Python is an interpreted, object-oriented, and high-level programming language. It is particularly appealing for Rapid Application Development (RAD) as well as for usage as a scripting or glue language to connect existing components.
This is due to its high-level built-in data structures, dynamic typing, and dynamic binding. Before going deeper into the Python cheatsheet, let’s see what features Python has.
Features of Python
- Python is straightforward to learn since it has a defined syntax, few keywords, and a simple structure. The learner can swiftly pick up the language thanks to this.
- Python code is simpler to read since it is better defined and easier to see.
- The source code of Python is relatively simple to maintain.
- A large standard library that is particularly portable and compatible with Unix, Windows, and Macintosh platforms makes up the majority of Python’s library.
- Python features an interactive mode that enables testing and debugging of code snippets as they are being executed.
- Python is extremely portable and provides the same user interface across all hardware platforms.
Python Cheatsheet
1) Python Data Types
This is the list of data types present in the Python language:
Data type | Example |
| Integer | 1, 2, -9, 5, 0, 10, -15 |
| String | “abc”, “efgh”, “dAf34”, “567” |
| Boolean | It has only two values, true and false. |
| Floating-point Number | 200.0, -1.0, 3586.5 |
2) Python Arithmetic Operators
Mathematical operations including addition, subtraction, multiplication, and division are carried out using arithmetic operators in Python. Following are the arithmetic operators used in Python:
Arithmetic Operator | Description |
| + | Addition |
| – | Subtraction |
| * | Multiplication |
| / | It returns a float value. |
| // | It returns an integer value. |
| % | It returns the remainder of the division. |
| ** | It will calculate the exponentiation, i.e., a ** b = a to the power of b. |
Check out:
3) Python Comments
Comments are used to improve the readability of the code for programmers; neither the Python compiler nor the interpreter actually executes them.
Comments | Description |
| Single line comment | # This is a single-line comment |
| Multi-line comment | ”’This is a
multi-line comment”’ |
4) Conditional Statements
To specify conditions in your code, you use conditional statements. The following table gives out the syntax of the various conditional statements in Python:
Conditional Statement | Syntax | Example |
| if | If <condition>
Do action | var = “Bark”
if var == “Bark”: print(“The animal is a dog”) |
| if-elif | If <condition>
Do action Elif <condition2> Do other action | var = “Bark”
if var == “Bark”: print(“The animal is a dog”) elif var != “Mew”: print(“The animal is a cat”) |
| if-else | If <condition>
Do action Else Do other action | var = “Bark”
if var != “Bark”: print(“The animal is a dog”) else: print(“The animal is not a dog”) |
5) Loop Statements
There can be instances where you need to run a block of code repeatedly. Different control structures offered by programming languages enable more intricate execution routes.
We can run a statement or set of statements repeatedly by using a loop statement. Following are loops that can be used in the Python programming language:
Loop | Example | Output |
| While loop | i = 0
while i < 10: print(i) i += 1 | 0 1 2 3 4 5 6 7 8 9 |
| For loop | for i in range(1, 7):
print(i) for i in range(7): print(i) for i in range(1, 7, 2): print(i) | 1 2 3 4 5 6
0 1 2 3 4 5 6 1 3 5 |
6) Python List
A list of comma-separated values (items) enclosed in square brackets is one of the most flexible data types available in Python. The fact that a list’s components do not have to be of the same type is crucial. This is a generalized way of forming a list in python:
variable_name = [ele1, ele2, ...]Now, let’s look into some of the inbuilt list functions that would serve as a helping hand and make Python development easier:
Method name | Description | Syntax |
| reverse method | It is used to reverse the order of the list. | list.reverse() |
| index method | This method is used for returning the index of the first element with the specified value. | list.index(ele) |
| append method | This method will append an element at the end of your list. | list.append(ele) |
| extend method | This method will add the elements of a given list (or any iterable) to the end of the current list. | list.extend(iterable) |
| count method | It will return the number of elements with the particular value. | list.count(val) |
| remove method | This method will remove the initial occurrence of a given item from the list. | list.remove(ele) |
| sort method | This function is used to sort the list. | list.sort(reverse=True|False) |
| insert method | It will add an element at the position mentioned inside the function. | list.insert(position, element) |
| clear method | It will remove all the elements from the list. | list.clear() |
| pop method | This method will remove the element from the specified position and will return it. | list.pop(position) |
7) Tuples in Python
Tuples are Python entities that operate almost identically to lists but differ from lists in that they are immutable. The tuple’s components are initialized by prefixing their names with (and separating them with commas).
For example:
example = ("A", "B", "C", "D") print(example) print(example[1:3])
Output:
(A, B, C, D) (B, C)
There are two methods available for tuples:
Method name | Description | Syntax |
| index method | It retrieves the location after searching the tuple for a given value. | tuple.index(val) |
| count method | It provides the frequency with which a certain value appears in a tuple. | tuple.count(val) |
Conclusion
In this Python cheatsheet, we have covered some of the most important information about coding in Python. Python is used in various fields like web development, data science, machine learning, and software development.
It is one of the top trending languages in the IT industry, so it has a bright future that will provide various job opportunities to a candidate interested in software development.
An enthusiastic computer science engineer with experience working in Java applications. Skilled in C++, basics of Machine Learning, solving real-world problems, and passionate about learning new technologies. I also develop technical content to share knowledge and provide learning content.