Last updated 12/2018MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 4.44 GB | Duration: 12h 12m

A practical guide to creating your own unique program using modern Python!

What you'll learn

Run and execute Python both from the command line and from within the IDE.

Explore generators and itertools and get an introduction to creating your own functions classes and modules.

Create your own Django templates for your Python web API and learn to use template filters and tags.

Manage code quality in order to find potential errors early in the development cycle.

Explore the tools and formats to distribute packages, command-line, GUI and web applications.

Locate root causes by benchmarking and profiling your application.

Organize your code better using Object Oriented Programming.

Requirements

Basic knowledge of Python programming and its features will be useful.

Description

Over the years, Python has turned out to be a boon for developers and it is very powerful, can run everywhere, and offers flexibility! With the growing demand for full-stack developers, it is important to learn how you can combine the powers of Python with other libraries to create amazing applications. To further your software development career, you need to understand why and how Python executes your code so that you can create clean code that compiles in . This Course unleashes the power of Python's functionalities to create compelling applications!This comprehensive 4-in-1 course follows a step-by-step approach taking you through the tools of Modern Python to build your Python application from scratch! To b with, you’ll learn generators and itertools and get an introduction to creating your own functions classes and modules. Create your own Django templates for your Python web API and learn to use template filters and tags. Explore the tools and formats to distribute packages, command-line, GUI and web applications. Finally, you’ll tackle Python performance problems and speed up your apps with parallelism, concurrent execution, and OOP! Towards the end of this course, you'll learn Python like a professional to build REST APIs & powerful apps using modern Python!Contents and OverviewThis training program includes 4 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Getting Started with Modern Python, covers creating your own unique program using modern Python. In this course, you will start by setting up your development environment, including ing Python and setting up your IDE (PyCharm); you'll then be introduced to Python lists and list comprehensions. The course will then show you what a generator is and why you might want to use one. Further on, you will be introduced to functions and decorators, and see how you can use them. You will then learn how to create a very simple, single-file Python program, and how to execute it both from the command line and from within the IDE. You'll also get a very brief introduction to debugging. By the end of the course, you'll have learned how to manipulate strings, parsing and printing them.The second course, Building REST APIs with Python, covers building REST APIs with Python. With the growing demand for full-stack developers, it is important to learn how you can combine the powers of Python with other libraries to create amazing applications. Django has basic front-end support but we show how complex operations can be performed at the front-end. We show you how to unleash the power of Python's Rest API and other functionalities to create compelling applications powered by ReactJS. We will be using a production-level database such as Postgres. Delving into key aspects such as code reusability, deployment and maintaining your application, we discuss production server configuration and bundle technologies with Python to provide an end-to-end web development solution.The third course, Tips, Tricks, and Techniques for Python Application Development, covers building powerful & efficient applications with Python. The course starts by dealing with performance issues and learning how to tackle them in an application. Distributing an application with Python is not easy but you will learn ways to distribute applications developed using Python along with GUIs, web applications, and more. Further, you will learn to test your application at different levels and use modern software at the development stage. You will also learn to expand productivity using standard and third-party tools. Finally, you will learn to protect your code quality from potential errors and detect any problem at an early stage, to prevent any issues later. By the end, of course, you will have learned many tips and tricks while developing an application with Python; you'll excel at this and avoid encountering major problems as a developer. So, grab this course and take your applications to the next level!The fourth course, Troubleshooting Python Application Development, covers quick fixes for your Python application development problems. This course takes you through a structured journey of performance problems that your application is likely to encounter, and presents both the intuition and the solution to these issues. You'll get things done, without a lengthy detour into how Python is implemented or computational theory. Quickly detect which lines of code are causing problems, and fix them quickly without going through 300 pages of unnecessary detail.By the end of the course, you'll learn Python like a professional to build REST APIs & powerful apps using modern Python!About the AuthorsPaul Oliver is the Principal Software Architect at Vosaic. Vosaic helps its users unlock insights with the video for education and simulations. Vosaic is closely aligned with Hudl, which is the prr video platform for sports. Before taking on the role at Vosaic, he worked as a software developer and architect in the banking and criminal justice industries. Throughout his career, he's been passionate about building well-architected software solutions with the security of primary importance. He's architected several applications in the cloud using Microsoft Azure, Web Services, and Heroku. He received his BSc in Computer Eeering from the University of Nebraska-Lincoln and his Masters of Business Administration degree from Creighton University.Praveen Kumar Sreeram works as a Solution Architect at PennyWise Solutions (an Ogilvy and Mather Company). He has over 12 years' experience in the field of development, analysis, design, and delivery of applications of various technologies, including custom web development using ASP.NET and MVC to building mobile apps using the cross-platform technology Xamarin for domains such as insurance, telecom, and wireless expense management. He has twice been recognized as a Most Valuable Professional by one of the leading social community websites, CSharpCorner, for his contributions toward writing articles and helping community members, mostly on Microsoft Azure. He is highly focused on learning about technology. Omkar Dusane is a software developer based in Mumbai, India. He has designed and developed many software products for startups. He is a food enthusiast and a Node.js lover and was a senior Microsoft Student Partner who represented India at Microsoft Global Student Partner Summit in 2016. He is currently Product Eeer at Kennect Solutions Pvt. Ltd. Mumbai and is responsible for business execution and intelligence tools for various industries. He encourages serverless technologies and has an eye for scalability of new web technologies.

Overview

Section 1: Getting Started with Modern Python

Lecture 1 The Course Overview

Lecture 2 Setting Up Your Development Environment

Lecture 3 Writing Your First Python Program

Lecture 4 Writing Your Second Python Program

Lecture 5 Debugging Your Second Python Program

Lecture 6 Printing and Formatting Strings

Lecture 7 Parsing Simple Strings

Lecture 8 Working with the Re Module

Lecture 9 Working with Dates

Lecture 10 Ensuring Data Integrity and Security

Lecture 11 Working with Files, and File-like Interfaces

Lecture 12 Introduction to Lists and for Loops

Lecture 13 Working with List Comprehensions

Lecture 14 Filtering Data in List Comprehensions

Lecture 15 Some Problems with List Comprehensions

Lecture 16 Working with Generators

Lecture 17 Going to Infinity and Beyond with Itertools

Lecture 18 Introduction to Functions

Lecture 19 Various Concepts of Functions

Lecture 20 Exploring Function Decorators

Lecture 21 Document Code and Verify Code Correctness

Lecture 22 Classes, Modules – When and Why to Use Them?

Section 2: Building REST APIs with Python

Lecture 23 The Course Overview

Lecture 24 The Bigger Picture

Lecture 25 Your Development Environment

Lecture 26 Installing PostgreSQL

Lecture 27 Django Projects and Apps

Lecture 28 Using the Django Development Environment

Lecture 29 MVC and MVT Framework

Lecture 30 Creating and Working with Models

Lecture 31 Migrations and Database Queries

Lecture 32 Writing Our First View

Lecture 33 Routing and HTTP Methods

Lecture 34 Using Templates

Lecture 35 Testing

Lecture 36 Exploring RESTful APIs

Lecture 37 Writing a Simple Hello World API

Lecture 38 Exploring the DRF

Lecture 39 Serializing Models

Lecture 40 Refactoring Our API with the DRF

Lecture 41 Generic Django REST Framework Views

Lecture 42 Extra Viewset Actions and Routers

Lecture 43 Testing the API

Section 3: Tips, Tricks, and Techniques for Python Application Development

Lecture 44 The Course Overview

Lecture 45 Identifying Bottlenecks

Lecture 46 Speeding Up I/O-bound Tasks

Lecture 47 Speeding Up CPU-bound Tasks

Lecture 48 Move -critical Tasks to C/C Libraries

Lecture 49 Alternative Python Runs

Lecture 50 Setuptools

Lecture 51 Source Distribution and Wheels

Lecture 52 Standalone Executables

Lecture 53 Docker

Lecture 54 Unit Testing and Coverage

Lecture 55 Complex Tests and Coverage

Lecture 56 Python Test Driven Development

Lecture 57 Integration Testing

Lecture 58 Python Behavior Driven Development

Lecture 59 Managing Python Environments Efficiently

Lecture 60 Python Package Management

Lecture 61 Debugging and Navigating Python Bytecode

Lecture 62 Prototyping Using the Python Shell and Jupyter

Lecture 63 Linting

Lecture 64 Static Code Analysis

Lecture 65 Type Checking

Section 4: Troubleshooting Python Application Development

Lecture 66 The Course Overview

Lecture 67 Measuring Between Two Lines of Code with it

Lecture 68 Figuring out Where Is Spent with the Profile Module

Lecture 69 More Precise Tracking with cProfile

Lecture 70 Looking at Memory Consumption with memory_profiler

Lecture 71 Reduce Execution and Memory Consumption with __slots__

Lecture 72 Use Tuples Instead of Lists When Your Data Does Not Change

Lecture 73 Save on Memory Consumption with Generators Instead of Lists

Lecture 74 When to Use Lists Instead of Generators

Lecture 75 Leveraging Itertools to Create Generator Pipelines

Lecture 76 The Problem with Using Lists to Perform Vector Calculations

Lecture 77 Using NumPy’s Arrays for More Powerful Vector Representations

Lecture 78 Rewriting Our Problem with NumPy to Speed It up 40x

Lecture 79 Fast MapReduce with NumPy Broadcasting

Lecture 80 Optimize All Calculations in One Go with numexpr

Lecture 81 The Problem of Serially Executing Web Scraping Calls

Lecture 82 Simple Asynchronous Programming with coroutines and gevent

Lecture 83 Event-Driven Concurrency with Tornado

Lecture 84 Concurrency and Futures with asyncio

Lecture 85 Getting Started with Parallel Programming

Lecture 86 Doubling the Speed of Your List Processing with Tuples

Lecture 87 Easily Speed up a Group of Processes with Pool

Lecture 88 Stop Processes from Interfering with Each Other with Locks

Lecture 89 Logging What Happens When You Have Many Processes

Lecture 90 Stop Modifying the Wrong Object Instance with Correct Object Cloning

Lecture 91 Speed Up Your OOP with namedtuples

Lecture 92 Reduce Getters and Setters with Static Methods and Properties

Lecture 93 Comparing Two Different Objects

Lecture 94 Improve Readability with Abstract Base Classes in Python

Software & full-stack developers who want to learn Python and become Python developers by building fully functioning applications!

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