The Ultimate Complete Python Course from Scratch

Description

Technology is progressing day by day and we have developed an unconscious dependency on it. With every passing day, we require the need for a new invention. This behavior induces humans to study computers, understand the language, develop programs, discover their unique features and, invent new things. With the developing programs, there is a need for programming language. Programming language consists of a set of instructions to produce output. These languages are basically used to implement algorithms. There are various types of programming languages like Java, SQL, JavaScript, C++, Python, etc.

Today we are going to discuss Python programming language. Python is a general-purpose, high-level programming language with dynamic semantics and easy to learn syntax which is open for everyone to use. Python was made by a programmer named Guido Van Rossum in 1991. It got inspiration from other programming languages; however, it is convenient to use than any other programming language which makes learning feasible for beginners. Python is designed with code readability as its major priority. This allows the program to define its concepts in fewer lines. Its unique framework allows you to work speedily and efficiently.

Reasons to choose Python?

1. Readable code

Python has its major emphasis on code readability. The learnable syntax allows the program to write concepts without adding additional codes. Even if you are not a trained programmer, you can begin to start working on it. Practice and patience can lead you to become skillful. It is also easy to work in large development teams. Its readability allows you to work quickly without putting in the extra effort.

2. Machine learning

Due to using its readability, applications written in other languages require easy to use scripting. Therefore, Python is considered a perfect choice for machine learning.

3. Open-source

Python is an open-source programing language. Due to this feature, it has huge support as numerous people are working with the language on a regular basis. Being an open-source also benefits in cutting the cost significantly. There are several Python frameworks and tools that help in decreasing development time without increasing its cost. You can choose the tool according to your requirement.

4. Web development

Python makes web development a lot easier and faster. A lot of websites are made based on the frameworks of Python e.g. Instagram, Pinterest, etc. This technology is designed for data visualization and data analysis. You can process data with the help of Python without putting in a lot of time and effort.

5. Productive coding environment

This technology provides a more productive coding environment than any other programming language. Skilled coders and programmers are more organized and efficient while working with Python.

6. Beneficial in artificial intelligence

Artificial intelligence is a massive development, it is designed to make the machines mimic the human brain that is capable of analyzing and making decisions. Python is used widely in artificial science for example, for image and vision recognition.

7. Popular

Python has a well-defined career that is highly demanded in the industry today. The programmers can pursue their careers in a programming language as it is one of the most popular and highly-paid careers in the world. According to pay websites, a Python developer earns $76,526 on average per year, ranging from $58,000 to $107,000.

Applications of Python

Web applications

Python is used to develop web applications. It provides libraries to deal with internet protocols such as HTML, XML, JSON, etc. it consists of frameworks and tools such as Pyramid, Flask, etc. to develop web designs.

Software development

It is used in software development by being a support language. It proves to be useful to build control, testing, etc.

Business applications

It has a huge rule in the field of business. This technology is used to build business models. They use it to build apps, analyze data, and create reliable applications.

Graphics applications

Python is an efficient programming language and is capable of creating user-friendly, unique, and creative UI designs.

Numeric and scientific applications

It can also build numeric and scientific applications on the basis of algorithms, logic, and Python’s frameworks and tools. Astropy, Pandas, and BioPython are some of the most popular scientific libraries.

Images

The technology is extremely beneficial in building web applications that can read images and edit them. Applications such as VPython, imgSeek are built using Python.

Advantages and disadvantages of Python

Before learning a new language it’s better to be aware of all of its advantages and disadvantages. Python has a couple of both, but let’s discuss the pros first.

· Easy to learn

Python is highly recommendable to beginners because of its easy to learn nature. Its syntax is much more similar to English which is why it’s very easy to use and does not require additional codes to express the concepts.

· Increases productivity

This is an extremely efficient technology as due to this; the programmers do not have to focus on understanding the code, and can directly solve the problem. As there is less code to input, there is less work to do.

· Dynamic

As soon as we run the code, Python detects the variables. The programmer does not have to deal with assigning the variables and their data types as the program is automatically designed to do so.

· Interpreted language

Python is an interpreted language; therefore, it can execute the codes. In case of any error, it stops the execution and reports the occurred error.

· Open source

Python has an open-source license. This allows the program to be downloaded, modified, and distributed all for free. This proves to be significant for the organizations as they can change the software according to their requirement and then use it as they suffice.

· Extensive

This technology is applied widely all over. It is vastly used by scientists, engineers, and mathematicians. It is used in most of the industries that require machine learning, data analyzing, data science, prototyping, etc.

· Vast support

Python’s standard library is massive and includes all the functions you might need. The rest can be imported from the Python package index. It consists of more than 200,000 packages.

Disadvantages are as follows:

· Slow speed

As discussed before, Python is designed to execute the code line by line automatically. This makes the program to run slowly. Its dynamic feature also leads to slow speed. Therefore, Python can not be used where speed is an important factor.

· Unsuitable for mobile development

Python is not suitable for game development or mobile development as few mobile applications are built using Python. Weak memory efficiency is another cause of this disadvantage.

· Runtime error

It is designed in a way that does not require the programmer to define the variables. During this time, several bugs may occur and the program shows only one bug at a time. The programmer has to keep running additional tests in order to prevent errors during runtime.

· Less memory efficient

This program uses a large amount of memory which can become a hindrance in building web applications that require memory optimization.

· Database access

The program is easy to use and user-friendly but it does not work the same way when it comes to the database. The enterprises need good interaction with complex data and Python is not advanced in such a way and thus, is not used in large enterprises.

Python vs C++

Python and C++ are one of the top two programming languages. Python is easier and more user-friendly, while C++ is far more complex. Python imitates English while C++ has a lot of syntax rules which makes Python easy for beginners to work on. Python is the best option to be considered for data science and machine learning while C++ is great for game development. The language used in Python is dynamically typed and is high-level while the latter has a statistically typed language which is more low-level. The former type has a small-sized code which makes rapid prototyping easier while the latter has a large-sized code and does not support rapid prototyping.

Python vs JavaScript

Differentiating between the two most popular languages, Python is much easier to read and learn due to its approachable syntax. JavaScript is quite a complex language in comparison. JavaScript has more capacity to handle multiple users than Python. Instagram and YouTube are popular examples of applications built on Python. In the future, fields like AI, ML, and data science are going to be more in demand and all of these fields have extensive use of Python which makes it more versatile than JavaScript. JavaScript is faster out of the two which makes it more performance-oriented. Moreover, Python is more of a scripting language while the latter is a web programming language. Former has a wider standard library while the latter is quite limited.

All the programming languages have made their place in the technology world and each one of them has played their role in advancing the use and benefits of it. A lot of social media and web applications are based on these. The past has proven to be very useful that mad ways for new languages to enter with more benefits and applications which present a different future. If we look at the future of the popularity of these programming languages, then several platforms predict with reasonable statistics and facts that Python will continue to gain popularity in the coming years. Java will gain some popularity and then remain constant. JavaScript, C#, and C++ will lose popularity significantly.

Conclusion

Python is a widely used language in several fields. It is extremely beneficial and recommendable for learning for beginners. Python provides various decent career opportunities and a promising future. Viewing its pros and cons, it is logical to state that it is wise to pursue.
Who this course is for:

Students who want to learn Python
Students who are starting into Programming
Students who want to learn Python from Scratch
Students who want to Master Python

Requirements

No

Last Updated 5/2021