Python is a powerful and easy to learn programming language. It features high-level data structures and allows a simple yet effective approach to object-oriented programming. It is therefore an ideal language not only for learning programming more easily but also for designing powerful software. However, to take full advantage of Python and its libraries , it is necessary to have a good understanding of the language and the associated tools. So we will tell you about different concepts of python training in Cameroon.
Why learn Python?
Python is first of all a language whose syntax is easier to assimilate compared to other languages. Which makes it an ideal choice for beginners. Python is used for almost all areas, namely: web development, video game development, mobile development, data science, software design, etc. But it’s not enough to just learn python to be able to do everything. For each area, there are technologies and libraries to learn.
The most used technologies for the python language
Python is a language with several frameworks and libraries that are used according to the needs of the programmer
Best Python Frameworks
Just as its name suggests in English, a framework is a working framework. A framework is therefore a work tool made up of libraries and conventions that make it possible to develop an application more quickly. It should be noted that the python language has two types of framework:
Complete frameworks
A complete framework is an all-in-one solution with libraries configured to work together seamlessly. It supports the development of back-end services, front-end interfaces and databases. A complete framework provides everything a developer needs to build an application.
Django
Django is a full-featured, free, open-source Python framework . It tries to include all necessary features by default, instead of offering them as separate libraries. With Django, you can create any web application, from a small-scale project to a complex website.
pyramid
Pyramid is an open-source Python-based web application and the second most popular framework. Its goal is to do as much as possible with a minimum of complexity. With Pyramid, a developer can decide the template language, build libraries, and database layer.
The microframeworks
They are lightweight frameworks that do not offer additional features and functionality, such as database abstraction layer, form validation, and specific tools and libraries. Developers using a microframework have to manually add a lot of code and additional requirements.
flask
Flask is a Python framemork that is suitable for small projects. It depends on Werkzeug’s WSGI toolkit and Jinja2 template. Flask’s goal is to help build a solid foundation of web applications .
Flask allows you to work on all projects when the appropriate extensions are installed. It’s kind of the default solution for a project that doesn’t fit Django. Lightweight and modular, Flask easily adapts to the needs of developers.
Unlike Django, Flask is a micro-framework, which means it only focuses on a few things and leaves the rest up to the developer.
Bottle
Bottle is a fast, simple, and lightweight WSGI web-based micro-framework for Python. It is distributed as a single file module and has no dependencies other than the Python standard library. It offers the following features:
- Routing: Function call mapping requests with clean and dynamic URL support.
- Models: Fast built-in model engine and support for mako, jinja2 and cheetah models.
- Utilities: Convenient access to form data, file uploads, cookies, headers, and other HTTP-related metadata.
- Server: Embedded and supported HTTP development server from paste, bjoern, gae, cherrypy or any other WSGI compatible HTTP server.
NB : It should be noted that there are several several python frameworks. It all depends on the compatibility of the framework and the programmer, as well as the nature of his project.
Python libraries
In Python language , a library is a set of functions, object classes and constants that allow you to work on a particular theme. There are many Python libraries , and that ‘s why it remains one of the most versatile languages and the most popular language.
Libraries for artificial intelligence
As a library in artificial intelligence we can note:
- TensorFlow : open-source library for numerical computation in which it uses data flow graphs.
- PyTorch : it is generally used for computer vision, natural language processing.
- Keras : The Keras API has been designed in a way to reduce developer actions and cognitive load while coding, which ensures a faster development process.
- Theano : Theano handles multiple computations keeping its performance high and allows reusing pieces of code for similar functions, reducing model development time.
- PyLearn2 : it gives the possibility to write PyLearn2 plugins using mathematical expressions.
Libraries for data science
Data science is one of the fields where python is widely used. We therefore note as a library:
- Panda : it makes it easy to manipulate data. To extract them from an excel, csv, txt file and from a web page
- Numpy : it is an essential library for performing numerical calculations with Python. It greatly facilitates the management of data tables with a large number of functions.
- Matpolib : This is a powerful tool for plotting graphs and visualizing data . Matpolib allows you to draw any kind of graph (circular diagram, pictogram, linear diagram, etc.).
- Scipy : Mainly used for scientific and engineering computing . Based on NumPy, it provides a collection of mathematical algorithms also allowing the optimization of arrays and the management of linear algebra.
Libraries for mobile apps and games
- Pygame : This is one of the oldest and most famous Python libraries for game development. Pygame is a collection of Python modules designed to develop amazing games.
- Kivy : It is a free and open source library for Python, useful for creating touch applications with a natural user interface.
- Arcade : The Arcade Library is a modern Python library for creating games with compelling graphics and sound.
- PyOpenGL : This is one of the most commonly used cross-platform libraries and a favorite among developers. You can run it on Windows, Mac, Linux, etc. PyOpenGL is a Python binding to OpenGL, created using the standard library.
Opportunities for python training in Cameroon
Python being a multidisciplinary language, several career choices are open to you after your training. Depending on the profession that the python developer would like to do, he should master:
- PyQt for GUIs
- Mathplotlib, Panda, Numpy for scientific calculations and data.
- The F2PY Python/Fortran interface generator, which converts Forfran code into Python modules and functions
- PyGame for games
- Kivy for mobile apps and games
- Django, the API that allows you to build a website
- Etc.
It should be noted that there is a panoply of Python libraries and frameworks so it is up to the developer to know in which area he would like to work. Thus, he will know which tool will be best suited to his project.
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