Python for Everyday Life

Python for Everyday Life, available at $19.99, has an average rating of 3.45, with 84 lectures, based on 14 reviews, and has 133 subscribers.

You will learn about Automate the execution of lots of common everyday life tasks using Python Write Python code proficiently in a structured fashion Identify the boundaries of a coding problem and spot the best libraries to solve it Design and Implement a wide range of applications from simple stand-alone one-liner scripts to complex web applications depending on external services Manipulate efficiently and visualize data as a way to make informed decisions This course is ideal for individuals who are This course is for Python developers and users from all spheres of life who would want to get well versed with Python and use it to put their life on autopilot! It is particularly useful for This course is for Python developers and users from all spheres of life who would want to get well versed with Python and use it to put their life on autopilot!.

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Summary

Title: Python for Everyday Life

Price: $19.99

Average Rating: 3.45

Number of Lectures: 84

Number of Published Lectures: 84

Number of Curriculum Items: 84

Number of Published Curriculum Objects: 84

Original Price: $109.99

Quality Status: approved

Status: Live

What You Will Learn

Automate the execution of lots of common everyday life tasks using Python
Write Python code proficiently in a structured fashion
Identify the boundaries of a coding problem and spot the best libraries to solve it
Design and Implement a wide range of applications from simple stand-alone one-liner scripts to complex web applications depending on external services
Manipulate efficiently and visualize data as a way to make informed decisions

Who Should Attend

This course is for Python developers and users from all spheres of life who would want to get well versed with Python and use it to put their life on autopilot!

Target Audiences

This course is for Python developers and users from all spheres of life who would want to get well versed with Python and use it to put their life on autopilot!

Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python’s elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms.

This video course is about leveraging the Python programming language and its thriving ecosystem to save yourself time and money when doing common routine tasks. Nobody wants to do boring and time-consuming tasks: days have 24 hours and you should squeeze out the most of this time for yourself – automating the boring tasks gives you back time to focus on what you really like to do. Moreover, this is also the chance for you to learn a great general-purpose language such as Python, with which you can build very cool applications both at work and in your spare time.

The course is structured as an incremental learning path: you will start with a deep-dive into Python software development basics, then move on to write scripts to automate file system operations and file contents processing on your local host, then you will learn how to interact with web-based services such as websites and APIs in order to robotize the cool things that we do everyday – such as tweeting, posting to social networks, reading RSS feeds, etc. – moreover you will practice how to set up a web-based services yourself in the form of web applications and in the end you will learn how to analyze and visualize datasets in order to extract knowledge.

By the end of this course you will have learned how to proficiently write structured Python code in a wide range of applications – from one-liner scripts to complex web applications – aiming at the automation of lots of common everyday life tasks.

About the Author

Claudio Sparpaglione holds an MD in Computer Engineering from Università degli studi di Pavia, Italy, achieved in 2007. He later worked as software engineer and architect in various industries (Geospatial Application Systems development and integration, Web and Mobile Advertising, Telecommunications, Fashion Brand Protection).Claudio worked in London in 2014 for a UK start-up as a software engineer and in 2015 became CTO of an Italian start-up. He currently works for the largest Italian bank as application engineer and deals with innovation topics.

Claudio is a Pythonista with exposure to other languages (JavaScript, Java, and PHP). He’s passionate about the design and implementation of highly-scalable web systems and APIs, about cloud, mobile and scientific computing, and he’s fascinated by cryptocurrencies.

Claudio is a Linux advocate and an active contributor to the open source software community: he’s the maintainer of the PyOWM Python project and contributes to projects such as Requests and Reactive Manifesto.

Course Curriculum

Chapter 1: Programmers Tooling

Lecture 1: The Course Overview

Lecture 2: The Benefits of Using Proper Programmer Tools

Lecture 3: Installing and Configuring PyCharm

Lecture 4: Keep Your Work Warm (and Safe) Using Git

Lecture 5: Setup of a Sample Python Project

Chapter 2: Finding the Right Tool for the Job

Lecture 1: Libraries: Never Reinvent the Wheel

Lecture 2: The Python Standard Library

Lecture 3: Searching for the Right Library to Do the Job

Lecture 4: Using Pip to Install Libraries

Lecture 5: Using Virtualenv to Isolate Environments

Chapter 3: Advanced Python Topics

Lecture 1: Logging

Lecture 2: Regular Expressions

Lecture 3: Function Decorators and Context Managers

Lecture 4: Generator Expressions and Generators

Lecture 5: Magic Methods

Lecture 6: Metaprogramming

Lecture 7: Functional Programming

Lecture 8: Pythonic Code Idioms

Chapter 4: Manipulate Files and Folders

Lecture 1: Walking and Filtering Folder Contents

Lecture 2: Renaming Files and Folders Based on Regular Expressions

Lecture 3: Detecting File Modifications Using Diffs and Hashes

Lecture 4: Compressing and Decompressing Files

Lecture 5: Encrypting Files with PyCryptodome

Chapter 5: Handle Common File Formats

Lecture 1: Reading and Writing Files

Lecture 2: CSV

Lecture 3: XML

Lecture 4: JSON and YAML

Lecture 5: Word DOCX

Lecture 6: Excel XLSX

Lecture 7: PDF

Chapter 6: Processing Images

Lecture 1: Reading and Showing Images with Pillow

Lecture 2: Cropping and Resizing Images

Lecture 3: Basic Image Filtering

Lecture 4: Image Watermarking

Lecture 5: Taking a Screenshot

Lecture 6: Parsing QR Codes

Lecture 7: Recognizing Faces in Pictures

Chapter 7: Interacting with Websites

Lecture 1: Downloading Web Content to Your Local Host Using Requests

Lecture 2: Scraping Websites Content with Beautifulsoup

Lecture 3: Scripting Your Browser with Selenium

Chapter 8: The Power of APIs

Lecture 1: Working with APIs

Lecture 2: Learning How to Interact with httpbin Test Service

Lecture 3: Fetching Cryptocurrencies Market Prices from the Coinmarketcap API

Lecture 4: Retrieving Weather Forecasts from the OpenWeatherMap API with PyOWM Client

Chapter 9: Automate Common Internet Tasks

Lecture 1: Reading and Sending Emails with Gmail

Lecture 2: Tweeting a Positive Message to the World with Twithon

Lecture 3: Tracking all of Your Personal Notes Using the Evernote API

Lecture 4: Watching for Topics on the Python Reddit RSS Feed

Lecture 5: Using Firebase Cloud Messaging to Send a Push Notification to Your Android Apps

Lecture 6: Sending a Text SMS via Twilio with Twilio Client

Lecture 7: Backing Up on Dropbox Your Local Data Folders with Dropbox Client

Chapter 10: Anatomy of a Web Application

Lecture 1: Introduction to Web Applications

Lecture 2: Web Applications Fundamentals

Lecture 3: Using MVC Frameworks

Lecture 4: Meet Flask and Django

Chapter 11: Build a Simple Static Website Using Flask and Bootstrap

Lecture 1: Starting Up the Project

Lecture 2: Preparing the Static Pages

Lecture 3: Coding the Flask Views

Lecture 4: Creating a Protected Area and Handling User Authentication with a Credential For

Lecture 5: Testing the Website

Chapter 12: Python and Databases

Lecture 1: How a Database Works

Lecture 2: SQLite, a Python-Friendly Database

Lecture 3: Creating and Querying a Sample Dataset on SQLite

Lecture 4: Object-Relational Mappers: Mapping Database Tables to Objects

Lecture 5: Exploring a Simple Data Model Through the Django ORM

Chapter 13: Publish Your Curriculum Vitae as an API on Django

Lecture 1: Designing the Data Model

Lecture 2: Designing the API Endpoints

Lecture 3: Coding the Django Models and Setting Up the SQLite Database

Lecture 4: The Django Admin

Lecture 5: Coding the Django Views and Setting URL Routes

Lecture 6: Putting It All Together and Testing with HTTPie

Chapter 14: A Facebook Messenger Bot Based on Flask and Heroku

Lecture 1: Designing a Bot That Can Answer Questions About Cryptocurrency Prices

Lecture 2: Bot Behavior and Endpoints

Lecture 3: Deploy the Bot on Heroku

Lecture 4: Bind the Bot to a Facebook Page and Test It

Chapter 15: Datasets Manipulation and Visualization with Jupyter and Pandas

Lecture 1: Installing Jupyter and Managing a Notebook

Lecture 2: Pandas Data Structures

Lecture 3: Reading and Writing Datasets

Lecture 4: Cleaning and Manipulating Datasets

Lecture 5: Visualizing Datasets

Chapter 16: Getting Insights from Your Datasets

Lecture 1: Building a Cryptocurrency Prices Dataset

Lecture 2: Calculating Moving Averages of Crypto Prices

Lecture 3: Better Visualizations for Crypto Prices

Lecture 4: Revealing Trends in Crypto Market

Instructors

Packt Publishing
Tech Knowledge in Motion

Rating Distribution

1 stars: 3 votes
2 stars: 1 votes
3 stars: 3 votes
4 stars: 2 votes
5 stars: 5 votes

Frequently Asked Questions

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