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Learn Python With 20+ Real World Projects [In 2020]

What you’ll learn

  • Python Basics
  • PRO Python Tricks and Tips
  • 20+ Real Useful Python Application
  • Learn To Create Own Projects With Python

Requirements

Description

Hey,

         Learn Python Programming From Very Basics To Intermediate Level With 20+ Practical Projects This Course Is for Python Beginners As Well As Intermediate Python Developers Who Wants To Create Real-World Applications / Projects Using Python Programming Language.

Projects:-

1. Screenshot Application

2. Screenshot Application With GUI Interface

3. Password Generator

4. Email Sender Application

5. COVID-19 Updater / Notifier Bot

6. OCR – Image To Text

7. Chrome Automation

8. Text To Speech

9. Speech To Text 

10. Webcam Application

11. Screen Recorder

13. Face Detection

14. Weather Application

15. URL Shortener

16. Internet Speed Test

MANY MORE…

Enroll Now…!

Who this course is for:

  • Beginner’s in Python
  • Beginner’s in Python Curious about Projects
  • Beginner’s Intersented in Developing Projects In Python

Created by Arbaz Khan
Last updated 7/2020
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Size: 3.20 GB

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Master Math by Coding in Python

You can learn a lot of math with a bit of coding!

Many people don’t know that Python is a really powerful tool for learning math. Sure, you can use Python as a simple calculator, but did you know that Python can help you learn more advanced topics in algebra, calculus, and matrix analysis? That’s exactly what you’ll learn in this course.

This course is a perfect supplement to your school/university math course, or for your post-school return to mathematics.

Let me guess what you are thinking:

  • “But I don’t know Python!”  That’s okay! This course is aimed at complete beginners; I take you through every step of the code. You don’t need to know anything about Python, although it’s useful if you already have some programming experience.
  • “But I’m not good at math!”  You will be amazed at how much better you can learn math by using Python as a tool to help with your courses or your independent study. And that’s exactly the point of this course: Python programming as a tool to learn mathematics. This course is designed to be the perfect addition to any other math course or textbook that you are going through.

What do you get in this course?

  • Over 31 hours of instruction that includes Python coding, visualization, loops, variables, and functions.
  • LOTS of practical exercises! Each video has at least one hands-on coding/math exercise (and you’ll get to watch me solve those exercises). And each section ends with “bug hunts” where you get to find and fix my math-coding errors!
  • That warm, fuzzy feeling of confidence that you can combine the skills from this course to improve your understanding of mathematics.
  • A big-picture overview of beginner and advanced mathematics, from solving for “x” to computing integrals to finding eigenvalues. If you are only just beginning your adventures in maths, then this course will show you what you have to look forward to!

This course is right for you if you are:

  • In middle/high school, university, or are returning to math as an independent learner.
  • A data professional who wants to brush up on math and Python skills.
  • A complete beginner to Python.
  • Already proficient with math “in theory” and want to learn how to translate math formulas and concepts into computer code.
  • Bored and looking for a fun intellectual challenge.

With over 31 hours of teaching, plus student exercises, challenges and an active course Q&A forum (get a response to any question within 48 hours!), this course gives you everything you need to succeed in your maths course or independent adventures in learning math.

All the code that appears in the videos is also included for download. You can code along as you watch the videos, or download the code and use it directly.

This course covers the following topics:

  • Arithmetic
  • Introduction to Sympy
  • Introduction to LaTeX (to print beautiful equations!)
  • Algebra 1
  • Graphing
  • Algebra 2
  • Graphing conic sections
  • Trigonometry
  • Calculus
  • Linear algebra
  • …and  more!

Who is your teacher?

I am Mike X Cohen, an associate professor at the Radboud University (the Netherlands). I’m a bestselling and highly rated instructor on Udemy. I’ve taught over 32,000 students the foundations of scientific programming, data analysis, and applied mathematics, and I’ve written several textbooks on programming and data analyses.

I worked really hard to make this course a great learning experience for you. Check out what some of my students have said about my other courses:

***** ‘Best teacher ever. I am a psychologist and I didn’t have mathematical training as an undergrad, but the books and lectures of Dr. Cohen have been life saving’

***** ‘What I REALLY like about Mike’s style is that not only clear and direct, but he mixes in appropriate amounts of foreshadowing … to make it easier for me to connect the dots.’

***** ‘Mike X Cohen’s courses are by far the best ones I’ve done in Udemy.’

What you should do right now:

Watch the free preview videos.

Check out the reviews of this course.

Joining this course is risk-free: If you change your mind after enrolling, Udemy offer a 30 day money back guarantee, and you can find full details here: https://support.udemy.com

Who this course is for:

  • Maths students looking to use computers as a learning tool
  • Developers keen to improve their math skills
  • Independent learners returning to maths
  • Programmers who want to use their coding skills to explore mathematics

Created by Codestars by Rob Percival, Mike X Cohen
Last updated 2/2020
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Size: 9.18 GB

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Automate The Boring Stuff With Python Programming


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A practical programming course for office workers, academics, and administrators who want to improve their productivity.

What Will I Learn?

  • Automate tasks on their computer by writing simple Python programs.
  • Write programs that can do text pattern recognition with “regular expressions”.
  • Programmatically generate and update Excel spreadsheets.
  • Parse PDFs and Word documents.
  • Crawl web sites and pull information from online sources.
  • Write programs that send out email notifications.
  • Use Python’s debugging tools to quickly figure out bugs in your code.
  • Programmatically control the mouse and keyboard to click and type for you.

Requirements

  • No programming experience is required.
  • Downloading and installing Python is covered at the start of the course.
  • Basic computer skills: surfing websites, running programs, saving and opening documents, etc.

Description

If you’re an office worker, student, administrator, or just want to become more productive with your computer, programming will allow you write code that can automate tedious tasks. This course follows the popular (and free!) book, Automate the Boring Stuff with Python.

Automate the Boring Stuff with Python was written for people who want to get up to speed writing small programs that do practical tasks as soon as possible. You don’t need to know sorting algorithms or object-oriented programming, so this course skips all the computer science and concentrates on writing code that gets stuff done.

This course is for complete beginners and covers the popular Python programming language. You’ll learn basic concepts as well as:

  • Web scraping
  • Parsing PDFs and Excel spreadsheets
  • Automating the keyboard and mouse
  • Sending emails and texts
  • And several other practical topics

By the end of this course, you’ll be able to write code that not only dramatically increases your productivity, but also be able to list this fun and creative skill on your resume.

Who is the target audience?

  • Office workers, students, small/home business workers, and administrators would want to improve their productivity.
  • Aspiring software engineers who want to add skills to their programming toolbelt.
  • Computer users who have heard the “learn to code” message, but want practical reasons to learn programming.
  • Experienced Python software engineers can skip the first half of the course, but may find the later parts that cover various third-party modules helpful.
  • While this course doesn’t cover specific devops tools, this course would be useful for QA, devops, and admins who want to learn scripting in Python.

Created by Al Sweigart
Last updated 7/2017
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Size: 2.42 GB

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Deep Learning: Advanced Computer Vision

Highest RatedCreated by Lazy Programmer Inc.

Last updated 8/2019English

English Subs [Auto-generated]This course includes

  • 7 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

What you’ll learn

  • Understand and apply transfer learning
  • Understand and use state-of-the-art convolutional neural nets such as VGG, ResNet and Inception
  • Understand and use object detection algorithms like SSD
  • Understand and apply neural style transfer
  • Understand state-of-the-art computer vision topics

Course content

all 68 lectures 07:14:30

Requirements

  • Know how to build, train, and use a CNN using some library (preferably in Python)
  • Understand basic theoretical concepts behind convolution and neural networks
  • Decent Python coding skills, preferably in data science and the Numpy Stack

Description

This is one of the most exciting courses I’ve done and it really shows how fast and how far deep learning has come over the years.

When I first started my deep learning series, I didn’t ever consider that I’d make two courses on convolutional neural networks.

I think what you’ll find is that, this course is so entirely different from the previous one, you will be impressed at just how much material we have to cover.

Let me give you a quick rundown of what this course is all about:

We’re going to bridge the gap between the basic CNN architecture you already know and love, to modern, novel architectures such as VGGResNet, and Inception (named after the movie which by the way, is also great!)

We’re going to apply these to images of blood cells, and create a system that is a better medical expert than either you or I. This brings up a fascinating idea: that the doctors of the future are not humans, but robots.

In this course, you’ll see how we can turn a CNN into an object detection system, that not only classifies images but can locate each object in an image and predict its label.

You can imagine that such a task is a basic prerequisite for self-driving vehicles. (It must be able to detect cars, pedestrians, bicycles, traffic lights, etc. in real-time)

We’ll be looking at a state-of-the-art algorithm called SSD which is both faster and more accurate than its predecessors.

Another very popular computer vision task that makes use of CNNs is called neural style transfer.

This is where you take one image called the content image, and another image called the style image, and you combine these to make an entirely new image, that is as if you hired a painter to paint the content of the first image with the style of the other. Unlike a human painter, this can be done in a matter of seconds.

I hope you’re excited to learn about these advanced applications of CNNs, I’ll see you in class!

AWESOME FACTS:

  • One of the major themes of this course is that we’re moving away from the CNN itself, to systems involving CNNs.
  • Instead of focusing on the detailed inner workings of CNNs (which we’ve already done), we’ll focus on high-level building blocks. The result? Almost zero math.
  • Another result? No complicated low-level code such as that written in TensorflowTheano, or PyTorch (although some optional exercises may contain them for the very advanced students). Most of the course will be in Keras which means a lot of the tedious, repetitive stuff is written for you. 

Suggested Prerequisites:

  • Know how to build, train, and use a CNN using some library (preferably in Python)
  • Understand basic theoretical concepts behind convolution and neural networks
  • Decent Python coding skills, preferably in data science and the Numpy Stack

TIPS (for getting through the course):

  • Watch it at 2x.
  • Take handwritten notes. This will drastically increase your ability to retain the information.
  • Write down the equations. If you don’t, I guarantee it will just look like gibberish.
  • Ask lots of questions on the discussion board. The more the better!
  • Realize that most exercises will take you days or weeks to complete.
  • Write code yourself, don’t just sit there and look at my code.

WHAT ORDER SHOULD I TAKE YOUR COURSES IN?:

  • Check out the lecture “What order should I take your courses in?” (available in the Appendix of any of my courses, including the free Numpy course)

Who this course is for:

  • Students and professionals who want to take their knowledge of computer vision and deep learning to the next level
  • Anyone who wants to learn about object detection algorithms like SSD and YOLO
  • Anyone who wants to learn how to write code for neural style transfer
  • Anyone who wants to use transfer learning
  • Anyone who wants to shorten training time and build state-of-the-art computer vision nets fast

Size: 1.47GB

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Deep Learning Prerequisites: The Numpy Stack In Python

  • Understand linear algebra and the Gaussian distribution
  • Be comfortable with coding in Python
  • You should already know “why” things like a dot product, matrix inversion, and Gaussian probability distributions are useful and what they can be used for

Description

Welcome! This is Deep Learning, Machine Learning, and Data Science Prerequisites: The Numpy Stack in Python.

One question or concern I get a lot is that people want to learn deep learning and data science, so they take these courses, but they get left behind because they don’t know enough about the Numpy stack in order to turn those concepts into code.

Even if I write the code in full, if you don’t know Numpy, then it’s still very hard to read.

This course is designed to remove that obstacle – to show you how to do things in the Numpy stack that are frequently needed in deep learning and data science.

So what are those things?

Numpy. This forms the basis for everything else.  The central object in Numpy is the Numpy array, on which you can do various operations.

The key is that a Numpy array isn’t just a regular array you’d see in a language like Java or C++, but instead is like a mathematical object like a vector or a matrix.

That means you can do vector and matrix operations like addition, subtraction, and multiplication.

The most important aspect of Numpy arrays is that they are optimized for speed. So we’re going to do a demo where I prove to you that using a Numpy vectorized operation is faster than using a Python list.

Then we’ll look at some more complicated matrix operations, like products, inverses, determinants, and solving linear systems.

Pandas. Pandas is great because it does a lot of things under the hood, which makes your life easier because you then don’t need to code those things manually.

Pandas makes working with datasets a lot like R, if you’re familiar with R.

The central object in R and Pandas is the DataFrame.

We’ll look at how much easier it is to load a dataset using Pandas vs. trying to do it manually.

Then we’ll look at some dataframe operations, like filtering by column, filtering by row, the apply function, and joins, which look a lot like SQL joins.

So if you have an SQL background and you like working with tables then Pandas will be a great next thing to learn about.

Since Pandas teaches us how to load data, the next step will be looking at the data. For that we will use Matplotlib.

In this section we’ll go over some common plots, namely the line chart, scatter plot, and histogram.

We’ll also look at how to show images using Matplotlib.

99% of the time, you’ll be using some form of the above plots.

Scipy.

I like to think of Scipy as an addon library to Numpy.

Whereas Numpy provides basic building blocks, like vectors, matrices, and operations on them, Scipy uses those general building blocks to do specific things.

For example, Scipy can do many common statistics calculations, including getting the PDF value, the CDF value, sampling from a distribution, and statistical testing.

It has signal processing tools so it can do things like convolution and the Fourier transform.

In sum:

If you’ve taken a deep learning or machine learning course, and you understand the theory, and you can see the code, but you can’t make the connection between how to turn those algorithms into actual running code, this course is for you.

HARD PREREQUISITES / KNOWLEDGE YOU ARE ASSUMED TO HAVE:

  • linear algebra
  • probability
  • Python coding: if/else, loops, lists, dicts, sets
  • you should already know “why” things like a dot product, matrix inversion, and Gaussian probability distributions are useful and what they can be used for

TIPS (for getting through the course):

  • Watch it at 2x.
  • Take handwritten notes. This will drastically increase your ability to retain the information. This has been proven by research!
  • Ask lots of questions on the discussion board. The more the better!
  • Realize that most exercises will take you days or weeks to complete.

WHAT ORDER SHOULD I TAKE YOUR COURSES IN?:

  • Check out the lecture “What order should I take your courses in?” (available in the Appendix of any of my courses)

Who this course is for:

  • Students and professionals with little Numpy experience who plan to learn deep learning and machine learning later
  • Students and professionals who have tried machine learning and data science but are having trouble putting the ideas down in code

Created by Lazy Programmer Inc.
Last updated 3/2019
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Size: 852.70 MB

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Learn Python Programming From Scratch

  • Access to a PC with minimum of 2GB Ram

Description

Python is one of the most important programming language and must be part of any programmer repertoire worth their salt. Python as a general purpose high level programming language is known for its simplicity. It provides constructs which allows developer to create software with fewer lines of code enabling better readability and less complexity. It also supports multiple programming styles such as functional, object oriented, procedural and imperative.

This course has been created for absolute beginners. You will start the training from the ground up and will get to know the python language and its potential in and out. We have kept the learn-ability curve pretty straight forward for this course. But this course will teach you advance python programming also. There are numerous practical coding examples to cement your concepts. You will also build couple of projects which will make you a complete python professional.

The main concepts covered in this course are

Basic Python programming Syntax

Python Data Structures

Object Oriented Programming in Python

Web programming in Python

Django framework for Python

Learn all this and much more in this amazing course.

Who this course is for:

  • Programmers who want to start with python
  • Java,C and DB developers who want to use python and Django in their projects

Created by Eduonix Learning Solutions, Eduonix-Tech ., Eduonix Support
Last updated 12/2018
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Size: 463.20 MB

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IT & Software

Learn Social Engineering From Scratch

  • Basic IT Skills
  • No Linux, programming or hacking knowledge required.
  • Computer with a minimum of 4GB ram/memory
  • Operating System: Windows / OS X / Linux

Description

Welcome to my comprehensive course on Social Engineering! In this course, you will start as a beginner with no previous knowledge in hacking, and by the end of it you’ll be at a high level in social engineering being able hack into all major operating systems (windows, OS X, Linux and Android) like black-hat hackers and secure yourself from hackers.

This course is focused on the practical side of social engineering without neglecting the theory, first you’ll learn how to install the needed software (works on Windows, Linux and Mac OS X), then the course is divided into a number of section to represent the steps you’d take to successfully hack a target using social engineering.

1. Information Gathering – First before doing anything you need to know your target, so in this section you’ll learn how to gather information about your target weather it is a company, website or just a person. You will learn how to discover anything that is associated with your target such as websites, links, companies, people, emails, phone numbers, friends, social networks accounts …etc, you will also learn how to graph all of this information and use it to build a smart attack strategy.

2. Generating Malware  – Now that you gathered enough information about your target and came up with an attack strategy, the next step is create custom malware that is attractive to the target. In this section you will learn how to generate evil files (files that execute tasks you want on the target computer), this includes backdoors, keyloggers, credential harvester and more, these files will work on all operating systems (Windows, OS X, Linux and Android), you’ll also learn how to enhance these files to make them bypass all anti-virus programs, and make them look and function just like any other file such as an image or a pdf,  or even embed them in legitimate Microsoft Office documents.

3. Delivery Methods – Now that you have your custom-made trojan ready, in this section you will learn a number of social engineering techniques to deliver it to the target, you will learn how to create fake websites that look identical to websites the target trusts, send emails that appear like they’re coming from people the target trusts and use fake login pages and fake updates to hack into the target, not only that but you’ll also learn advanced social engineering techniques to lure the target into visiting an evil URL and hack into their system without even interacting with them.

4. Post Exploitation – In this section you will learn how to interact with the systems you compromised weather they use Windows, Linux, OS X or even Android. You’ll learn how to access the file system (read/write/upload/execute), maintain your access, escalate your privileges, spy on the target, use the target computer as a pivot to hack other computers and more! If your target uses Android then you’ll also learn how to read their messages, find their location, access their other accounts (such as Whatsapp, Facebook …etc) and more!

Finally at the end of the course you will learn how to protect yourself and your systems from these attacks.

All the attacks in this course are practical attacks that work against real computers, in each technique you will understand the theory behind it and how it works, then you’ll learn how to use that technique in a real life scenario, so by the end of the course you’ll be able to modify these techniques or combinethem to come up with more powerful attacks and adopt them to different scenarios and different operating systems.

With this course you’ll get 24/7 support, so if you have any questions you can post them in the Q&A section and we’ll respond to you within 15 hours.

NOTE: This course is created for educational purposes only and all the attacks are launched in my own lab or against devices that I have permission to test.

NOTE: This course is totally a product of Zaid Sabih and no other organization is associated with it or a certification exam. Although, you will receive a Course Completion Certification from Udemy, apart from that NO OTHER ORGANIZATION IS INVOLVED.

Who this course is for:

  • People who want to learn ethical hacking / social engineering
  • People who want to learn how hackers hack into secure systems that do not have any vulnerabilities
  • Anybody who wants to learn how to secure their systems from social engineering attacks

Created by Zaid Sabih, z Security
Last updated 5/2019
English
English

Size: 2.69 GB

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Development

Complete Python Programming From Basics To Advance Level

Learn python in detail covering Basics and Advance(Object Oriented Programming) and GUI (Apps) in python Mega Course

What you’ll learn

  • learn Python language in detail (Basics + Advance + GUI programming (tkinter))
  • Object Oriented Programming – Class and Object, Inheritance, Polymorphism, Abstraction & Encapsulation
  • Loops(for while), conditionals(if else), Numbers and Strings, lists, functions, set
  • Graphical User Interface (GUI) programming using tkinter (Menu, Widgets, ttk Module and more )
  • Tic Tac Toe Game detail explanation from coding to GUI

Requirements

  • No prior knowledge of python or programming is required.
  • Computer and Internet connection

Description

This course covers Basics as well as Advance level topics in python + GUI programming, as this course is MEGA course so it starts from scratch explaining python language with a slow pace to benefit students who have just started programming and then moves to Advance topics like Object Oriented Programming in python, and python GUI programming with high pace for better understandings
This course can be Divided into 3 major parts.
1. Basics of python

2. Advance Object Oriented Programming in python

3. tkinter (GUI programming)

python (Basics + Advance(OOP) + GUI programming)

Who this course is for:

  • Students who want to learn Python programming Language
  • Students who want to learn Object Oriented Programming
  • Students who want to learn GUI programming in python 3
  • Students who want to learn python Basics + Advance + GUI at one place

Created by Muhammad Hamza AbdulRehman
Last updated 4/2019
English
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Size: 2.35 GB

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Data Visualization On The Browser With Python And Bokeh

A complete guide on creating beautiful plots and data dashboards on the browser using the Python Bokeh library.

What you’ll learn

  • Build advanced data visualization web apps using the Python Bokeh library.
  • Create interactive modern web plots that represent your data impressively.
  • Create widgets that let users interact with your plots.
  • Learn all the available Bokeh styling features.
  • Integrate and visualize data from Pandas DataFrames.
  • Create dynamic graphs that plot real-time data.
  • Plot time-series data.
  • Integrate your data visualization apps with Flask apps.
  • Deploy the apps in live servers.
  • Learn how to troubleshoot Bokeh apps.

Requirements

  • A working computer (Windows, Mac, or Linux)
  • Basic knowledge of Python

Description

If you love Python and want to impress your clients or your employer with impressive data visualization on the browser, Bokeh is the way to go. This course is a complete guide to mastering Bokeh which is a Python  library for building advanced and modern data visualization web applications. The course will guide you step by step starting from plotting simple datasets to building rich and beautiful data visualization web apps that plot data in real time and allow web users to interact and change the behavior of your plots via internet from their browsers. Bokeh is a brand new data science library that is gaining traction fast so it’s smart to be ahead of the competition and pack the skills in your portfolio.

Whether you are a data analyst, data scientist, statistician or any other specialist in the data industry this course is perfect for you as it will give you the skills to visualize data in a way that excites your audience and eventually sells your product or your idea much easier. All you need to have to learn Bokeh is some basic prior knowledge of Python.

The course also contains exercises to help you check your skills as you progress. You will be given access to various data samples and will be provided with additional examples to enforce your Bokeh skills. The course is estimated to take you around four weeks to complete assuming you devote a 10-20 hour / week depending on your productivity skills. You also get daily instructor support in the student forum inside the course which guarantees your success.

Who this course is for:

  • Anyone involved in the data industry
  • Anyone who is already familiar with Python basics

Created by Ardit Sulce
Last updated 11/2018
English
English

Size: 937.26 MB

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Learn Responsive Web Development From Scratch

A Comprehensive Course on Responsive Web Design and Twitter Bootstrap 3

What you’ll learn

Requirements

  • Any PC with a net connection

Description

With smartphone revolution and explosion of tablet sales worldwide it is important that your websites are geared towards different screens and resolutions. Responsive web design is the most important attribute of modern web development. Eduonix brings to you the most comprehensive course on the responsive web design. This unique course covers not only strategies tools tips and tricks for generic web design in HTMl5 and CSS3 but also covers Twitter Bootstrap 3 the cool framework for creating responsive websites in detail.

Our project based learning will teach you the concepts while working on projects which implement the concepts covered in the lectures. This is a must learn course for any serious web developer. This two part course will teach you everything you need to build responsive websites.

Who this course is for:

  • Anyone with basic knowledge of HTML

Created by Eduonix Learning Solutions, Eduonix-Tech .
Last updated 12/2018
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Size: 814.03 MB

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Python 3 Programming: Beginner To Pro Masterclass

We are on a mission to create the most complete Python programming guide in the World.

From Python basics to techniques used by pros, this masterclass provides you with everything you need to start building and applying Python.

“Python Beginner to Pro Masterclass” is our flagship Python course that delivers unique learning with 3 immersive courses packed into 1 easy-to-learn package:

  1. First, prepare yourself by learning the basics and perfect your knowledge of the language with a beginner to pro Python programming course.
  2. Next, build on your knowledge with a practical, applied and hands-on Python course with over 20 real-world applications problems and 100 coding exercises to help you learn in a practical, easy and fun way. These will be invaluable projects to showcase during future job interviews!
  3. Finally, push your boundaries with a data science and machine-learning course covering practical machine learning applications using Python. Dive into real-life situations and solve real-world challenges.

So, why is Python the golden programming language these days? And what makes it the best language to learn today?

Python ranks as the number one programming language in 2018 for five simple reasons that are bound to change the shape of your life and career:

(1)   Easy to learn: Python is the easiest programming language to learn. In fact, at the end of this single course, you’ll be able to master Python and its applications regardless of your previous experience with programming.

(2)   High Salary: Did you know that the average Python programmer in the U.S. makes approximately $116 thousand dollars a year? With “Python 3 Beginning to Pro Masterclass” you’re setting yourself for up for increased earning potential that can only rise from here.

(3)   Scalability: It’s true, Python is easy to learn. But it’s also an extremely powerful language that can help you create top-tier apps. In fact, Google, Instagram, YouTube, and Spotify are all built using Python.

(4)   Versatility: What’s more, Python is by far the most versatile programming language in the world today! From web development to data science, machine learning, computer vision, data analysis and visualization, scripting, gaming, and more, Python has the potential to deliver growth to any industry.

(5)   Future-proof Career:  The high demand and low supply of Python developers make it the ideal programming language to learn today. Whether you’re eyeing a career in machine learning or artificial intelligence, learning Python is an invaluable investment in your career.

Who this course is for:

  • Anyone who wants to learn Python.
  • Beginners who have just started to learn Python
  • Professionals who want to learn Python through Real World Applications
  • Professionals who want to obtain particular skill, such as Web Scraping, Working With Databases, Build Websites, etc

Created by Dr. Ryan Ahmed, Ph.D., MBA, Kirill Eremenko, Hadelin de Ponteves, Mitchell Bouchard, SuperDataScience Team
Last updated 2/2019
English
English [Auto-generated]

Size: 13.42 GB

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Learn Programming In Python With The Power Of Animation


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A Programming Course in Python, great for beginners. It will teach you Python from scratch using Animation & programming

What you’ll learn

  • You will be able to use Python as a programming language.
  • Use the skills that you learn in order to start easily a different programming language.

  • Develop a Library of Fundamental Programs with the Purpose of Modifying them and Using them in the Future

  • You will be able to understand and solve programming problems.
  • The course will be continually updated.
  • We are here to answer your questions as soon as possible.

Requirements

  • No, you don’t even have to download Python. You can go to repl_it – python and program there

Description

Python is a great language to master! I know that the process of learning programming can be difficult and frustrating. For this reason, we decided to develop a different learning experience for you. Instead of just programming Python on a screen, we use the power of animation in order to analyze the basic ideas. At the same time, I use a digital pen in order to develop the solution of the problem for you. And finally, when you come to a good level of understanding of the problem, we start the actual programming in Python language.

With these 3 layers of teaching process, you will never feel that you can’t build a program in Python, because we will be helping you in every step of the way. You will go a step further, by learning not only the command lines in the Python language but you will also develop your algorithmic way of thinking, in order to solve any problem efficiently and easily.

If you already have previous exposure to a programming language not only programming in Python but also Java, C++, C you already know that the challenging part is not how to write a command line correctly. It is how to use all the bits and pieces that you have learned in order to solve a problem. How to take an application idea that you have and transform it into a program that works correctly under every situation. For this reason, we give the attention that every part of programming really needs. So in the first part of the course we will start by learning the basics about Variables and how to solve interesting and challenging programs only with Variables. Then in the next parts you will learn about the If statement, loops, functions and many more that a programming language like Python has. Our methodology involves solving carefully chosen problems. In most cases, we will create 2 or even 3 different solutions, in order to teach you not only how to solve a problem, but how to craft a solution, and how you can take different paths in order to reach a certain destination.

To follow this course you need to have a compiler to work in. You have two main options:

  • The first one is to download Python language from the internet. You can find numerous tutorials for that on YouTube, so I really don’t want to waste your time with information that is not essential.
  • The second one is to use a special web site where you can program in python language without any installation. More specifically, you can find it in google just by writing “replit – python language”.

So come along to check out how our different approach works for you!

Who this course is for:

  • Perfect course for someone who wants to start programming for the first time.
  • It is also ideal for someone who already knows coding but struggles to solve problems or turn ideas into actual code.
  • Finally, it is a great place to expand your knowledge by learning Python, if you have already mastered other programming languages.

Created by Miltiadis Saratzidis
Last updated 3/2019
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Size: 431.52 MB

 

 

 

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Spark And Python For Big Data With PySpark

  • General Programming Skills in any Language (Preferrably Python)
  • 20 GB of free space on your local computer (or alternatively a strong internet connection for AWS)

Description

Learn the latest Big Data Technology – Spark! And learn to use it with one of the most popular programming languages, Python!

One of the most valuable technology skills is the ability to analyze huge data sets, and this course is specifically designed to bring you up to speed on one of the best technologies for this task, Apache Spark! The top technology companies like Google, Facebook, Netflix, Airbnb, Amazon, NASA, and more are all using Spark to solve their big data problems!

Spark can perform up to 100x faster than Hadoop MapReduce, which has caused an explosion in demand for this skill! Because the Spark 2.0 DataFrame framework is so new, you now have the ability to quickly become one of the most knowledgeable people in the job market!

This course will teach the basics with a crash course in Python, continuing on to learning how to use Spark DataFrames with the latest Spark 2.0 syntax! Once we’ve done that we’ll go through how to use the MLlib Machine Library with the DataFrame syntax and Spark. All along the way you’ll have exercises and Mock Consulting Projects that put you right into a real world situation where you need to use your new skills to solve a real problem!

We also cover the latest Spark Technologies, like Spark SQL, Spark Streaming, and advanced models like Gradient Boosted Trees! After you complete this course you will feel comfortable putting Spark and PySpark on your resume! This course also has a full 30 day money back guarantee and comes with a LinkedIn Certificate of Completion!

If you’re ready to jump into the world of Python, Spark, and Big Data, this is the course for you!

Who this course is for:

  • Someone who knows Python and would like to learn how to use it for Big Data
  • Someone who is very familiar with another programming language and needs to learn Spark

Created by Jose Portilla
Last updated 11/2018
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Size: 1.55 GB

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Learn Python – Python Programming For Beginners From Scratch

Python is a highly paid programming language and is great for beginners. Learn Python from scratch with free exercises.

What you’ll learn

  • Create simple python applications and move on to more advanced courses

Requirements

  • A computer and a desire to learn

Description

Are you interested in learning Python?

Python is the future of software development. This high-level programming language is commonly regarded as the best programming language to learn for beginners.  And now you can learn it all from the comfort of your home.. in your own time.. without having to attend class.

Learning Python will give you more opportunities for jobs and career advancement because Python is one of the most requested skills today.

5-Star Testimonials

I know this that this is a beginner’s course. The instructor has a calm and patient voice. It appears that he wants you to learn how to do it. 5 stars earned! I am glad that I took the first step!

Extremely good instructor. His pace is very normal and his explanation is really great. When he was explaining the concepts, Python looked really simple for me, even though this was the first overview i had.

Yes, the videos are very easy to follow and understand.

Why learn Python?

  • It’s fun and easy to learn
  • High salaries
  • Python is used for many kinds of development
  • Python is the future of AI and Machine Learning.
  • Diversity and flexibility
  • And many more

Who is this for?

This course is for anyone who wants to take their skills to the next level. Python is a programming language that many believe to be the future of software development. No previous programming experience required. This course is also a great reference for those who are experienced with Python.

This course comes with a 30 day money back guarantee! If you are not satisfied in any way, you’ll get your money back.

Who this course is for:

  • Anyone who is interested in learning to code

Created by Ian Annase
Last updated 9/2018
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Size: 339.39 MB

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Selenium WebDriver With Python 3.X – Novice To Ninja

*** Best Selenium WebDriver With Python Programming Language Course *** Complete Framework Implementation From Scratch ***

This course includes a wide range of topics from Selenium WebDriver Basics and Advanced, Python Programming ConceptsUnittest And Pytest FrameworkAutomation Framework Design (Page Objects, Data Driven, Reading CSV Files), Logging InfrastructureCross-Browser Testing, Interview Preparation. All materials including code files.
You achieve two targets with one single course

  1. Complete Python Programming Language
  2. Selenium WebDriver Automation

Why Python Programming Language?

Python Programming Language is the fastest growing programming language within both the fields, development and testing. QA industry is rapidly progressing to move on with Python Programming Language for all the automation needs because of the flexibility it offers.

***** One stop place to become an Expert in Web Automation Framework related technologies from scratch *****

We start from Beginners level and go through Advance level. This is a single course for everything you need to know related to Web UI Automation.

********************* WHAT MAKES THIS COURSE BEST ON UDEMY? *****************************

We assume that students have no experience in automation/coding and start every topic from scratch and basics.

Examples are taken from TESTING REAL TIME HOSTED WEB APPLICATIONS to understand how different components can be automated, that will give you idea of industry level framework and give you confidence.

NO PRIOR CODING OR AUTOMATION EXPERIENCE NEEDEDthis course covers all the necessary topics.

Get more than 20 hours of unique content with real example code files provided to refer and learn with examples.

Get awesome Support, on demand desktop session on Team Viewer and Skype.

*******************************************************************************************************

Join the group of more than 25000 students learning from us in different courses with positive feedback.

  • Are you looking to step into automation industry with the latest technologies in market?
  • Are you keen to learn GUI automation using Selenium WebDriver With Python Programming Language and other latest framework technologies?
  • Interested in learning how Selenium WebDriver is used in projects?

Please take a look at the complete curriculum to get an idea of topics covered in this course.

Who this course is for:

  • Quality Assurance professionals and Manual testers looking to start career on test automation
  • Quality Assurance Automation professionals to intensify their current test automation skill sets
  • Fresh Graduates who want to make a dream career in software engineering
  • Quality Assurance Team leads and Managers

Created by Lets Kode It
Last updated 4/2019
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Size: 3.93 GB

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Mobile App Design From Scratch With Sketch 3 : UX And UI

  • No specific skills required
  • You need to have a mac (Sketch, the design software we’ll be using is available on mac only)
  • If using a Windows computer, you need to make sure you are running the OS X virtual environment on your computer

Description

WELCOME TO THE NEW, IMPROVED AND UPDATED VERSION OF THE BEST SELLING MOBILE APP DESIGN COURSE ON UDEMY

This course is not just about creating a pretty app, it’s about designing an app that works great and happens to be beautiful. We’ll teach you a complete design workflow that will allow you turn your idea into a fully designed and engaging mobile app using Sketch 3.

Learn to design engaging apps with this beginners mobile app design course

  • Master the ins and outs of Sketch 3
  • Design a beautiful and user-friendly interface for your app
  • Learn UX Research techniques to craft an engaging app
  • Learn Design best practices to build your product efficiently
  • Outline your visual concept

A skill that will change your life
Mobile apps are everywhere, transforming our personal and profesionnal lives. And what makes an app successful is how well it is conceived. The demand for people able to design such engaging and well thought apps is constantly growing. That’s why mobile app designers are averaging over $100k a year.
With Sketch 3 and this course, you’ll have the skills to produce professional designs even if you have zero previous experience.

Content and Overview

This course is efficiency oriented and is taught with an example. Each lesson represents a step in the design process that will be applied to the app we will be building and that we’ll help you apply to your own idea. You don’t need any previous experience as a designer, we’ll teach you everything you need to know along the way.

We’ll begin by teaching you what UX is, how it affects the UI design and how you can use UX research techniques to craft a great app. We’ll show you how to efficiently build a quick first version of your app and how to preview it on a device. This will get you used to Sketch and we’ll give you exercises to build up your design skills.
We’ll then work on the visual concept of your app, you’ll learn about colors, fonts and how to properly use them. This will allow us to create the final design of our app, beautiful and functional. In this section we’ll dive deep into Sketch amazing functions and best practices.
You’ll even learn how to design an icon for the app and showcase your finished app !

By the end of this course you’ll…

  • Be able to explore your idea in depth to find the right way to build your app
  • Have a full proficiency in design software
  • Have a very good understanding of design principles and how to use them
  • Be able to build graphic illustrations and icons even if you’ve never drawn anything in your life
  • Know how to choose the flow and navigation of your app
  • Know how to create a very clear layout that will serve your content
  • Know how to create the identity of your app and how to choose and use colors and fonts
  • Be completely autonomous as a designer
  • Save a lot of money and time by not needing to work with a freelance designer

Who this course is for:

  • This course will benefit entrepreneurs, developers, and designers looking to move into the mobile applications market
  • This course is not about learning how to code an app but is focused on learning how to design an app that makes sense

Created by A D, Adrien Dupuy
Last updated 9/2017
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Size: 2.40 GB

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30 Days Of Python | Unlock Your Python Potential

Python is simple enough for beginners, powerful enough for the pros. Use it for IOT, Web Scraping, Big Data, and more.

What Will I Learn?

  • Understand the Basics of Python
  • Build Applications using Python
  • Send Emails with Python
  • Scrape Websites with Python to pull data
  • Scrape dynamic-loaded (javascript-loaded) Websites with Python
  • Read and Parse emails using Python
  • Read / Write CSV (comma separated values) files to work in Excel/Numbers
  • Use the Twitter API to send tweets easily through a few lines of code
  • Use the Yelp API to pull data about all businesses they have on their site

Requirements

  • We show you how to install Python and how to work with it
  • Mac OS X or Higher, Windows 8 or Higher, Linux

Description

In early 2016, Python passed Java as the #1 beginners language in the world. Why? It’s because it’s simple enough for beginners yet advanced enough for the pros.

SpaceX uses it to launch Rockets

Pixar uses Python to run their animation software

Instagram & Pinterest use it to run their web application (backend via Django)

Come learn with me and I’ll show you how you can bend Python to your will. This course is great for beginners in Python at any age and any level of computer literacy.

The goal is simple: learn Python by building real projects step-by-step while we explain every concept along the way.  For the next 30 Days you’re going to learn how to:

  • Scrape Data from nearly Any Website (including javascript-enabled sites)
  • Build your own Python applications for all types of automation
  • Send Emails & SMS text messages to your friends our your customers
  • Read & Write CSV, aka comma separated values, files to better store your data locally and work in popular programs like Microsoft Excel and Apple Numbers
  • Understand the basics behind the Python programming language so you’re ready to build more advanced projects like Web Applications

Who is the target audience?

  • Entrepreneurs and Non-Technical Founders
  • Anyone interested in learning Python
  • Beginners
  • Growth Hackers
  • Anyone interested in learning how to Scrape Websites for data/big data analysis
  • Anyone interested in Automating Email on their own terms

Created by Justin Mitchel
Last updated 10/2016
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Size: 1.61 GB

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React, NodeJS, Express & MongoDB – The MERN Fullstack Guide

  • Basic knowledge about ReactJS is required
  • ReactJS Hooks knowledge is recommended
  • Basic knowledge about Node, Express and MongoDB is recommended but not a must-have
  • NO expert React knowledge or MERN knowledge is required

Description

Building fullstack applications (i.e. frontend + backend) with the MERN stack is very popular – in this course, you will learn it from scratch at the example of a complete project!

MERN stands for MongoDB, Express.js, React.js and Node.js – and combined, these four technologies allow you to build amazing web applications.

In this course, we’ll build an entire project and you will learn how these different technologies work together step by step. We’ll first have a look at all the individual building blocks, so that we then can also combine them all into one amazing application by the end of the course.

This course also doesn’t stop after the basics – instead, you’ll also learn how to add file upload, authentication, authorization and how to deploy your application in different ways to different hosting services.

This course is taught by two instructors – Max (React.js, Node/ Express) and Manuel (MongoDB) who have years of experience of working with these technologies and teaching them to other people. We took and combined our experiences to deliver you the best possible MERN stack course you can find out there.

In detail, this course offers:

  • Brief refreshers on the core technologies (React, Node, Express, MongoDB)
  • Project sections for each technology where the theoretic knowledge is applied
  • Detailed theory about the MERN stack and the different ways of combining the technologies
  • A complete course project where all the technologies come together into one application
  • File (image) upload in both React.js (sending the file) and Node/ Express (receiving the file)
  • User authentication (signup + login)
  • User authorization (controlling access to certain resources)
  • Detailed deployment instructions – including different ways of deploying the application
  • Tons of quizzes and extra resources!

By the end of this course, you’ll feel comfortable building your own MERN stack applications and you can build up on all the knowledge taught throughout this course to dive into your own projects and use-cases.

What are the requirements for taking this course?

  • NO prior MERN stack knowledge is required
  • Basic React.js knowledge is strongly recommended – a refresher is provided as part of the course but this course is NOT meant to teach React from the ground up
  • Basic Node + Express knowledge is recommended but not a must-have

As always, this course comes with a 30-day money-back guarantee.

We’d love to dive into this course together with you!

Who this course is for:

  • Developers who got basic React knowledge and now want to build a fullstack app
  • Advanced React developers who are interested in connecting React apps to Node/ Express
  • Node/ Express developers who want to learn how to add a modern frontend to their backend

Created by Academind by Maximilian Schwarzmüller, Maximilian Schwarzmüller, Manuel Lorenz
Last updated 11/2019
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Size: 7.58 GB

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Assignment Help

My favorite thing at the space art exhibit was a room full of robots made from nuts, bolts, and car parts. Blinking, talking. They posed the robots in front of paintings from of all different kinds of real and imaginary planet landscapes such as Jupiter and Mars. Some of the robots were fierce, and some wore makeup. I also liked the “space city” that some artist constructed by cutting small holes in of all kinds of colorful tents and lighting them from within.

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My favorite thing at the space art exhibit was a room full of robots made from nuts, bolts, and car parts. Blinking, talking. They posed the robots in front of paintings from of all different kinds of real and imaginary planet landscapes such as Jupiter and Mars. Some of the robots were fierce, and some wore makeup. I also liked the “space city” that some artist constructed by cutting small holes in of all kinds of colorful tents and lighting them from within.

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How did Greek art reflect the idea of an ideal form? A. through monumental and distorted forms in sculpture B. through symmetry and graceful geometry in architecture C. through imbalance and complex geometry in architecture D. through unfinished and dreamlike forms in sculpture

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I believe the answer is: B. through symmetry and graceful geometry in architecture

This perception of ideal form could be seen on how the greek artists made their human sculptures. The sculptures would always depict humans in an extremely fit, chiseled, and ideal body forms.  The incredible symmetrical form could also be seen in how the greek artists design their communal building such as town hall or Altar.

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The Art Deco movement had a major effect on which of the following in the 1920s? A. literature B. music C. architecture D. painting E. dance

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The Art Deco movement had a major effect on which of the following in the 1920s? A. literature B. music C. architecture D. painting E. dance

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__________ is the art and science of taking and reproducing motion pictures. A. Film B. Shot composition C. Cinematography D. The three-point system

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__________ is the art and science of taking and reproducing motion pictures. A. Film B. Shot composition C. Cinematography D. The three-point system

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Which list represents the steps for analyzing visual art? view, conclude, critique, create view, focus, conclude, relate view, focus, observe, conclude view, conclude, relate, critique

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The list that  represents the steps for analyzing visual art is: 
view, focus, observe, conclude.

View: Getting the first quick look on the art

Focus: Pay attention to smaller details on the art

Observe: Tried to find out the connection between every objects inside the art

Conclude: Determine the message that the artist want to give through the art

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How does art influence your life?

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Answered by answersmine AT 22/10/2019 – 03:36 AM

Art let’s me reflect and influence my mind and things that would come to me that I can create on paper. Art is a self reflective prosperity that changes and forms someone’s and something’s identity to make and create your own meaning, that’s what I love about art.

Post your answer

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Identify the Spanish artist who became a court painter and created a work of art known as Las Meninas, which portrayed the daughter of the royal family.

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Answer:

Diego Velázquez

Explanation:

Las Meninas is an oil painting by Spanish painter painted in 1656. This painting hangs in the Spanish national art museum Madrid, Spain. This painting shows scenes behind the Spanish court, the centre attention of this painting is the Infanta Margarita stands in the centre, she is accompanied by her Meninas (ladies-in-waiting), two dwarfs, a dog, a mirror that shows the upper bodies of the king and queen also the painter himself in this painting.

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