Sets with Methods Comparison Operators Structure of “if” Statements Structure of “if-else” Statements Structure of “if-elif-else” Statements Structure of Nested “if-elif-else” Statements Coordinated Programming with “IF” and “INPUT” Ternary Condition For Loop in Python For Loop in Python(Reinforcing the Topic) Using Conditional Expressions and For Loop Together Continue Command Break Command List Comprehension While Loop in Python While Loops in Python Reinforcing the Topic Getting know to the Functions How to Write Function Return Expression in Functions Writing Functions with Multiple Argument Writing Docstring in Functions Using Functions and Conditional Expressions Together Arguments and Parameters High Level Operations with Arguments all(), any() Functions map() Function filter() Function zip() Function enumerate() Function max(), min() Functions sum() Function round() Function Lambda Function Local and Global Variables Features of Class Instantiation of Class Attribute of Instantiation Write Function in the Class Inheritance Structure This course is ideal for individuals who are Anyone who wants to start learning Python bootcamp or Anyone who needs a complete guide on how to start and continue their career with Python in data analysis or Anyone who plans a career as Python developer or And also, who want to learn how to develop ptyhon coding or People who want to learn python or People who want to learn python programming or People who want to learn python programming, python examples It is particularly useful for Anyone who wants to start learning Python bootcamp or Anyone who needs a complete guide on how to start and continue their career with Python in data analysis or Anyone who plans a career as Python developer or And also, who want to learn how to develop ptyhon coding or People who want to learn python or People who want to learn python programming or People who want to learn python programming, python examples.

Enroll now: Python | Python Programming Language Fundamentals Course

Summary

Title: Python | Python Programming Language Fundamentals Course

Price: $54.99

Average Rating: 4.81

Number of Lectures: 89

Number of Quizzes: 14

Number of Published Lectures: 89

Number of Published Quizzes: 14

Number of Curriculum Items: 103

Number of Published Curriculum Objects: 103

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Installing Anaconda Distribution for Windows

Installing Anaconda Distribution for MacOs

Installing Anaconda Distribution for Linux

Reviewing The Jupyter Notebook

Reviewing The Jupyter Lab

Python Introduction

First Step to Coding

Using Quotation Marks in Python Coding

How Should the Coding Form and Style Be (Pep8)

Introduction to Basic Data Structures in Python

Performing Assignment to Variables

Performing Complex Assignment to Variables

Type Conversion

Arithmetic Operations in Python

Examining the Print Function in Depth

Escape Sequence Operations

Boolean Logic Expressions

Order Of Operations In Boolean Operators

Practice with Python

Examining Strings Specifically

Accessing Length Information (Len Method)

Search Method In Strings Startswith(), Endswith()

Character Change Method In Strings Replace()

Spelling Substitution Methods in String

Character Clipping Methods in String

Indexing and Slicing Character String

String Formatting with Arithmetic Operations

Complex Indexing and Slicing Operations

String Formatting With % Operator

String Formatting With String Format Method

String Formatting With f-string

Method Creation of List

Reaching List Elements – Indexing and Slicing

Adding & Modifying & Deleting Elements of List

Adding and Deleting by Methods

Adding and Deleting by Index

Other List Methods

Creation of Tuple

Reaching Tuple Elements Indexing And Slicing

Creation of Dictionary

Reaching Dictionary Elements

Adding & Changing & Deleting Elements in Dictionary

Dictionary Methods

Creation of Set

Adding & Removing Elements Methods in Sets

Difference Operation Methods In Sets

Intersection & Union Methods In Sets

Asking Questions to Sets with Methods

Comparison Operators

Structure of “if” Statements

Structure of “if-else” Statements

Structure of “if-elif-else” Statements

Structure of Nested “if-elif-else” Statements

Coordinated Programming with “IF” and “INPUT”

Ternary Condition

For Loop in Python

For Loop in Python(Reinforcing the Topic)

Using Conditional Expressions and For Loop Together

Continue Command

Break Command

List Comprehension

While Loop in Python

While Loops in Python Reinforcing the Topic

Getting know to the Functions

How to Write Function

Return Expression in Functions

Writing Functions with Multiple Argument

Writing Docstring in Functions

Using Functions and Conditional Expressions Together

Arguments and Parameters

High Level Operations with Arguments

all(), any() Functions

map() Function

filter() Function

zip() Function

enumerate() Function

max(), min() Functions

sum() Function

round() Function

Lambda Function

Local and Global Variables

Features of Class

Instantiation of Class

Attribute of Instantiation

Write Function in the Class

Inheritance Structure

Who Should Attend

Anyone who wants to start learning Python bootcamp

Anyone who needs a complete guide on how to start and continue their career with Python in data analysis

Anyone who plans a career as Python developer

And also, who want to learn how to develop ptyhon coding

People who want to learn python

People who want to learn python programming

People who want to learn python programming, python examples

Target Audiences

Anyone who wants to start learning Python bootcamp

Anyone who needs a complete guide on how to start and continue their career with Python in data analysis

Anyone who plans a career as Python developer

And also, who want to learn how to develop ptyhon coding

People who want to learn python

People who want to learn python programming

People who want to learn python programming, python examples

Welcome to my “ Python | Python Programming Language Fundamentals Course ” course.

Python For Beginners. Learn Python Programming Language Fundamentals from scratch with hands-on Python Projects

Do you want to become a Python Programmer and learn one of employer’s most request skill? If you think so, you are at the right place.

We’ve designed for you “Python | Python Programming Language Fundamentals Course” a straightforward course for the Python programming language.

In the course, you will have down-to-earth way explanations of hands-on projects. With my course, you will learn Python Programming step-by-step. I made Python programming simple and easy with exercises, challenges, and lots of real-life examples.

If you don’t have any previous experience, not a problem!  This course is expertly designed to teach everyone from complete beginners, right through to professionals (as a refresher).   

Python is a general-purpose, object-oriented, high-level programming language. Whether you work in artificial intelligence or finance or are pursuing a career in web development or data science, Python is one of the most important skills you can learn.

Python’s simple syntax is especially suited for desktop, web, and business applications. Python’s design philosophy emphasizes readability and usability. Python was developed upon the premise that there should be only one way (and preferably one obvious way) to do things, a philosophy that has resulted in a strict level of code standardization. The core programming language is quite small and the standard library is also large. In fact, Python’s large library is one of its greatest benefits, providing a variety of different tools for programmers suited for many different tasks. Python, machine learning, Django, python programming, ethical hacking, machine learning python, python Bootcamp, data science, data analysis

This Python course is for everyone!

My “Python | Python Programming Language Fundamentals Course” is for everyone! If you don’t have any previous experience, not a problem! This course is expertly designed to teach everyone from complete beginners, right through to professionals ( as a refresher).

Why Python?

Python is a general-purpose, high-level, and multi-purpose programming language. The best thing about Python is, that it supports a lot of today’s technology including vast libraries for Twitter, data mining, scientific calculations, designing, back-end server for websites, engineering simulations, artificial learning, augmented reality and what not! Also, it supports all kinds of App development.

No prior knowledge is needed!

Python doesn’t need any prior knowledge to learn it and the Ptyhon code is easy to understandfor beginners.

What you will learn?

In this course, we will start from the very beginning and go all the way to programming with hands-on examples . We will first learn how to set up a lab and install needed software on your machine. Then during the course, you will learn the fundamentals of Python development like

Python Introduction

First Step to Coding

Using Quotation Marks in Python Coding

Introduction to Basic Data Structures in Python

Performing Assignment to Variables

Performing Complex Assignment to Variables

Type Conversion

Arithmetic Operations in Python

Examining the Print Function in Depth

Escape Sequence Operations

Boolean Logic Expressions

Examining Strings Specifically

Methods in Strings-1

Methods in Strings-2

Methods in Strings-3

Indexing and Slicing Character String

Complex Indexing and Slicing Operations

String Formatting with Arithmetic Operations

String Formatting With % Operator

String Formatting With String.Format Method

String Formatting With f-string Method

Data Structures-Creation of List

Reaching List Elements – Indexing and Slicing

Adding & Modifying & Deleting Elements of List

Adding and Deleting Elements to List with Methods

Adding and Deleting by Index in List

Other List Methods

Creation of Tuple

Reaching Tuple Elements Indexing And Slicing

Data Structures-Creation of Dictionary

Reaching Dictionary Elements

Adding & Changing & Deleting Elements in Dictionary

Dictionary Methods

Data Structures-Creation of Set

Adding & Removing Elements Methods in Sets

Difference Operation Methods In Sets

Intersection & Union Methods In Sets

Asking Questions to Sets with Methods

Input Functions

Structure of “if” Statements

Structure of “if-else” Statements

Structure of “if-elif-else” Statements

Structure of Nested “if-elif-else” Statements

Coordinated Programming with “IF” and “INPUT”

Ternary Condition

For Loop in Python

Using Conditional Expressions and For Loop Together

List Comprehension

While Loop in Python

Break & Continue Command

Meeting with Functions

Return Expression in Functions

Write Docstring in Function

Using Functions and Conditional Expressions Together

Arguments and Parameters

Built-in Functions – 1

Built-in Functions – 2

With my up-to-date course, you will have a chance to keep yourself up-to-date and equip yourself with a range of Python programming skills. I am also happy to tell you that I will be constantly available to support your learning and answer questions.

Do not forget ! Python for beginners has the second largest number of job postings relative to all other languages. So it will earn you a lot of money and will bring a great change in your resume.

Why would you want to take this course?

Our answer is simple: The quality of teaching.

What is Python?

Python is an interpreted, interactive, object-oriented programming language. It incorporates modules, exceptions, dynamic typing, very high level dynamic data types, and classes. It supports multiple programming paradigms beyond object-oriented programming, such as procedural and functional programming. Python combines remarkable power with very clear syntax. It has interfaces to many system calls and libraries, as well as to various window systems, and is extensible in C or C++. It is also usable as an extension language for applications that need a programmable interface. Finally, Python is portable: it runs on many Unix variants including Linux and macOS, and on Windows.

What is Python good for?

Python is a high-level general-purpose programming language that can be applied to many different classes of problems.

The language comes with a large standard library that covers areas such as string processing (regular expressions, Unicode, calculating differences between files), internet protocols (HTTP, FTP, SMTP, XML-RPC, POP, IMAP), software engineering (unit testing, logging, profiling, parsing Python code), and operating system interfaces (system calls, filesystems, TCP/IP sockets). Look at the table of contents for The Python Standard Library to get an idea of what’s available. A wide variety of third-party extensions are also available. Consult the Python Package Index to find packages of interest to you.

What does it mean that Python is object-oriented?
Python is a multi-paradigm language, which means that it supports many data analysis programming approaches. Along with procedural and functional programming styles, Python also supports the object-oriented style of programming. In object-oriented programming, a developer completes a programming project by creating Python objects in code that represent objects in the actual world. These objects can contain both the data and functionality of the real-world object. To generate an object in Python you need a class. You can think of a class as a template. You create the template once, and then use the template to create as many objects as you need. Python classes have attributes to represent data and methods that add functionality. A class representing a car may have attributes like color, speed, and seats and methods like driving, steering, and stopping.

What are the limitations of Python?
Python is a widely used, general-purpose programming language, but it has some limitations. Because Python in machine learning is an interpreted, dynamically typed language, it is slow compared to a compiled, statically typed language like C. Therefore, Python is useful when speed is not that important. Python’s dynamic type system also makes it use more memory than some other programming languages, so it is not suited to memory-intensive applications. The Python virtual engine that runs Python code runs single-threaded, making concurrency another limitation of the programming language. Though Python is popular for some types of game development, its higher memory and CPU usage limits its usage for high-quality 3D game development. That being said, computer hardware is getting better and better, and the speed and memory limitations of Python are getting less and less relevant.

How is Python used?
Python is a general programming language used widely across many industries and platforms. One common use of Python is scripting, which means automating tasks in the background. Many of the scripts that ship with Linux operating systems are Python scripts. Python is also a popular language for machine learning, data analytics, data visualization, and data science because its simple syntax makes it easy to quickly build real applications. You can use Python to create desktop applications. Many developers use it to write Linux desktop applications, and it is also an excellent choice for web and game development. Python web frameworks like Flask and Django are a popular choice for developing web applications. Recently, Python is also being used as a language for mobile development via the Kivy third-party library.

What jobs use Python?
Python is a popular language that is used across many industries and in many programming disciplines. DevOps engineers use Python to script website and server deployments. Web developers use Python to build web applications, usually with one of Python’s popular web frameworks like Flask or Django. Data scientists and data analysts use Python to build machine learning models, generate data visualizations, and analyze big data. Financial advisors and quants (quantitative analysts) use Python to predict the market and manage money. Data journalists use Python to sort through information and create stories. Machine learning engineers use Python to develop neural networks and artificial intelligent systems.

How do I learn Python on my own?
Python has a simple syntax that makes it an excellent programming language for a beginner to learn. To learn Python on your own, you first must become familiar with the syntax. But you only need to know a little bit about Python syntax to get started writing real code; you will pick up the rest as you go. Depending on the purpose of using it, you can then find a good Python tutorial, book, or course that will teach you the programming language by building a complete application that fits your goals. If you want to develop games, then learn Python game development. If you’re going to build web applications, you can find many courses that can teach you that, too. Udemy’s online courses are a great place to start if you want to learn Python on your own.

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We offer full support, answering any questions.

See you in the “ Python | Python Programming Language Fundamentals Course” course.

Course Curriculum

Chapter 1: Installations

Lecture 1: Installing Anaconda Distribution for Windows

Lecture 2: Installing Anaconda Distribution for MacOs

Lecture 3: Installing Anaconda Distribution for Linux

Lecture 4: Reviewing The Jupyter Notebook

Lecture 5: Reviewing The Jupyter Lab

Lecture 6: Basics of Jupyter Notebook for Mac

Chapter 2: First Step to Coding

Lecture 1: Python Introduction

Lecture 2: Python Project Files

Lecture 3: First Step to Coding

Lecture 4: Using Quotation Marks in Python Coding

Lecture 5: How Should the Coding Form and Style Be (Pep8)

Chapter 3: Basic Operations with Python

Lecture 1: Introduction to Basic Data Structures in Python

Lecture 2: Performing Assignment to Variables

Lecture 3: Performing Complex Assignment to Variables

Lecture 4: Type Conversion

Lecture 5: Arithmetic Operations in Python

Lecture 6: Examining the Print Function in Depth

Lecture 7: Escape Sequence Operations

Chapter 4: Boolean Data Type in Python Programming Language

Lecture 1: Boolean Logic Expressions

Lecture 2: Order Of Operations In Boolean Operators

Lecture 3: Practice with Python

Chapter 5: String Data Type in Python Programming Language

Lecture 1: Examining Strings Specifically

Lecture 2: Accessing Length Information (Len Method)

Lecture 3: Search Method In Strings Startswith(), Endswith()

Lecture 4: Character Change Method In Strings Replace()

Lecture 5: Spelling Substitution Methods in String

Lecture 6: Character Clipping Methods in String

Lecture 7: Indexing and Slicing Character String

Lecture 8: Complex Indexing and Slicing Operations

Lecture 9: String Formatting with Arithmetic Operations

Lecture 10: String Formatting With % Operator

Lecture 11: String Formatting With String.Format Method

Lecture 12: String Formatting With f-string Method

Chapter 6: List Data Structure in Python Programming Language

Lecture 1: Creation of List

Lecture 2: Reaching List Elements – Indexing and Slicing

Lecture 3: Adding & Modifying & Deleting Elements of List

Lecture 4: Adding and Deleting by Methods

Lecture 5: Adding and Deleting by Index

Lecture 6: Other List Methods

Chapter 7: Tuple Data Structure in Python Programming Language

Lecture 1: Creation of Tuple

Lecture 2: Reaching Tuple Elements Indexing And Slicing

Chapter 8: Dictionary Data Structure in Python Programming Language

Lecture 1: Creation of Dictionary

Lecture 2: Reaching Dictionary Elements

Lecture 3: Adding & Changing & Deleting Elements in Dictionary

Lecture 4: Dictionary Methods

Chapter 9: Set Data Structure in Python Programming Language

Lecture 1: Creation of Set

Lecture 2: Adding & Removing Elements Methods in Sets

Lecture 3: Difference Operation Methods In Sets

Lecture 4: Intersection & Union Methods In Sets

Lecture 5: Asking Questions to Sets with Methods

Chapter 10: Conditional Expressions in Python Programming Language

Lecture 1: Comparison Operators

Lecture 2: Structure of “if” Statements

Lecture 3: Structure of “if-else” Statements

Lecture 4: Structure of “if-elif-else” Statements

Lecture 5: Structure of Nested “if-elif-else” Statements

Lecture 6: Coordinated Programming with “IF” and “INPUT”

Lecture 7: Ternary Condition

Chapter 11: For Loop in Python Programming Language

Lecture 1: For Loop in Python

Lecture 2: For Loop in Python(Reinforcing the Topic)

Lecture 3: Using Conditional Expressions and For Loop Together

Lecture 4: Continue Command

Lecture 5: Break Command

Lecture 6: List Comprehension

Chapter 12: While Loop in Python Programming Language

Lecture 1: While Loop in Python

Lecture 2: While Loops in Python Reinforcing the Topic

Chapter 13: Functions in Python Programming Language

Lecture 1: Getting know to the Functions

Lecture 2: How to Write Function

Lecture 3: Return Expression in Functions

Lecture 4: Writing Functions with Multiple Argument

Lecture 5: Writing Docstring in Functions

Lecture 6: Using Functions and Conditional Expressions Together

Chapter 14: Arguments And Parameters in Python Programming Language

Lecture 1: Arguments and Parameters

Lecture 2: High Level Operations with Arguments

Instructors

Muharrem AYDIN
Computer Engineer, Ethical Hacking, Cyber Security Expert

OAK Academy Team
instructor

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5 stars: 7 votes

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