Python is one of the most famous programming languages today. With the accumulation of data and the increasing complexity of the web, Python has become an important part of computer development. This programming language is used in many industries for various operations.
Python is one of the most famous programming languages today. With the accumulation of data and the increasing complexity of the web, Python has become an important part of computer development. This programming language is used in many industries for various operations. It is not surprising that Python has overtaken Java as the most popular web programming language today. It has many advantages. It is a language that anyone who wants to pursue a career in web development and data science should master. Jedha explains here why it is important to train as a Python developer.
What is Python?
Python is a high-level object-oriented programming language created in 1991 by Guido van Rossum. It is used to represent real elements in virtual form. It features dynamic semantics and an integrated data structure. The programming language supports several paradigms, including functional programming, object-oriented programming (OOP) and database structures.
It also supports different packages and modules, which facilitates code reuse and program modularity. It is an open source language that is popular with application developers and even web developers. Python is very accessible for a beginner web developer, provided that he/she follows a suitable training. This computer language is mainly used for :
- the creation of web services,
- application programming,
- metaprogramming,
- code generation.
It is propelled to the forefront of data analysis, infrastructure management and application development. With Python, the web developer focuses more on what they do rather than how they do it. By coding with Python, the developer is freed from the time-consuming formatting constraints that were one of the main drawbacks with older languages.
Coding with Python is much faster for the developer than coding with any other computer language. Python is mainly used for automation and scripting. There are two versions of the programming language on the market, Python 2 and Python 3, which is the current version. It hasa concurrency check and a more efficient interpreter.
Why train in Python?
Why train in Python? Now there's a good question for many of you! Training to learn to code in Python offers many advantages for a novice or experienced web developer, a data scientist or a cybersecurity expert.
Increasing career opportunities
Considered one of the most popular programming languages today, Python offers many career opportunities for the developer who wishes to learn. Many companies use this computer language to code their websites or applications. Year after year, there is an increasing demand for developers. Taking a Python training course helps the developer to broaden their skills and increase their value on the job market. He benefits from a certification in order to open up new horizons.
Join a large developer community
The syntax of Python is simple. The programming language is easy to understand and to learn. Moreover, the codes used in Python are less cumbersome. This is why it is one of the top 3 choices for computer languages today. Python also represents a strong and active community that supports the developer in case of problems with the software or programming errors.
The developer will only have to post questions on the community forums to get many answers from more experienced coders. Python training provides the developer with certification in the field and a wider professional network.
A career in data science
Python is known to be an intuitive, scalable and powerful language. It offers extensive graphing and visualisation options. Python makes it easy to manage and manipulate large data. Some of its features support the processing of multiple information in an automated way. Python helps the developer to model data.
This makes it one of the most widely used languages in data science and artificial intelligence. It supports several popular libraries. Taking an introductory course in Python with a team of experienced trainers is essential for any developer considering a career in this fast-growing sector. This provides certification in data science and machine learning.
Increase your web development skills
Because of its simple syntax and support for a large number of machine learning libraries, Python is popular in the field of machine learning. In web development, this computer language facilitates access to a large collection of frameworks. In addition, code developed in Python is generally compatible with non-native platforms.
They can be integrated with C/C++ libraries, or with Java and .NET components. This is a real asset for the developer who works with several computer languages. Taking a Python training course with a professional team of trainers gives the developer the necessary skills and certification to build web applications more easily.
Our Courses
There are many courses online today to learn to code in Python. The courses offered by Jedha are highly recommended for mastering this computer language. These are mainly educational training modules in data science, data analysis, data engineering and cyber security with a documented introduction to Python. Practice is important to master the use of a programming language like Python.
The pedagogical training modules offered by Jedha consist of 70% practice and 30% theory. The courses are delivered by a team of professional trainers. A more hands-on approach to training helps to build up a maximum of skills in a short period of time. With live coding, independent projects and regular exercises, Jedha's training is ideal for learning Python. The training modules have been specifically designed to allow the developer to quickly become proficient, regardless of their initial level.
Thanks to a training program with excellent pedagogical content, the developer immerses himself in the world of Data. They start by learning how to code, and then go on to create their first algorithms. After a while, the developer will be able to carry out a complete project. This pedagogical training provided by a team of experienced trainers focuses on several data-related concepts, with an introduction to Python. Jedha's training courses are among the best Python courses in France. The team is efficient and experienced. The training will help the developer open up to new horizons and even set up his own AI startup.
The Data training modules offered by Jedha are suitable for any learner who wants to make a career in web development. These courses follow a well-defined pedagogical plan. Jedha's team of trainers have the expertise to provide the developer with the best education and certification to carry out standalone projects with Python.
Known applications made in Python
Many applications and websites have been built using Python. Most of today's fast-growing technical companies choose to use Python for the back-end of their website.
The designers of this online photo and video sharing application have opted for Python for their back-end. The engineers are currently preparing a huge deployment of the Django web framework, which is written entirely in Python.
Spotify
Launched in 2008, the Spotify application is built in Python while its website is in WordPress. The application's back-end contains interdependent services written in Python.
Netflix
The developers of the streaming platform opted for Python because of its succinct syntax, standard library and large developer community.
Dropbox
Dropbox has grown from 2000 to 200 million users thanks to Python. The server's engineers use the computer language for all their tasks.
The basics
Learn them Python basics here! To run a program in Python, you need an interpreter. This is a program that translates the Python instructions written by the developer into machine language. Python is therefore an interpreted language. It has two main modes of use: interactive mode and script mode.
The former is used for encoding expressions one by one. In script mode, the program instructions must first be written to a text file and saved on the computer. Like any programming language in computing, Python has frameworks, libraries, moulds and packages.
The frameworks
A Python web framework web framework is a set of modules or packages that help developers create web services or applications. It provides the basic infrastructure for developing Python applications. Thanks to the Python framework, developers no longer need to manage low-level details such as process/thread management, sockets or protocols. The Python web framework supports developers with :
- interpretation of requests (management of cookies and sessions, obtaining parameters),
- the production of answers (presenting data in HTML),
- data storage.
When you think of a Python framework, the first term that comes to mind is Django. It is one of the most widely used web frameworks. It allows you to create web applications quickly with less code. Its main focus is on automation. Originally designed for content management, Django is now used for the development of many web applications. This framework provides a web server for the development of web applications.
The algorithm
The algorithms in Python can be defined as a set of instructions executed to get a solution to a problem. Algorithms can be implemented in several programming languages. Writing algorithms in Python is not guided by any standard rules. It depends much more on the problem and the resources. In Python, there are different types of algorithms:
- tree traversal algorithms,
- sorting algorithms,
- search algorithms,
- graph algorithms.
These algorithms are also used in other languages. There are algorithms for inserting elements into a data structure. The instructions given in the algorithms must be clear and unambiguous.
The libraries
A Python library is a collection of code compiled for later use in a program. The Python library contains modules, configuration data messages, values and classes. It is a collection of associated modules containing packages of reusable code. Libraries make programming easier for the developer. They eliminate the need to write certain codes, since they already exist. Python libraries are widely used in machine learning, artificial intelligence, data visualization and data science.
Python has a standard library that is highly valued by developers for application design. This standard Python library contains the exact Python tokens, semantics and advanced syntax. There are also built-in modules to facilitate access to basic functionality such as I/O. The standard Python library contains nearly 200 modules. Among the best-known Python libraries are TensorFlow, Pandas, Matplotlib and Numpy.
Difference between module and package
A module is a Python file containing a definition and instructions. It makes code easier to manage and facilitates its reusability. The developer no longer needs to rewrite the same code several times for new projects. The package can be defined as a large directory of modules. Python offers built-in packages like Python Package Index (PyPI) that can be used for different projects. The module contains the Python code while the package contains modules and sub-packages.
OOP in Python
Object-oriented programming is a paradigm that groups associated behaviours and properties into individual objects. In Python, an object can thus represent a character with properties such as address, age, name and behaviours (running, breathing, talking, walking). OOP in Python helps the developer to model concrete real-world things.
Objects are therefore at the heart of the object-oriented programming in Python. They represent the data and the overall structure of the program. There is also procedural programming in Python which provides steps in the form of blocks of code or functions. Following an adapted training allows to better master the OOP in Python.
Anaconda
With over 6 million users, it is a popular tool for web and application developers. It is an open source Python distribution designed for data science and machine learning. It comes with a Conda environment manager. This package helps the developer to isolate projects that use different versions of Python. It aims to simplify deployment and package management.
Anaconda also comes with the most widely used data science packages in Python. Anaconda offers the developer the possibility of working directly with already available data. Using Conda for package and environment management helps the developer to reduce future problems linked to the libraries to be used.
Python is one of the most popular programming languages today. It is the third most used programming language ahead of C++. It also holds a place of choice in data science and machine learning. It is an indispensable computer language that every web developer must master.
Jedha offers several certification courses in Data Engineering, Data Analysis, Cybersecurity Data Science for people wishing to learn Python. The courses are run by a team of experienced trainers, offering highly accessible educational content for both beginners and experienced developers. The student to have an authentic certification in the field of Data science. Jedha offers training modules with a highly flexible timetable. Students can take the course full-time or part-time, face-to-face or online, depending on their availability.
