Even after several years of public requests for opening App Engine ports for PHP programmers Google hasnt done much for it. But as well as Ruby is working on App Engine with Java, so is PHP possible using Caucho's Quercus Java implementation. Combining AppEngine and Quercus is little tricky at the moment. Information is spread all over the net and often is not using the latest packages. Thats why you may find next easy steps welcome.
Youtube Link: https://youtu.be/d-KWz7euLlc
** Edureka Python Certification Training: https://www.edureka.co/data-science-python-certification-course **
This Edureka PPT on 'Robot Framework With Python' explains the various aspects of robot framework in python with a use case showing web testing using selenium library.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
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Facebook: https://www.facebook.com/edurekaIN/
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Kyiv Elixir Meetup 3.1 (3.11.2016)
We will learn how the Erlang virtual machine handles code loading, how OTP releases are generated and how to prepare a release in Elixir so that it can be upgraded on the fly, without stopping the running application.
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Video here: https://youtu.be/uQE5dAWPAPc
#kyivelixirmeetup #elixirmeetup
PHP Mega Meetup, Sep, 2020, Anti patterns in phpAhmed Abdou
PHP is one of the easiest programming languages to use ever and powers more than half of the internet.
With this ease of use, certain common patterns emerge that become harmful. This is especially true when your product or service is not expected to die soon. Some anti-patterns are coding, others are related to operating your service, especially with new docker stacks. We will go over some of the most common pitfalls with a focus on enterprise development.
Using the "pip" package manager for Odoo/OpenERP - Opendays 2014Daniel Reis
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OWASP OWTF, the Offensive (Web) Testing Framework, is an OWASP+PTES-focused try to unite great tools and make pen testing more efficient.OWASP OWTF, the Offensive (Web) Testing Framework, is an OWASP+PTES-focused try to unite great tools and make pen testing more efficient.
Even after several years of public requests for opening App Engine ports for PHP programmers Google hasnt done much for it. But as well as Ruby is working on App Engine with Java, so is PHP possible using Caucho's Quercus Java implementation. Combining AppEngine and Quercus is little tricky at the moment. Information is spread all over the net and often is not using the latest packages. Thats why you may find next easy steps welcome.
Youtube Link: https://youtu.be/d-KWz7euLlc
** Edureka Python Certification Training: https://www.edureka.co/data-science-python-certification-course **
This Edureka PPT on 'Robot Framework With Python' explains the various aspects of robot framework in python with a use case showing web testing using selenium library.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
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Video here: https://youtu.be/uQE5dAWPAPc
#kyivelixirmeetup #elixirmeetup
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Python is a high-level, general-purpose programming language that is quite popular. The Python programming language (the most recent version is Python 3) is utilised in web development, machine learning applications, and every other cutting-edge technologies in the software industry. Python is an excellent programming language for beginners as well as experienced programmers with other programming languages such as C++ and Java.
This Python lesson has been carefully developed to help you learn Python Programming Language in the most effective way possible, with subjects ranging from the basics to the advanced (such as web scraping, Django, Deep Learning, and so on) and examples.
The following are some interesting facts concerning the Python programming language:
Python is the most extensively used high-level programming language for a variety of purposes.
Python supports both Object-Oriented and Procedural programming paradigms.
Python applications are often smaller than those written in other programming languages such as Java. Programmers have to type relatively less and indentation requirement of the language, makes them readable all the time.
Python language is being used by almost all tech-giant companies like – Google, Amazon, Facebook, Instagram, Dropbox, Uber… etc.
Python Course in Delhi and its Applications.pptxromilathakur59
If you are someone looking for a Python Course for career building this is a blog that can provide a lot of help to you, since this blog talks of how can be step up their level of learning of Python, while also describing of what Python is in brief for the beginners.
Python is a versatile and widely-used high-level programming language known for its simplicity, readability, and extensive library support. Created by Guido van Rossum and first released in 1991, Python has since gained immense popularity across various domains, including web development, data science, scientific computing, artificial intelligence, and more. In this comprehensive description, we'll delve into Python's history, features, applications, and its vibrant community, highlighting why it continues to be a preferred choice for developers worldwide.
Table of Contents
Introduction to Python
Python's History and Evolution
Python's Key Features
3.1. Readability and Simplicity
3.2. High-level Language
3.3. Interpreted and Dynamic
3.4. Cross-platform Compatibility
3.5. Rich Standard Library
3.6. Community Support
Python's Application Domains
4.1. Web Development
4.2. Data Science and Machine Learning
4.3. Scientific Computing
4.4. Automation and Scripting
4.5. Game Development
4.6. Desktop Applications
Python Development Environments
5.1. IDLE
5.2. PyCharm
5.3. Jupyter Notebook
5.4. Visual Studio Code
Getting Started with Python
6.1. Installing Python
6.2. Your First Python Program
Python Syntax and Basic Concepts
7.1. Variables and Data Types
7.2. Conditional Statements
7.3. Loops
7.4. Functions
7.5. Exception Handling
Working with Python Libraries
8.1. NumPy
8.2. Pandas
8.3. Matplotlib
8.4. Scikit-Learn
Python and Web Development
9.1. Frameworks (Django, Flask)
9.2. Front-end Integration (HTML/CSS)
9.3. Database Interaction (SQL, NoSQL)
Python in Data Science
10.1. Data Analysis with Pandas
10.2. Data Visualization with Matplotlib and Seaborn
10.3. Machine Learning with Scikit-Learn
10.4. Deep Learning with TensorFlow and PyTorch
Scientific Computing with Python
11.1. Scientific Libraries (SciPy, SymPy)
11.2. Plotting and Visualization (Matplotlib)
Automation and Scripting
12.1. Automating Tasks
12.2. Scripting for System Administration
Game Development with Python
13.1. Pygame
13.2. Unity and Unreal Engine Integration
Desktop Applications with Python
14.1. Tkinter
14.2. PyQt
Python's Ecosystem and Package Management
Python Best Practices
16.1. Code Readability (PEP 8)
16.2. Documentation and Comments
16.3. Testing (Unit Testing, pytest)
16.4. Version Control (Git)
Python's Future and Trends
Conclusion
1. Introduction to Python
Python is a general-purpose, high-level programming language that was designed with a focus on code readability and simplicity. It uses an elegant and straightforward syntax that makes it easy for developers to express their ideas effectively, reducing the cost of program maintenance. Python's philosophy emphasizes the importance of code clarity and readability, which is encapsulated in the Zen of Python (PEP 20).
The language has gained immense popularity due to its versatility and a rich ecosystem of libraries and frameworks. Python is renowned for its vibrant community and extensive documentation, making it in p
This presentation educates you about Python and the reason for learning python, Key advantages of learning Python, Characteristics of Python, Hello World using Python syntax and Applications of Python.
For more topics stay tuned with Learnbay.
Certainly! Here's a detailed 3000-word description of Python:
# Python: A Comprehensive Overview
Python is a high-level, versatile, and dynamically-typed programming language known for its simplicity and readability. Created by Guido van Rossum in the late 1980s, Python has since become one of the most popular programming languages worldwide. In this comprehensive overview, we will delve into the key aspects of Python, from its history and design philosophy to its syntax, libraries, and real-world applications.
## **History and Evolution of Python**
Python's history dates back to December 1989 when Guido van Rossum, a Dutch programmer, began working on it as a side project during his Christmas holidays. His aim was to create a language that emphasized code readability and allowed developers to express their ideas in fewer lines of code compared to other languages like C++ or Perl.
The first official Python release, Python 0.9.0, was released in February 1991. Python's name was inspired by Guido's love for the British comedy group Monty Python. Despite its humorous origins, Python quickly gained popularity in the software development community.
Python's major versions include Python 1.0 (1994), Python 2.0 (2000), Python 3.0 (2008), and the subsequent 3.x releases. The transition from Python 2 to Python 3 was a significant milestone in Python's history, as it involved breaking compatibility with Python 2 to introduce improvements and address some language inconsistencies. Python 2 reached its end of life on January 1, 2020, and Python 3 is now the standard and recommended version for new projects.
## **Design Philosophy: The Zen of Python**
Python's success can be attributed, in part, to its clear and guiding design principles, often referred to as "The Zen of Python" or "PEP 20" (Python Enhancement Proposal 20). These principles encapsulate the language's philosophy and provide a framework for writing clean, readable, and maintainable code. Some notable principles from "The Zen of Python" include:
- **Readability Counts:** Code should be easy to read and understand. Python's syntax enforces this with its use of indentation for block structure.
- **Simple is Better Than Complex:** Python encourages simplicity in both code design and implementation. It favors straightforward solutions over convoluted ones.
- **Explicit is Better Than Implicit:** Code should be explicit and not rely on hidden or magical behavior. This principle promotes code clarity and predictability.
- **There Should Be One-- and Preferably Only One --Obvious Way to Do It:** Python aims to provide a single, clear way to perform a specific task to reduce confusion and make code more consistent.
- **Errors Should Never Pass Silently:** Python encourages robust error handling and reporting to help developers identify and fix issues promptly.
## **Python Syntax and Language Features**
Python's syntax is known for its simplicity and readability. Here are some key languag
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