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Python is an extremely simple and straightforward programming language which gives it a significant advantage in training and development. It is versatile and widely used in web development, data analysis, artificial intelligence, etc., also in the fields of scientific computing and machine learning.
Python, as an interpreted language, explains and runs every code one by one and does not compile it ahead. This uniqueness expedites development processes and helps in the identification to track bugs easily. The simple and easy methodology of Python has made it so demanding among programmers nowadays. Having said that, let us look at the best ways to master Python in 15 days.
One of the best ways to master Python is to start with its basics and elemental structure. This covers an in-depth exploration of the language's main features, the abundance of uses it has, and its nature. Additionally, get familiar with the installation procedure and its configuration to set the runtime path to execute Python programs. The best way to start with the basics of your Python program is to know the basic syntax and sequence flow since the whole program depends on these things.
On the other hand, it is also recommended that you consider going through IDEs like PyCharm, Jupyter, and several others, as it would help beef up your overall development experienc.
The second step you need to take into consideration is learning about the operators, data types, and variables of Python Programming Language. Delve deep into different data types of Python such as integers, floats, strings and booleans along with acquiring knowledge on operators such as arithmetic, comparison and logic.
After you have an understanding of the main idea of Python like variables and operators, it's now time to learn Python's conditional and control statements further. The grasp of Python's program flow control comprehends the knowledge of elements, such as for loops, while loops, and do-while loops. Further, conditionals including if, if-else and else if statements are essential in order to understand the subject completely. Besides, you can go hard on statements for control like break, continue, and passing, and that will make you a more professional Python programmer.
Once you have covered precedent topics, the following stages of Python mastery require comprehension of string, list, and dictionary manipulations. In Python, a dictionary is understood as an unarranged group of units in which each set possesses a pair key/value. The same way a string in python is any sequence of bytes on the Unicode characters, while the list is an ordered data collection mutable thing. However, expand your knowledge further by investigating other additional topics like tuples, sets and so on to fortify your Python ability.
Get the crucial skills for working and learning from outside data. Encounter basic data extraction techniques from different files, organize data into files, and learn how to properly handle file systems.
Know the basics of exception handling so that you can effectively handle unwanted situations that your program may get into. By applying try-except block you will implement error handling, therefore, your programs will crash with a warning instead of interrupting abruptly.
To have a complete picture of Python, it is paramount to investigate the different tasks of handling files, including reading and writing them, opening and closing those files, and processing the content line by line. Study well the main operating functions for example open(), split(), append(). Kindly note other functions that may be relevant to your operations here.
Moreover, part of the Python programming language comprehension – functions and modules – should be well understood too. Get acquainted with the different types of Python functions, as they are covered by function signatures, function definitions, and functions with arguments. Also, discover Python modules, which are external files where Python code editor will put all the Python definitions and statements. Additionally, I have a thorough knowledge of other significant topics like Python closures, packages, lambda functions, and so on.
Meanwhile, a cardinal phase of your Python without any doubt is always object-oriented programming (OOP). It is very important that you understand the object-oriented notion of Python and how to employ objects, classes, and instances. Climb down to the roots of Object Oriented Programming by going through major topics like inheritance, polymorphism, and encapsulation to have a benchmark in the language. Moreover, delve into the fundamental data editing, object printing, constructors, and destructors in Python, among others, so as to get a more comprehensive learning.
After you have explored what we have mentioned above, you'll be ready to move on to study more advanced and fundamental Python topics such as regular expressions and exception handling. On exception handling, it would be great to cover the comprehensive issues about errors and exceptions in Python programming, user-defined exceptions, python try-except blocks and inbuilt exceptions. As an extra, ensure that you understand regular expressions Python, as they are the type of mixtures of the characters that form the search patterns. Now, coming to supplementary topics which are very important for the advanced level of the Python programming, like database interaction which is the most common thing while dealing with Python programming.
Furthermore, you should study some advanced topics, such as multithreading, the Python CGI, and so on. The multithreading in Python comprises aspects such as the Thread Control Block which interacts with multitasking threads, forks, and synchronizing threads. On the contrary, the CGI-Python way of coding is just a set of rules that can be used to provide the web server and the browser with a way of communicating dynamically. Although you may be proficient with basic Python already, it will be also helpful to dig deeper into the other essential topics such as Python collections in order to boost your skills.
Work on database access and SQL usage via Python, being able to read data from DBs, run queries, manage data retrieval, modification, and deletion. Uncover the vital skill of web scraping, which will be the ability to extract and edit data from the Web with the help of libraries like BeautifulSoup and Selenium within Python.
You can also dig deeper into Python's data analysis, to learn about basic data manipulation and visualization, and very useful libraries such as NumPy and Pandas, which are, along with the functionality, fast enough.
Adding APIs into your projects in Python and using appropriate libraries like requests for HTTP requests and interaction with the web APIs is also an important part of learning more about Python.
You can get the ability to control and use Python language well if you are zealous in following the pathway provided. With the perfect grip on the concepts and by following the Best ways to master Python as mentioned above, you can easily be a pro on Python Programming Language and get a knack for it in no time.
