Python: Python Programming With Python Project & 100 Quizzes
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.51 GB | Duration: 10h 46m
Python | Python Programming Language for Data Science, Machine Learning and Deep Learning from A-Z with Python projects
What you'll learn
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.
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
Its simple syntax and readability makes Python perfect for Flask, Django, data science, and machine learning.
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
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
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
Asking Questions to Sets with Methods
Comparison OperatorsIntersection & Union Methods In Sets
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
sum() Function
max(), min() Functions
round() Function
Lambda Function
Local and Global Variables
Features of Class
Instantiation of Class
Attribute of Instantiation
Write Function in the Class
Inheritance Structure
Requirements
A working computer (Windows, Mac, or Linux)
No prior knowledge of Python for beginners is required
Motivation to learn the the second largest number of job postings relative program language among all others
Desire to learn machine learning python
Curiosity for python programming
Desire to learn python programming, pycharm, python pycharm
Nothing else! It's just you, your computer and your ambition to get started today
Description
Welcome to my " Python: Python Programming with Python project & 100 quizzes " course.Python | Python Programming Language for Data Science, Machine Learning and Deep Learning from A-Z with Python projects 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.Python instructors at OAK Academy specialize in everything from software development to data analysis and are known for their effective, friendly instruction for students of all levels.Whether you work in machine learning 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.Do you want to learn one of the employer's most requested skills? If you think so, you are at the right place. Python, machine learning, Django, python programming, machine learning python, python Bootcamp, coding, data science, data analysis, programming languages.We've designed for you "Python: Python Programming with Python project & 100 quizzes" 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 3 programming simple and easy with exercises, challenges, and lots of real-life examples.This Python course is for everyone!My "Python: Learn Python with Real Python 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 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 understand for 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 likeInstalling Anaconda Distribution for WindowsInstalling Anaconda Distribution for MacOsInstalling Anaconda Distribution for LinuxReviewing The Jupyter NotebookReviewing The Jupyter LabPython IntroductionFirst Step to CodingUsing Quotation Marks in Python CodingHow Should the Coding Form and Style Be (Pep8)Introduction to Basic Data Structures in PythonPerforming Assignment to VariablesPerforming Complex Assignment to VariablesType ConversionArithmetic Operations in PythonExamining the Print Function in DepthEscape Sequence OperationsBoolean Logic ExpressionsOrder Of Operations In Boolean OperatorsPractice with PythonExamining Strings SpecificallyAccessing Length Information (Len Method)Search Method In Strings Startswith(), Endswith()Character Change Method In Strings Replace()Spelling Substitution Methods in StringCharacter Clipping Methods in StringIndexing and Slicing Character StringComplex Indexing and Slicing OperationsString Formatting with Arithmetic OperationsString Formatting With % OperatorString Formatting With String.Format MethodString Formatting With f-string MethodCreation of ListReaching List Elements - Indexing and SlicingAdding & Modifying & Deleting Elements of ListAdding and Deleting by MethodsAdding and Deleting by IndexOther List MethodsCreation of TupleReaching Tuple Elements Indexing And SlicingCreation of DictionaryReaching Dictionary ElementsAdding & Changing & Deleting Elements in DictionaryDictionary MethodsCreation of SetAdding & Removing Elements Methods in SetsDifference Operation Methods In SetsIntersection & Union Methods In SetsAsking Questions to Sets with MethodsComparison OperatorsStructure of "if" StatementsStructure of "if-else" StatementsStructure of "if-elif-else" StatementsStructure of Nested "if-elif-else" StatementsCoordinated Programming with "IF" and "INPUT"Ternary ConditionFor Loop in PythonFor Loop in Python(Reinforcing the Topic)Using Conditional Expressions and For Loop TogetherContinue CommandBreak CommandList ComprehensionWhile Loop in PythonWhile Loops in Python Reinforcing the TopicGetting know to the FunctionsHow to Write FunctionReturn Expression in FunctionsWriting Functions with Multiple ArgumentWriting Docstring in FunctionsUsing Functions and Conditional Expressions TogetherArguments and ParametersHigh Level Operations with Argumentsall(), any() Functionsmap() Functionfilter() Functionzip() Functionenumerate() Functionmax(), min() Functionssum() Functionround() FunctionLambda FunctionLocal and Global VariablesFeatures of ClassInstantiation of ClassAttribute of InstantiationWrite Function in the ClassInheritance StructureWith 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.What is python?Machine learning 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 bootcamp 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 on the premise that there should be only one way (and preferably, one obvious way) to do things, a philosophy that 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 different tools for programmers suited for a variety of tasks.Python vs. R: What is the Difference?Python and R are two of today's most popular programming tools. When deciding between Python and R in data science , you need to think about your specific needs. On one hand, Python is relatively easy for beginners to learn, is applicable across many disciplines, has a strict syntax that will help you become a better coder, and is fast to process large datasets. On the other hand, R has over 10,000 packages for data manipulation, is capable of easily making publication-quality graphics, boasts superior capability for statistical modeling, and is more widely used in academia, healthcare, and finance.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.Why would you want to take this course?Our answer is simple: The quality of teaching.OAK Academy based in London is an online education company. OAK Academy gives education in the field of IT, Software, Design, development in English, Portuguese, Spanish, Turkish, and a lot of different languages on the Udemy platform where it has over 2000 hours of video education lessons. OAK Academy both increases its education series number by publishing new courses, and it makes students aware of all the innovations of already published courses by upgrading.When you enroll, you will feel the OAK Academy`s seasoned developers' expertise. Questions sent by students to our instructors are answered by our instructors within 48 hours at the latest.Video and Audio Production QualityAll our videos are created/produced as high-quality video and audio to provide you the best learning experience.You will be,Seeing clearlyHearing clearlyMoving through the course without distractionsYou'll also get:Lifetime Access to The CourseFast & Friendly Support in the Q&A sectionUdemy Certificate of Completion Ready for DownloadDive in now!We offer full support, answering any questions.See you in the " Python: Python Programming with Python project & 100 quizzes " course.Python | Python Programming Language for Data Science, Machine Learning and Deep Learning from A-Z with Python projects
Overview
Section 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
Section 2: Section 2: First Step to Coding
Lecture 6 Python Introduction
Lecture 7 Project Files
Lecture 8 FAQ regarding Python
Lecture 9 First Step to Coding
Lecture 10 Using Quotation Marks in Python Coding
Lecture 11 How Should the Coding Form and Style Be (Pep8)
Section 3: Basic Operations with Python
Lecture 12 Introduction to Basic Data Structures in Python
Lecture 13 Performing Assignment to Variables
Lecture 14 Performing Complex Assignment to Variables
Lecture 15 Type Conversion
Lecture 16 Arithmetic Operations in Python
Lecture 17 Examining the Print Function in Depth
Lecture 18 Escape Sequence Operations
Section 4: Boolean Data Type in Python Programming Language
Lecture 19 Boolean Logic Expressions
Lecture 20 Order Of Operations In Boolean Operators
Lecture 21 Practice with Python
Section 5: String Data Type in Python Programming Language
Lecture 22 Examining Strings Specifically
Lecture 23 Accessing Length Information (Len Method)
Lecture 24 Search Method In Strings Startswith(), Endswith()
Lecture 25 Character Change Method In Strings Replace()
Lecture 26 Spelling Substitution Methods in String
Lecture 27 Character Clipping Methods in String
Lecture 28 Indexing and Slicing Character String
Lecture 29 Complex Indexing and Slicing Operations
Lecture 30 String Formatting with Arithmetic Operations
Lecture 31 String Formatting With % Operator
Lecture 32 String Formatting With String.Format Method
Lecture 33 String Formatting With f-string Method
Section 6: List Data Structure in Python Programming Language
Lecture 34 Creation of List
Lecture 35 Reaching List Elements - Indexing and Slicing
Lecture 36 Adding & Modifying & Deleting Elements of List
Lecture 37 Adding and Deleting by Methods
Lecture 38 Adding and Deleting by Index
Lecture 39 Other List Methods
Section 7: Tuple Data Structure in Python Programming Language
Lecture 40 Creation of Tuple
Lecture 41 Reaching Tuple Elements Indexing And Slicing
Section 8: Dictionary Data Structure in Python Programming Language
Lecture 42 Creation of Dictionary
Lecture 43 Reaching Dictionary Elements
Lecture 44 Adding & Changing & Deleting Elements in Dictionary
Lecture 45 Dictionary Methods
Section 9: Set Data Structure in Python Programming Language
Lecture 46 Creation of Set
Lecture 47 Adding & Removing Elements Methods in Sets
Lecture 48 Difference Operation Methods In Sets
Lecture 49 Intersection & Union Methods In Sets
Lecture 50 Asking Questions to Sets with Methods
Section 10: Conditional Expressions in Python Programming Language
Lecture 51 Comparison Operators
Lecture 52 Structure of "if" Statements
Lecture 53 Structure of "if-else" Statements
Lecture 54 Structure of "if-elif-else" Statements
Lecture 55 Structure of Nested "if-elif-else" Statements
Lecture 56 Coordinated Programming with "IF" and "INPUT"
Lecture 57 Ternary Condition
Section 11: For Loop in Python Programming Language
Lecture 58 For Loop in Python
Lecture 59 For Loop in Python(Reinforcing the Topic)
Lecture 60 Using Conditional Expressions and For Loop Together
Lecture 61 Continue Command
Lecture 62 Break Command
Lecture 63 List Comprehension
Section 12: While Loop in Python Programming Language
Lecture 64 While Loop in Python
Lecture 65 While Loops in Python Reinforcing the Topic
Section 13: Functions in Python Programming Language
Lecture 66 Getting know to the Functions
Lecture 67 How to Write Function
Lecture 68 Return Expression in Functions
Lecture 69 Writing Functions with Multiple Argument
Lecture 70 Writing Docstring in Functions
Lecture 71 Using Functions and Conditional Expressions Together
Section 14: Arguments And Parameters in Python Programming Language
Lecture 72 Arguments and Parameters
Lecture 73 High Level Operations with Arguments
Section 15: Most Used Functions in Python Programming Language
Lecture 74 all(), any() Functions
Lecture 75 map() Function
Lecture 76 filter() Function
Lecture 77 zip() Function
Lecture 78 enumerate() Function
Lecture 79 max(), min() Functions
Lecture 80 sum() Function
Lecture 81 round() Function
Lecture 82 Lambda Function
Section 16: Class Structure in Python Programming Language
Lecture 83 Local and Global Variables
Lecture 84 Features of Class
Lecture 85 Instantiation of Class
Lecture 86 Attribute of Instantiation
Lecture 87 Write Function in the Class
Lecture 88 Inheritance Structure
Section 17: Extra
Lecture 89 Python: Python Programming with Python project & 100 quizzes
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Cantinho Satkeys
