Five years later, van Rossum launched the CP4E initiative— Computer Programming for Everybody —with the aim to make programming more accessible and encourage basic knowledge of coding; thanks to its clean syntax, Python was able to play a principal role in this.
During this period, Perl was the popular scripting language. However, those developers who sought alternatives to Perl felt they found one in Python. Python 2. At the end of the following year, Python 2. Even though Python was an object-oriented language, it never competed with Java or other company-sponsored languages. Instead, its developers focused their efforts on developing the language and its community.
At this time, many programmers were interested in using Python as an alternate scripting language, or prototype language for their projects. With the proliferation of Java in the enterprise application development world, Python found niches in applications that managed data and infrastructure. And thanks to it being interoperable with other languages, even Java programmers started to use it for parts of their applications to increase their own productivity. In , Dropbox launched, and within a year, it had received funding, quickly becoming one of the biggest projects written entirely in Python.
By this time, many start-ups were using Python for various parts of their application development, but it had been slow to catch on as the language of choice for large-scale enterprises. The success of the Dropbox project changed that, propelling many technology managers in that world to consider Python more seriously. The following year, Python 3. Arguably one of the most important releases of Python to date and the one that pushed it into the limelight, it fixed some fundamental flaws in the language.
It also retained backwards compatibility with the 2. Python was also beginning to garner attention from the scientific community, particularly in neuroscience research, where it started to be used extensively. With the development of the library NumPy , Python started to be seen as an alternative to R, Matlab, and other scientific computing languages for research projects.
In the middle of s, there had been an exponential increase in the amount of data that companies stored, tracked, and managed. In addition, from onwards, social media companies such as Facebook, Instagram, YouTube, and Twitter had also become popular. Marketers were ecstatic at the large amounts of data suddenly available from social media, and start-ups were beginning to crop up everywhere to take advantage of it all, resulting in many B2B and B2C applications being developed in the start-up world during this time.
Due to the ease of use of Python, these young companies found it to be the most cost-effective solution for early development, leading it to become the language of choice for managing social-media data. Following the financial crisis, a tidal wave of automation took place in the financial world.
With increased regulatory scrutiny in place, large financial institutions needed to find ways to better manage their trading, risk management, operations, and sales workflows to alleviate systematic risk. Table of Contents. Save Article. Improve Article. Like Article. Previous History of Python.
Next Python Pandas dataframe. Recommended Articles. Python is an object-oriented language with high-level data structures, dynamic typing, and dynamic binding. Python has been around since , and has a very active user community.
Unlike Tcl, however, Python supports object-oriented programming. Python programmers can create classes, use multiple inheritance, define methods, overload operators, and so on.
Python's Strengths Syntactically, Python code looks like executable pseudo code. Often, the prototype is sufficiently functional and performs well enough to be delivered as the final product, saving considerable development time.
Python has a strong presence on the web. It is suitable for CGI programming on all platforms: Unix, Windows and Mac ; there are interfaces to all major commercial databases. Python supports multiple programming pattern, including object oriented, imperative and functional or procedural programming styles.
Python is a simple language. When you reading Python program feels almost like reading an algorithm or a pseudo-code. This pseudo-code nature of Python is one of its greatest strengths. It allows you to concentrate on the solution to the problem rather than very complex syntax.
Python is easy to learn and use. It is developer-friendly and high level programming language. Python has an extraordinarily simple syntax as already mentioned. Nowadys python is recommended for beginners to the programming because it is easy to figure out what code does when you read it.
Python is absolutely free.
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