Python: Python Programming with Python project & 100 quizzes

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Python: Python Programming with Python project & 100 quizzes (Size: 2.5 GB)
  0 237.5 KB
  1 - Installing Anaconda Distribution for Windows.mp4 130.3 MB
  1 218.5 KB
  2 - Installing Anaconda Distribution for MacOs.mp4 61.1 MB
  2 76.7 KB
  3 388.6 KB
  3 - Installing Anaconda Distribution for Linux.mp4 127.3 MB
  4 - Reviewing The Jupyter Notebook.mp4 72.9 MB
  4 189.5 KB
  5 80.8 KB
  6 73.2 KB
  7 88 KB
  8 390.5 KB
  9 31.5 KB
  10 - Using Quotation Marks in Python Coding.mp4 36.4 MB
  10 381 KB
  11 426.4 KB
  11 - How Should the Coding Form and Style Be Pep8.mp4 39 MB
  12 484.2 KB
  12 - Introduction to Basic Data Structures in Python.mp4 26.1 MB
  13 - Performing Assignment to Variables.mp4 37.9 MB
  13 382.3 KB
  14 - Performing Complex Assignment to Variables.mp4 15 MB
  14 9.7 KB
  15 - Type Conversion.mp4 32.7 MB
  15 70.1 KB
  16 - Arithmetic Operations in Python.mp4 30.3 MB
  16 142.3 KB
  17 379.3 KB
  17 - Examining the Print Function in Depth.mp4 29.2 MB
  18 384.8 KB
  18 - Escape Sequence Operations.mp4 30.2 MB
  19 387.7 KB
  19 - Boolean Logic Expressions.mp4 19.9 MB
  20 - Order Of Operations In Boolean Operators.mp4 4 MB
  20 135.9 KB
  21 - Practice with Python.mp4 36.6 MB
  21 499.7 KB
  22 - Examining Strings Specifically.mp4 33.5 MB
  22 504.6 KB
  23 347.4 KB
  23 - Accessing Length Information Len Method.mp4 9 MB
  24 - Search Method In Strings Startswith Endswith.mp4 42.1 MB
  24 362.4 KB
  25 - Character Change Method In Strings Replace.mp4 17.8 MB
  25 55.1 KB
  26 - Spelling Substitution Methods in String.mp4 17.1 MB
  26 29 KB
  27 79.4 KB
  27 - Character Clipping Methods in String.mp4 24.3 MB
  28 154.7 KB
  28 - Indexing and Slicing Character String.mp4 27.1 MB
  29 239.1 KB
  29 - Complex Indexing and Slicing Operations.mp4 32.9 MB
  30 258.4 KB
  30 - String Formatting with Arithmetic Operations.mp4 21 MB
  31 - String Formatting With Operator.mp4 36.6 MB
  31 173.4 KB
  32 407.9 KB
  32 - String Formatting With StringFormat Method.mp4 32.3 MB
  33 - String Formatting With fstring Method.mp4 20.6 MB
  33 474 KB
  34 - Creation of List.mp4 52.4 MB
  34 186.7 KB
  35 - Reaching List Elements Indexing and Slicing.mp4 36 MB
  35 339.7 KB
  36 - Adding Modifying Deleting Elements of List.mp4 33.9 MB
  36 298.4 KB
  37 - Adding and Deleting by Methods.mp4 21.5 MB
  37 400.3 KB
  38 216.3 KB
  38 - Adding and Deleting by Index.mp4 20.4 MB
  39 453 KB
  39 - Other List Methods.mp4 24.8 MB
  40 - Creation of Tuple.mp4 42.5 MB
  40 402 KB
  41 447.7 KB
  41 - Reaching Tuple Elements Indexing And Slicing.mp4 19.7 MB
  42 87.9 KB
  42 - Creation of Dictionary.mp4 21.8 MB
  43 206.1 KB
  43 - Reaching Dictionary Elements.mp4 31.5 MB
  44 - Adding Changing Deleting Elements in Dictionary.mp4 16.2 MB
  44 35.3 KB
  45 - Dictionary Methods.mp4 34.7 MB
  45 238.2 KB
  46 - Creation of Set.mp4 32.8 MB
  46 115.4 KB
  47 - Adding Removing Elements Methods in Sets.mp4 18.8 MB
  47 233.4 KB
  48 - Difference Operation Methods In Sets.mp4 19.9 MB
  48 31.8 KB
  49 46.1 KB
  49 - Intersection Union Methods In Sets.mp4 10.8 MB
  5 - Reviewing The Jupyter Lab.mp4 48.9 MB
  50 - Asking Questions to Sets with Methods.mp4 23 MB
  52 - Structure of if Statements.mp4 27.8 MB
  6 - Python Introduction.mp4 25.3 MB
  7 - Project Files.html 102.4 B
  8 - FAQ regarding Python.html 6.2 KB
  50 452.7 KB
  51 29.8 KB
  51 - Comparison Operators.mp4 19.9 MB
  52 433 KB
  53 166.4 KB
  53 - Structure of ifelse Statements.mp4 15.6 MB
  54 - Structure of ifelifelse Statements.mp4 34.1 MB
  54 512 KB
  55 - Structure of Nested ifelifelse Statements.mp4 40.6 MB
  55 49.6 KB
  56 - Coordinated Programming with IF and INPUT.mp4 25 MB
  56 300.3 KB
  57 - Ternary Condition.mp4 20.6 MB
  57 406 KB
  58 419.6 KB
  58 - For Loop in Python.mp4 22.6 MB
  59 114 KB
  59 - For Loop in PythonReinforcing the Topic.mp4 23.1 MB
  60 - Using Conditional Expressions and For Loop Together.mp4 36.6 MB
  60 454.6 KB
  61 - Continue Command.mp4 13.8 MB
  61 68.7 KB
  62 - Break Command.mp4 20.7 MB
  62 85.2 KB
  63 101.2 KB
  63 - List Comprehension.mp4 25.9 MB
  64 - While Loop in Python.mp4 17 MB
  64 261.4 KB
  65 240.3 KB
  65 - While Loops in Python Reinforcing the Topic.mp4 58.8 MB
  66 196.9 KB
  66 - Getting know to the Functions.mp4 39.5 MB
  67 220.2 KB
  67 - How to Write Function.mp4 24.4 MB
  68 415.8 KB
  68 - Return Expression in Functions.mp4 17.8 MB
  69 489.1 KB
  69 - Writing Functions with Multiple Argument.mp4 13.6 MB
  70 246 KB
  70 - Writing Docstring in Functions.mp4 20.1 MB
  71 320.6 KB
  71 - Using Functions and Conditional Expressions Together.mp4 38.9 MB
  72 75.8 KB
  72 - Arguments and Parameters.mp4 47.4 MB
  73 - High Level Operations with Arguments.mp4 39.1 MB
  73 436.8 KB
  74 - all any Functions.mp4 27.6 MB
  74 11.4 KB
  75 - map Function.mp4 15.9 MB
  75 318 KB
  76 - filter Function.mp4 16.3 MB
  76 217.9 KB
  77 433.9 KB
  77 - zip Function.mp4 14.2 MB
  78 - enumerate Function.mp4 12.5 MB
  78 449.6 KB
  79 - max min Functions.mp4 7.6 MB
  79 88.7 KB
  80 508.5 KB
  80 - sum Function.mp4 5.6 MB
  81 250.1 KB
  81 - round Function.mp4 13.6 MB
  82 507.5 KB
  82 - Lambda Function.mp4 42.6 MB
  83 416 KB
  83 - Local and Global Variables.mp4 13.4 MB
  84 - Features of Class.mp4 31.6 MB
  84 443.8 KB
  85 - Instantiation of Class.mp4 23.5 MB
  86 - Attribute of Instantiation.mp4 32.8 MB
  87 - Write Function in the Class.mp4 24 MB
  88 - Inheritance Structure.mp4 35.5 MB
  89 - Python Python Programming with Python project 100 quizzes.html 307.2 B
  9 - First Step to Coding.mp4 28.1 MB
  TutsNode.net.txt 102.4 B
  [TGx]Downloaded from torrentgalaxy.to .txt 614.4 B
  ▲ 176 total files

Description


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 like

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
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

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.

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 Quality

All our videos are created/produced as high-quality video and audio to provide you the best learning experience.

You will be,

Seeing clearly
Hearing clearly
Moving through the course without distractions

You’ll also get:

Lifetime Access to The Course

Fast & Friendly Support in the Q&A section

Udemy Certificate of Completion Ready for Download

Dive 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
Who this course is for:

Anyone who wants to start learning Python bootcamp
Anyone who plans a career as Python developer
Anyone who needs a complete guide on how to start and continue their career with Python in data analysis
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

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

Last Updated 4/2023

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