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 ñ 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
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Packt Publishing
Tech Knowledge in Motion
Rating Distribution
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- 2 stars: 0 votes
- 3 stars: 1 votes
- 4 stars: 2 votes
- 5 stars: 5 votes
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
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