Python in a Nutshell: Everything That You Need to Know

Python is one of the best known high-level programming languages in the world, like Java. It’s steadily gaining traction among programmers because it’s easy to integrate with other technologies and offers more stability and higher coding productivity, especially when it comes to mass projects with volatile requirements. If you’re considering learning an object-oriented programming language, consider starting with Python.

A Brief Background On Python 

It was first created in 1991 by Guido Van Rossum, who eventually wants Python to be as understandable and clear as English. It’s open source, so anyone can contribute to, and learn from it. Aside from supporting object-oriented programming and imperative and functional programming, it also made a strong case for readable code. Python is hence, a multi-paradigm high-level programming language that is also structure supportive and offers meta-programming and logic-programming as well as ‘magic methods’.

More Features Of Python

• Readability is a key factor in Python, limiting code blocks by using white space instead, for a clearer, less crowded appearance
• Python uses white space to communicate the beginning and end of blocks of code, as well as ‘duck typing’ or strong typing
• Programs are small and run quicker
• Python requires less code to create a program but is slow in execution
• Relative to Java, it’s easier to read and understand. It’s also more user-friendly and has a more intuitive coding style
• It compiles native bytecode

What It’s Used For, And By Whom

Unsurprisingly, Python is now one of the top five most popular programming languages in the world. It’s helping professionals solve an array of technical, as well as business problems. For example, every day in the USA, over 36,000 weather forecasts are issued in more than 800 regions and cities. These forecasts are put in a database, compared to actual conditions encountered location-wise, and the results are then tabulated to improve the forecast models, the next time around. The programming language allowing them to collect, analyze, and report this data? Python!

• 40% of data scientists in a survey taken by industry analyst O’Reilly in 2013, reported using Python in their day-to-day work
• Companies like Google, NASA, and CERN use Python for a gamut of programming purposes, including data science
• It’s also used by Wikipedia, Google, and Yahoo!, among many others
• YouTube, Instagram, Quora, and Dropbox are among the many apps we use every day, that use Python
• Python has been used by digital special effects house ILM, who has worked on the Star Wars and Marvel films

It’s often used as a ‘scripting language’ for web apps and can automate a specific progression of tasks, making it more efficient. That’s why it is used in the development of software applications, web pages, operating systems shells, and games. It’s also used in scientific and mathematical computing, as well as AI projects, 3D modelers and animation packages.

Is Python For You? 

Programming students find it relatively easy to pick up Python. It has an ever-expanding list of applications and is one of the hottest languages in the ICT world. Its functions can be executed with simpler commands and much less text than most other programming languages. That could explain its popularity amongst developers and coding students.

If you’re a professional or a student who wants to pursue a career in programming, web or app development, then you will definitely benefit from a Python training course. It would help if you have prior knowledge of basic programming concepts and object-oriented concepts. To help you understand how to approach Python better, let’s break up the learning process into three modules:

1. Elementary Python
   This is where you’ll learn syntax, keywords, loops data types, classes, exception handling, and functions.
2. Advanced Python
   In Advanced Python, you’ll learn multi-threading, database programming (MySQL/ MongoDB), synchronization techniques and socket programming.
3. Professional Python
   Professional Python involves knowing concepts like image processing, data analytics and the requisite libraries and packages, all of which are highly sophisticated and valued technologies.

With a firm resolve and determination, you can definitely get certified with Python course!

Some Tips To Keep In Mind While Learning Python

• Focus on grasping the fundamentals, such as object-oriented programming, variables, and control flow structures
• Learn to unit test Python applications and try out its strong integration and text processing capabilities
• Practice using Python’s object-oriented design and extensive support libraries and community to deliver projects and packages. Assignments aren’t necessarily restricted to the four-function calendar and check balancing programs. By using the Python library, programming students can work on realistic applications as they learn the fundamentals of coding and code reuse.