Pro4ETP

Pro4ETP

This is not a beginner course - if you've been coding Python for a week or a couple of months, you probably should keep .> This is not a beginner course - if you've been coding Python for a week or a couple of months, you probably should keep writing Python for a bit more before tackling this series. On the other hand, if you're now starting to ask yourself questions like:

I wonder how this works

? is there another way of doing this? is that the same as a lambda? I know how to use a decorator someone else wrote, but how does it work? Can I write my own? why isn't this boolean expression returning a boolean value? what does an import actually do, and why am I getting side effects? and similar types of question...

then this course is for you. Please make sure you review the pre-requisites for this course (below) - although I give a brief refresh of basic concepts at the beginning of the course, those are concepts you should already be very comfortable with as you being this course. In this course series, I will give you a much more fundamental and deeper understanding of the Python language and the standard library. Python is called a "batteries-included" language for good reason - there is a ton of functionality in base Python that remains to be explored and studied. So this course is not about explaining my favorite 3rd party libraries - it's about Python, as a language, and the standard library. In particular this course is based on the canonical CPython. You will also need Jupyter Notebooks to view the downloadable fully-annotated Python notebooks. It's about helping you explore Python and answer questions you are asking yourself as you develop more and more with the language. In Python 3: Deep Dive (Part 1) we will take a much closer look at:

Variables - in particular that they are just symbols pointing to objects in memory

Namespaces and scope

Python's numeric types

Python boolean type - there's more to a simple or statement than you might think! Run-time vs compile-time and how that affects function defaults, decorators, importing modules, etc

Functions in general (including lambdas)

Functional programming techniques (such as map, reduce, filter, zip, etc)

Closures

Decorators

Imports, modules and packages

Tuples as data structures

Named tuples

To get the most out of this course, you should be prepared to pause the coding videos, and attempt to write code before I do! Sit back during the concept videos, but lean in for the code videos! Course Prerequisites

This is an intermediate to advanced Python course. To have the full benefit of this course you should be comfortable with the basic Python language including:

variables and simple types such as str , bool , int and float types

for and while loops

if...else... statements

using simple lists , tuples , dictionaries and sets

defining functions (using the def statement)

writing simple classes using the class keyword and the __init__ method, writing instance methods, creating basic properties using decorators

importing modules from the standard library (e.g. import math)



You should also:

have Python 3.6 (or higher) installed on your system

be able to write and run Python programs using either:

the command line, or

a favorite IDE (such as PyCharm),

have Jupyter Notebooks installed (which I use throughout this course so as to provide you fully annotated Python code samples)

Address

Addis Ababa

Website

Products

Welcome to the Complete Python Course!

***Fully updated for 2020*** The course covers every major Python topic (including Object-Oriented Programming, Web Scraping, and even GUI development), and now includes even more content...!

NEW CONTENT:

Control your browser using Selenium, to scrape websites or even fill in forms!

Learn to interact with REST APIs and build a currency exchange program

Create desktop GUIs using Tkinter, so your users can work with your applications very easily

Start working with unit testing in Python by learning about the unittest library

We've also completely re-recorded the course's introductory Python material... so it’s even clearer and more straightforward!



This course will take you from beginner to expert in Python, easily and smartly. We've crafted every piece of content to be concise and straightforward, while never leaving you confused. This course will dive right into Python and get you productive from the very beginning.

This is the best investment you can make in your Python journey.

Why Learn Python?

Over the last few years, Python has become more and more popular. Demand for Python is booming in the job market and it is a skill that can help you enter some of the most exciting industries, including data science, web applications, home automation and many more. Python is one of the "most loved” and “most wanted” programming languages according to recent industry surveys. If people are not using Python already, they want to start using Python.

This course will make it easy for you to learn Python and get ahead of your competition.

Why Choose THIS Course?

You will:

Get a broader and deeper experience in Python than with any other Udemy course on the market.

Start at zero and become an expert whilst learning all about the inner workings of Python.

Learn how to write professional Python code like a professional Python developer.

Develop a long-lasting love for Python and programming by creating good programming habits.

Explore the wider possibilities of what you can do with Python, including databases, web development and web scraping.

Become job-ready by learning about best practices, Selenium, unit testing, and all of the major Python topics.

Who Is This Course For?

Beginners who have never programmed before.

Programmers with experience in other languages who want to kickstart their Python programming.

Programmers who know some Python but want to round off their skills and become truly proficient.

What Am I Going to Get From This Course?

Lifetime access to over 250 lectures covering all aspects of Python, from the foundations to advanced concepts.

An interactive screencast video from every lecture AND complete, written notes and code for you to read and refer back to you as you progress through the course.

Milestone projects for you to complete throughout the course. These provide a challenge and an opportunity for you to apply what you've learned. We always go over the code after to show you how we would tackle them.

Guidance on common pitfalls and best practices including how to make your code "Pythonic" (looking like professional code), Object-Oriented Programming, database interactions, and more.

Quizzes and tests for you to check your understanding.

High-quality help and support. In the last year alone we've answered over 3000 student questions. We don’t leave a single question unanswered.

You'll have 30 days to change your mind and get your money back, with absolutely no questions asked AND you'll get to keep all the course notes and code as a thank you for trying the course out.

Don't Wait! Join the Course and Begin Coding in Python today!

Who this course is for:
Beginner programmers who want to get into one of the most popular and loved languages in the world
Programmers from other languages who want to kickstart their Python journey
Python programmers who want to refresh their skills and tackle advanced topics like algorithms and asynchronous programming

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