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Muharrem AYDIN and OAK Academy Team

Welcome to my "Python For Beginners: Learn Python With Hands-On Examples" course.

My name is Muharrem Aydin and I am the creator of the three best-selling courses on Udemy.

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Welcome to my "Python For Beginners: Learn Python With Hands-On Examples" course.

My name is Muharrem Aydin and I am the creator of the three best-selling courses on Udemy.

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.

This time I’ve designed for you "Python For Beginners: Learn Python With Hands-On Examples” straight-forward course for the Python programming language. In the course you will have a down-to-earth way explanations with 12 projects. With my course you will learn Python Programming step-by-step. I made Python 3 programming simple and easy with exercises, challenges and lots of real life examples.

Learn to code today.

My "Python For Beginners: Learn Python With Hands-On Examples. 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 general-purpose, high-level and multi-purpose programming language. The best thing about the Python is, 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 kind of App development.

No prior knowledge is needed.

The second best is for Python is, it doesn't need any prior knowledge to learn it and the Python code is easy to understand for the 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 fundamentals of Python development like

  • Variables, Data types, Numbers, Strings

  • Conditionals and Loops

  • Functions and modules

  • Lists, Dictionaries and Tuples

  • File operations

  • Object Oriented Programming

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 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 great change in your resume.

Here is the list of what you’ll learn by the end of course,

  • Python Setup

  • Python IDLE

  • Programming

  • Variables and Data Types

  • Numbers

  • Strings

  • Conditionals

  • Functions and Modules

  • Modules and Packages

  • Lists

  • Tuples

  • Dictionaries

  • Sets

  • Files

  • Object Oriented Programming

You'll also get:

Lifetime Access to The Course

Fast & Friendly Support in the Q&A section

Udemy Certificate of Completion Ready for Download

Enroll now,

See you in the course

Enroll now

What's inside

Learning objectives

  • Learn to use python professionally
  • Learn to use python 3
  • Learn to use object oriented programming
  • Build 12 easy-to-follow python 3 projects
  • Start learning from scratch and learn about every python 3 topic with hands-on examples
  • Down-to-earth way explanations
  • No prior python knowledge is required!
  • You will be able to work with python functions, namespaces and modules
  • You will be able to apply the python 3 knowledge you get from this course in coding exercises, real-life scenarios

Syllabus

In this section, you are going to learn concept of the python for beginners course.

Online Python Course: Python for Beginners, Python for Beginners Course, Python For Beginners

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Python 3 Installation on Windows

  1. Step 1: Select Version of Python to Install. ...

  2. Step 2: Download Python Executable Installer. ...

  3. Step 3: Run Executable Installer. ...

  4. Step 4: Verify Python Was Installed On Windows. ...

  5. Step 5: Verify Pip Was Installed. ...

  6. Step 6: Add Python Path to Environment Variables (Optional)

In this section, you are going to learn how to install python.

Python 3 Installation on Windows

  1. Step 1: Select Version of Python to Install. ...

  2. Step 2: Download Python Executable Installer. ...

  3. Step 3: Run Executable Installer. ...

  4. Step 4: Verify Python Was Installed On Windows. ...

  5. Step 5: Verify Pip Was Installed. ...

  6. Step 6: Add Python Path to Environment Variables (Optional)

Installing Python 3 on Mac OS X

Installing Python 3 on Linux

Getting Started With Python IDLE

Installing PyCharm

What is new in Python 3.10.2 final?
In this section, you are going to learn about python programming.
Start Programming

what is python programming?

python hello world

python debugging

creating python project, first program in python, python debugging

Variables and Data Types of python

A Python variable is a reserved memory location to store values. In other words, a variable in a python program gives data to the computer for processing. Every value in Python has a datatype. Different data types in Python are Numbers, List, Tuple, Strings, Dictionary, etc.

In programming, data type is an important concept. Python Data Types

Quiz
In this section, you are going to learn Python Numbers.

Python Arithmetic Operators

Assignment Operators in Python.

Comparison Operators in Python

Logical Operators in Python

String Special Operators in Python

The order Python operators are executed in is governed by the operator precedence, and follow the same rules. Operators with higher precedence are executed before those with lower precedence, but operators have matching precedence when they are in the same group.

Making calculator in python

In Python, Strings are arrays of bytes representing Unicode characters.

In Python, Strings are arrays of bytes representing Unicode characters. However, Python does not have a character data type, a single character is simply a string with a length of 1. Square brackets can be used to access elements of the string.

Python has a set of built-in methods that you can use on strings.

Making Company Email Generator with python

What are Conditional Statements in Python?
Conditionals

Conditional Statement in Python perform different computations or actions depending on whether a specific Boolean constraint evaluates to true or false.

Conditional statements are handled by IF statements in Python.

Exam Letter Grading with Python

In this section, you are going see loops in python

Python - Loops

Introduction to loops in python

Flowcharts Describing Loops

Python Loops. Python has two primitive loop commands: while loops; for loops. The while Loop.

Python Loops. Python has two primitive loop commands: while loops; for loops. The for Loop.

The break statement in Python terminates the current loop and resumes execution at the next statement, just like the traditional break found in C.

The continue statement in Python returns the control to the beginning of the while loop. The continue statement rejects all the remaining statements in the current iteration of the loop and moves the control back to the top of the loop.

The pass statement in Python is used when a statement is required syntactically but you do not want any command or code to execute.

Fibonacci Numbers with Python

A module is simply a Python file with a . py extension that can be imported inside another Python program.

Python program. The name of the Python file becomes the module name. The module contains

1) definitions and implementation of classes

2) variables and

3) functions that can be used inside another program.

A function call is an expression that passes control and arguments (if any) to a function and has the form: expression (expression-listopt) where expression is a function name or evaluates to a function address and expression-list is a list of expressions (separated by commas).

The four steps to defining a function in Python are the following:

  1. Use the keyword def to declare the function and follow this up with the function name.

  2. Add parameters to the function: they should be within the parentheses of the function. End your line with a colon.

  3. Add statements that the functions should execute.

  4. End your function with a return statement if the function should output something. Without the return statement, your function will return an object None.

The terms parameter and argument can be used for the same thing: information that are passed into a function. From a function's perspective: A parameter is the variable listed inside the parentheses in the function definition. An argument is the value that are sent to the function when it is called.

Syntax. Simply put, a lambda function is just like any normal python function, except that it has no name when defining it, and it is contained in one line of code.

Python Global, Local and Nonlocal variables

A recursive function is a function defined in terms of itself via self-referential expressions. This means that the function will continue to call itself and repeat its behavior until some condition is met to return a result.

A module is a file containing Python definitions and statements. A module can define functions, classes, and variables. A module can also include runnable code. Grouping related code into a module makes the code easier to understand and use. It also makes the code logically organized.

Sphere Volume Calculator in Python

Find, install and publish Python packages with the Python Package Index

Find, install and publish Python packages with the Python Package Index

Python Keywords: An Introduction

In this section, you are going to learn lists in python.
Intro to Lists

Iterate over a list in Python

Append()

Insert()

Remove()

Pop()

Python has a set of built-in methods that you can use on lists/arrays.

List comprehension offers a shorter syntax when you want to create a new list based on the values of an existing list.

Palindrome Checker with python

Tuples are used to store multiple items in a single variable.

Tuple is one of 4 built-in data types in Python used to store collections of data, the other 3 are List, Set, and Dictionary, all with different qualities and usage.

A tuple is a collection which is ordered and unchangeable.

Python Loop Through a Tuple

There are three standard sequence operations ( + , * , [] ) that can be performed with tuple s as well as list s and string s.

Python has two built-in methods that you can use on tuples. Method, Description. count(), Returns the number of times a specified value occurs in a tuple.

Day of Week Birthdays with Python

Dictionaries are used to store data values in key:value pairs. A dictionary is a collection which is ordered*, changeable and does not allow duplicates.

Dictionaries are used to store data values in key:value pairs. A dictionary is a collection which is ordered*, changeable and does not allow duplicates.

filter() is another built-in function that you can use to iterate through a dictionary in Python and filter out some of its items.

Learn more about dictionaries in our Python Dictionaries Tutorial.

Python has a set of built-in methods that you can use on dictionaries. Method, Description. clear(), Removes all the elements from the dictionary.

Dictionary comprehensions allow for generating keys of tuples by implemented nested loops. Each pair of items in the lists is a key in the dictionary. The value is the product of the items in keys.

Letter Counter with Python

Sets are used to store multiple items in a single variable.

Sets are used to store multiple items in a single variable.

In Python, Set is an unordered collection of data type that is iterable, mutable and has no duplicate elements.

Many of the operations that can be used for Python's other composite data types don't make sense for sets.

Python has a set of built-in methods that you can use on sets. Method, Description.

Word Statistics with Python

Opening Files in Python

A directory or folder is a collection of files and subdirectories.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops core skills and knowledge for programming in Python
Develops a solid foundation for beginners in Python
Taught by instructors known for their expertise in Python
Provides hands-on experience through coding examples and exercises
Covers a wide range of Python topics, from variables to object-oriented programming

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Reviews summary

Learn python hands-on

Learners say this hands-on course is a great option for beginners who want to learn Python at their own pace.
Course is hands-on and fast-paced.
"Going through a bit too fast"
"This is an intro to Python course with hands-on exercises after each video"
"I would appreciate it if you could slow down the pace a bit"

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Python For Beginners: Learn Python With Hands-On Examples with these activities:
Review the basics of Python
Refresh your memory on the fundamentals of Python programming before starting the course.
Browse courses on Python Basics
Show steps
  • Review your notes or online resources on Python basics.
  • Complete a few practice problems to test your understanding.
Review and organize your course materials
Stay organized and make sure you have a solid understanding of the course material.
Show steps
  • Review your notes, assignments, and any other course materials.
  • Identify any areas where you need further clarification or practice.
  • Organize your materials in a way that makes it easy to find what you need.
Follow a Python tutorial on a specific topic
Expand your knowledge of Python by exploring specific topics in more depth.
Browse courses on Python Programming
Show steps
  • Choose a Python tutorial that covers a topic you're interested in or need to improve in.
  • Follow the tutorial step-by-step, completing all exercises and examples.
  • Take notes on the key concepts and techniques you learn.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Solve Python practice problems
Improve your Python coding skills and reinforce what you've learned in the course.
Show steps
  • Choose a set of practice problems that cover the concepts you want to improve in.
  • Set a timer and try to solve each problem within the time limit.
  • Check your solutions against the provided answers.
  • Repeat steps 1-3 until you can solve most of the problems in the set.
Help other students with Python
Reinforce your understanding of Python by explaining it to others.
Show steps
  • Join a Python community or online forum.
  • Offer to answer questions and provide support to other learners.
  • Review your own knowledge of Python to prepare for answering questions.
Create a Python project
Apply your Python skills to a real-world project and build your portfolio.
Show steps
  • Identify a problem or opportunity that you can solve using Python.
  • Design and implement a Python solution to the problem.
  • Test and debug your solution.
  • Document your project and share it with others.
Create a Python resource repository
Organize and share your favorite Python resources with others.
Show steps
  • Gather a collection of useful Python resources, such as tutorials, articles, and code snippets.
  • Create a website or online repository to host the resources.
  • Share the repository with other Python learners and enthusiasts.

Career center

Learners who complete Python For Beginners: Learn Python With Hands-On Examples will develop knowledge and skills that may be useful to these careers:
Machine Learning Engineer
As a Machine Learning Engineer, you will use your knowledge of Python and machine learning to develop and deploy machine learning models. The 'Python for Beginners' course will teach you the basics of Python and machine learning, while the hands-on projects will help you to apply your skills to real-world problems. By taking this course, you will be well on your way to a successful career in machine learning.
Data Scientist
As a Data Scientist, you will be responsible for collecting, analyzing, and interpreting data to help businesses make better decisions. The 'Python for Beginners' course will provide you with the skills you need to work with data, including how to clean and prepare data, perform data analysis, and visualize data. By taking this course, you will be well on your way to a successful career in data science.
Software Engineer
As a Software Engineer, you will be responsible for designing, developing, and maintaining software applications. The 'Python for Beginners' course will provide you with the knowledge and skills you need to build software applications using Python. You will also learn about the core principles of software engineering, such as software design, software testing, and software maintenance.
Web Developer
As a Web Developer, you will be responsible for designing, developing, and maintaining websites. The 'Python for Beginners' course will provide you with the knowledge and skills you need to build websites using Python. You will also learn about the core principles of web development, such as HTML, CSS, and JavaScript.
Data Analyst
As a Data Analyst, you will be responsible for collecting, analyzing, and interpreting data to help businesses make better decisions. The 'Python for Beginners' course will provide you with the skills you need to work with data, including how to clean and prepare data, perform data analysis, and visualize data. Ultimately, the course will help you to develop the in-demand skills you'll need to succeed in this growing field.
Business Analyst
Business Analysts strive to understand the needs of a business and the challenges it faces. The 'Python for Beginners' course will provide you with the skills to leverage available tools, including Python, to streamline your analysis in a business setting.
Computer Systems Analyst
As a Computer Systems Analyst, you will get to analyze and design a variety of computer systems. The 'Python for Beginners' course will provide you with a solid understanding of Python, which is a popular programming language for developing software applications. You will also be able to learn more about the core principles of computer science, such as data structures, algorithms, and software design.
Project Manager
Project Managers are responsible for planning, executing, and closing projects. The 'Python for Beginners' course will provide you with the skills to write scripts using Python to automate project-related tasks, ultimately increasing your efficiency.
Quantitative Analyst
Quantitative Analysts use Python for a variety of tasks, including data analysis, financial modeling, and risk assessment.
Database Administrator
Database Administrators are responsible for the maintenance and security of databases. The 'Python for Beginners' course will provide you with the skills to write scripts using Python to automate database-related tasks.
Data Engineer
Data Engineers use Python to build and maintain data pipelines, and to develop data science applications.
Financial Analyst
Financial Analysts use Python for a variety of tasks, including data analysis, financial modeling, and risk assessment.
Information Security Analyst
Cybersecurity is a rapidly growing field, and Python is a top choice for information security professionals.
Computer Programmer
Computer Programmers use Python to develop software applications.
Software Architect
Software Architects use Python to design and develop software applications.

Reading list

We've selected 14 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Python For Beginners: Learn Python With Hands-On Examples.
Deep dive into the Python programming language. It good choice for those who want to learn more about the inner workings of Python.
Comprehensive reference guide to the Python programming language. It good resource for those who want to learn more about the Python language and its features.
Teaches you how to use Python to automate tasks on your computer. It good choice for those who want to learn how to use Python for practical purposes.
Fast-paced, practical introduction to Python programming. It good choice for those who want to learn Python quickly and efficiently.
Guide to data science in Python. It good choice for those who want to learn how to use Python for data science.
Guide to using Python for web development with Django. It good choice for those who want to learn how to use Python for building web applications.
Guide to using Python for finance. It good choice for those who want to learn how to use Python for financial analysis and modeling.
Is an introduction to object-oriented programming in Python. It good choice for those who want to learn how to use object-oriented programming in Python.
Reference guide to the Python standard library. It good resource for those who want to learn more about the Python standard library and its modules.
Provides a comprehensive introduction to Python programming for beginners. It covers all the basics, from setting up your Python environment to writing your first programs. It good resource for those who have no prior experience with Python.

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