Learn Python in 3 Hours

Learn Python in 3 Hours, available at $44.99, has an average rating of 4.63, with 19 lectures, based on 8 reviews, and has 62 subscribers.

You will learn about Set up your own development environment on Windows to create Python applications Use special Python features to speed up list comprehensions and small functions Leverage the wide range of pre-made packages on PyPI Manage different projects with a myriad of dependencies Use classes and create objects with OOP using Python Use special Python techniques such as decorators and context managers Perform data science using scikit-learn, pandas, and matplotlib This course is ideal for individuals who are This course is for programmers at all experience levels who would like to transition into developing using Python. It is particularly useful for This course is for programmers at all experience levels who would like to transition into developing using Python.

Enroll now: Learn Python in 3 Hours

Summary

Title: Learn Python in 3 Hours

Price: $44.99

Average Rating: 4.63

Number of Lectures: 19

Number of Published Lectures: 19

Number of Curriculum Items: 19

Number of Published Curriculum Objects: 19

Original Price: $109.99

Quality Status: approved

Status: Live

What You Will Learn

Set up your own development environment on Windows to create Python applications

Use special Python features to speed up list comprehensions and small functions

Leverage the wide range of pre-made packages on PyPI

Manage different projects with a myriad of dependencies

Use classes and create objects with OOP using Python

Use special Python techniques such as decorators and context managers

Perform data science using scikit-learn, pandas, and matplotlib

Who Should Attend

This course is for programmers at all experience levels who would like to transition into developing using Python.

Target Audiences

This course is for programmers at all experience levels who would like to transition into developing using Python.

You are a programmer. You already know many languages, but Python isn’t one of them. Today, you need to get up-to-speed with Python in a short period of time, but your search has so far come up with disconnected, unrelated tutorials or guides.

Learn Python in 3 hours is a fast-paced, action-packed course that maximizes your time; it’s designed from the ground up to bring you from zero to hero in the shortest time. The course is based on many years of Python development experience in both large enterprises and nimble startups. In particular, the course’s hands-on and practical approach comes from the author’s experience in rapidly iterating and shipping products in a startup setting, where responsiveness and speed are key.

With Learn Python in 3 hours, you will be up-and-running with Python like you are with your other languages, proving your value and expertise to your team today, and building your CV and skillset for tomorrow.

About The Author

Colibri is a technology consultancy company founded in 2015 by James Cross and Ingrid Funie. The company works to help its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas like big data, data science, Machine Learning, and Cloud Computing. Over the past few years, they have worked with some of the world’s largest and most prestigious companies, including a tier 1 investment bank, a leading management consultancy group, and one of the world’s most popular soft drinks companies, helping all of them to better make sense of their data, and process it in more intelligent ways. The company lives by its motto: Data -> Intelligence -> Action.

Rudy Lai is the founder of QuantCopy, a sales acceleration startup using AI to write sales emails to prospects. By taking in leads from your pipelines, QuantCopy researches them online and generates sales emails from that data. It also has a suite of email automation tools to schedule, send, and track email performance—key analytics that all feed back into how our AI generates content.

Prior to founding QuantCopy, Rudy ran HighDimension.IO, a machine learning consultancy, where he experienced firsthand the frustrations of outbound sales and prospecting. As a founding partner, he helped startups and enterprises with HighDimension.IO’s Machine-Learning-as-a-Service, allowing them to scale up data expertise in the blink of an eye.
In the first part of his career, Rudy spent 5+ years in quantitative trading at leading investment banks such as Morgan Stanley. This valuable experience allowed him to witness the power of data, but also the pitfalls of automation using data science and machine learning. Quantitative trading was also a great platform from which to learn a lot about reinforcement learning and supervised learning topics in a commercial setting.?

Rudy holds a Computer Science degree from Imperial College London, where he was part of the Dean’s List, and received awards such as the Deutsche Bank Artificial Intelligence prize.

Course Curriculum

Chapter 1: First Steps in Python Development

Lecture 1: The Course Overview

Lecture 2: Introducing Your One-Stop-Shop Python IDE ? WinPython

Lecture 3: Writing Your First Hello World! Program in Python

Lecture 4: Using Functions, Lambdas, and List Comprehensions

Chapter 2: Managing Packages and Downloading New Ones in Python

Lecture 1: Downloading pip So That You Can Install New Packages

Lecture 2: Structuring Your Python Application with Classes and Modules

Lecture 3: Installing and Using pipenv to Manage Your Projects

Chapter 3: Learning Specific Python Coding Patterns

Lecture 1: Object-Oriented Programming, the Pythonic Way

Lecture 2: Help Your Functions Do More Using Decorators

Lecture 3: Wrap Up All Dynamic Resources with Context Managers

Chapter 4: Web Scraping and Data Mining with Python

Lecture 1: Create Your Own Crawlers with Scrapy

Lecture 2: Go Through News Articles with newspaper3k

Lecture 3: Digest RSS Feeds Using Feedparser

Chapter 5: Data Science and Machine Learning with Python

Lecture 1: Handle Your Big Datasets with NumPy and pandas

Lecture 2: Make Python Smarter with Machine Learning Using scikit-learn

Lecture 3: Visualizing Data in Charts and Graphs with matplotlib

Chapter 6: Websites and Web Applications Using Python

Lecture 1: Generate a Static Website with Markdown and Pelican

Lecture 2: Customizing Your Static Website with Jinja2 Templates

Lecture 3: Deploying Your First Web Server with Flask

Instructors

Packt Publishing
Tech Knowledge in Motion

Rating Distribution

1 stars: 0 votes

2 stars: 0 votes

3 stars: 1 votes

4 stars: 2 votes

5 stars: 5 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!