Tutorial Playlist
200 Lessons1. Introduction to Python
2. Features of Python
3. How to install python in windows
4. How to Install Python on macOS
5. Install Python on Linux
6. Hello World Program in Python
7. Python Variables
8. Global Variable in Python
9. Python Keywords and Identifiers
10. Assert Keyword in Python
11. Comments in Python
12. Escape Sequence in Python
13. Print In Python
14. Python-if-else-statement
15. Python for Loop
16. Nested for loop in Python
17. While Loop in Python
18. Python’s do-while Loop
19. Break in Python
20. Break Pass and Continue Statement in Python
21. Python Try Except
22. Data Types in Python
23. Float in Python
24. String Methods Python
25. List in Python
26. List Methods in Python
27. Tuples in Python
28. Dictionary in Python
29. Set in Python
30. Operators in Python
31. Boolean Operators in Python
32. Arithmetic Operators in Python
33. Assignment Operator in Python
34. Bitwise operators in Python
35. Identity Operator in Python
36. Operator Precedence in Python
37. Functions in Python
38. Lambda and Anonymous Function in Python
39. Range Function in Python
40. len() Function in Python
41. How to Use Lambda Functions in Python?
42. Random Function in Python
43. Python __init__() Function
44. String Split function in Python
45. Round function in Python
46. Find Function in Python
47. How to Call a Function in Python?
48. Python Functions Scope
49. Method Overloading in Python
50. Method Overriding in Python
51. Static Method in Python
52. Python List Index Method
53. Python Modules
54. Math Module in Python
55. Module and Package in Python
56. OS module in Python
57. Python Packages
58. OOPs Concepts in Python
59. Class in Python
60. Abstract Class in Python
61. Object in Python
62. Constructor in Python
63. Inheritance in Python
64. Multiple Inheritance in Python
65. Encapsulation in Python
66. Data Abstraction in Python
67. Opening and closing files in Python
68. How to open JSON file in Python
69. Read CSV Files in Python
70. How to Read a File in Python
71. How to Open a File in Python?
72. Python Write to File
73. JSON Python
74. Python JSON – How to Convert a String to JSON
75. Python JSON Encoding and Decoding
76. Exception Handling in Python
77. Recursion in Python
78. Python Decorators
79. Python Threading
80. Multithreading in Python
81. Multiprocеssing in Python
82. Python Regular Expressions
83. Enumerate() in Python
84. Map in Python
85. Filter in Python
86. Eval in Python
87. Difference Between List, Tuple, Set, and Dictionary in Python
88. List to String in Python
89. Linked List in Python
90. Length of list in Python
91. Reverse a List in Python
92. Python List remove() Method
93. How to Add Elements in a List in Python
94. How to Reverse a List in Python?
95. Difference Between List and Tuple in Python
96. List Slicing in Python
97. Sort in Python
98. Merge Sort in Python
99. Selection Sort in Python
100. Sort Array in Python
101. Sort Dictionary by Value in Python
102. Datetime Python
103. Random Number in Python
104. 2D Array in Python
105. Abs in Python
106. Advantages of Python
107. Anagram Program in Python
108. Append in Python
109. Applications of Python
110. Armstrong Number in Python
111. Assert in Python
112. Binary Search in Python
113. Binary to Decimal in Python
114. Bool in Python
115. Calculator Program in Python
116. chr in Python
117. Control Flow Statements in Python
118. Convert String to Datetime Python
119. Count in python
120. Counter in Python
121. Data Visualization in Python
122. Datetime in Python
123. Extend in Python
124. F-string in Python
125. Fibonacci Series in Python
126. Format in Python
127. GCD of Two Numbers in Python
128. How to Become a Python Developer
Now Reading
129. How to Run Python Program
130. In Which Year Was the Python Language Developed?
131. Indentation in Python
132. Index in Python
133. Interface in Python
134. Is Python Case Sensitive?
135. Isalpha in Python
136. Isinstance() in Python
137. Iterator in Python
138. Join in Python
139. Leap Year Program in Python
140. Lexicographical Order in Python
141. Literals in Python
142. Matplotlib
143. Matrix Multiplication in Python
144. Memory Management in Python
145. Modulus in Python
146. Mutable and Immutable in Python
147. Namespace and Scope in Python
148. OpenCV Python
149. Operator Overloading in Python
150. ord in Python
151. Palindrome in Python
152. Pass in Python
153. Pattern Program in Python
154. Perfect Number in Python
155. Permutation and Combination in Python
156. Prime Number Program in Python
157. Python Arrays
158. Python Automation Projects Ideas
159. Python Frameworks
160. Python Graphical User Interface GUI
161. Python IDE
162. Python input and output
163. Python Installation on Windows
164. Python Object-Oriented Programming
165. Python PIP
166. Python Seaborn
167. Python Slicing
168. type() function in Python
169. Queue in Python
170. Replace in Python
171. Reverse a Number in Python
172. Reverse a string in Python
173. Reverse String in Python
174. Stack in Python
175. scikit-learn
176. Selenium with Python
177. Self in Python
178. Sleep in Python
179. Speech Recognition in Python
180. Split in Python
181. Square Root in Python
182. String Comparison in Python
183. String Formatting in Python
184. String Slicing in Python
185. Strip in Python
186. Subprocess in Python
187. Substring in Python
188. Sum of Digits of a Number in Python
189. Sum of n Natural Numbers in Python
190. Sum of Prime Numbers in Python
191. Switch Case in Python
192. Python Program to Transpose a Matrix
193. Type Casting in Python
194. What are Lists in Python?
195. Ways to Define a Block of Code
196. What is Pygame
197. Why Python is Interpreted Language?
198. XOR in Python
199. Yield in Python
200. Zip in Python
Python is a versatile and high-level programming language created by Guido van Rossum and first released in 1991. Its design philosophy emphasizes code readability and the use of significant whitespace.
You can take several paths to become a Python Developer, as there is no certain background or experience necessary. However, becoming a Python Developer starts with a specialized set of abilities, notably knowledge of Python programming.
Becoming a Python Developer is an exciting and lucrative career path in today's technology-driven world. Python, known for its simplicity and versatility, is a programming language in high demand across various industries. If you're a computer enthusiast or an experienced developer wanting to advance your career, Python is the right fit. In this article, we'll look at how to become a Python Developer.
Python is a general-purpose programming language with dynamic semantics to construct web applications on a server. The language allows you to integrate your systems effectively. The most recent version is Python 3.10.5, which became available on June 28, 2022.
Let's begin our exploration of Python with some simple examples:
code
# Hello World program in Python
print("Hello, World!")
This is the most basic Python program, which displays the text "Hello, World!" when executed.
code
# Basic arithmetic operations in Python
a = 5
b = 3
# Addition
sum_result = a b
print("Sum:, "sum_result)
# Subtraction
difference = a - b
print("Difference:", difference)
# Multiplication
product = a * b
print("Product:," product)
# Division
quotient = a / b
print("Quotient:," quotient)
In this example, we perform basic arithmetic operations using Python. Variables a and b are used to store numerical values.
A Python developer is a software engineer or programmer specializing in using Python to create software applications. Python developers design, code, test, and maintain software solutions.
Let's explore some Python developer's roles:
A Python web developer uses Python frameworks to build web applications. They handle server-side logic, database integration, and the overall architecture of web-based software.
A data scientist who is proficient in Python uses libraries like pandas, NumPy, and Matplotlib to manipulate data, perform statistical analysis, and create visualizations.
Machine learning engineers use Python libraries and sci-kit-learn to develop and train machine learning models.
Automation specialists and DevOps engineers use Python scripts to automate tasks such as deployment, configuration management, and monitoring.
According to GitHub research, the demand for Python Developers has risen in recent years, with a worldwide growth of 41%. According to the Popularity of Programming Language Index (PYPL), Python is the most popular programming language, and its usage on the platform increased by 22.5% year over year in 2022. The data analytics sector highly appreciates the language and estimates it might be worth $655 billion by 2029.
This demand can be attributed to several Python programming language advantages:
There are common responsibilities associated with Python development:
Here's a step-by-step guide on how to become a Python developer:
In the Python developer roadmap start by gaining a strong foundation in Python fundamentals, including:
Practice is essential for honing your entry-level Python developer skills. Work on coding challenges, small projects, and exercises regularly. Websites such as LeetCode and HackerRank offer Python coding challenges and Python developer course tutorials.
Based on your area of interest within Python development, explore relevant libraries and frameworks. Here are some examples:
Creating a portfolio benefits you by showcasing your skills to potential employers or clients. Your portfolio should include:
Once you have built a portfolio and feel confident in your Python skills, apply for developer jobs. Consider internships, entry-level roles, or freelance opportunities to gain real-world experience. Networking with professionals in the field can help you find job openings and make valuable connections.
As a Python developer, you'll need diverse entry-level Python developer skills to excel in your role:
Python's versatility is used in a wide range of domains and industries. Here are some areas where Python plays a crucial role:
The Python developer's salary in the USA in 2023 is based on experience, location, specialization, and the specific company or organization.
Data Structures and Algorithms (DSA) are fundamental concepts in computer science and programming. Python provides a rich set of built-in data structures and libraries that make it conducive to implementing DSA concepts. Let's explore DSA in Python with some examples:
Lists are ordered collections of elements. They can contain elements of different data types and are mutable, meaning you can modify them after creation.
code
# Creating a list
my_list = [1, 2, 3, 4, 5]
# Accessing elements
print(my_list[0]) # Output: 1
# Modifying elements
my_list[1] = 6
# Adding elements
my_list.append(7)
# Removing elements
my_list.remove(3)
Tuples are similar to lists but are immutable, meaning their elements cannot be changed after creation.
code
# Creating a tuple
my_tuple = (1, 2, 3)
# Accessing elements
print(my_tuple[0]) # Output: 1
# Tuple unpacking
a, b, c = my_tuple
Sets are unordered collections of unique elements. They are useful for tasks like removing duplicates from a list.
code
# Creating a set
my_set = {1, 2, 3, 4, 5}
# Adding elements
my_set.add(6)
# Removing elements
my_set.remove(3)
Dictionaries are collections of key-value pairs, where each key is unique. They are useful for storing and retrieving data based on a unique identifier.
code
# Creating a dictionary
my_dict = {"name": "Alice", "age": 30}
# Accessing values
print(my_dict["name"]) # Output: "Alice"
# Modifying values
my_dict["age"] = 31
# Adding key-value pairs
my_dict["city"] = "New York"
Linked lists are data structures made up of nodes, where each node contains data and a reference to the next node. Linked lists can be used to implement various data structures like stacks and queues.
code
class Node:
def __init__(self, data):
self.data = data
self.next = None
# Creating a linked list
node1 = Node(1)
node2 = Node(2)
node3 = Node(3)
node1.next = node2
node2.next = node3
Python is used to implement a wide range of algorithms. Here are some algorithmic concepts and examples:
Linear search is a simple searching algorithm that checks each element in a list until a match is found.
code
def linear_search(arr, target):
for i, element in enumerate(arr):
if element == target:
return i
return -1
# Example usage
my_list = [1, 2, 3, 4, 5]
result = linear_search(my_list, 3)
Binary search is an efficient algorithm for finding a specific value in a sorted list.
code
def binary_search(arr, target):
left, right = 0, len(arr) - 1
while left <= right:
mid = (left right) // 2
if arr[mid] == target:
return mid
elif arr[mid] < target:
left = mid 1
else:
right = mid - 1
return -1
# Example usage
my_sorted_list = [1, 2, 3, 4, 5]
result = binary_search(my_sorted_list, 3)
Bubble sort is a simple sorting algorithm that repeatedly steps through the list, compares adjacent elements, and swaps them if they are in the wrong order.
code
def bubble_sort(arr):
n = len(arr)
for i in range(n):
for j in range(0, n-i-1):
if arr[j] > arr[j 1]:
arr[j], arr[j 1] = arr[j 1], arr[j]
# Example usage
my_list = [64, 34, 25, 12, 22, 11, 90]
bubble_sort(my_list)
Quick sort uses a divide-and-conquer strategy to sort elements.
code
def quick_sort(arr):
if len(arr) <= 1:
return arr
pivot = arr[len(arr) // 2]
left = [x for x in arr if x < pivot]
middle = [x for x in arr if x == pivot]
right = [x for x in arr if x > pivot]
return quick_sort(left) middle quick_sort(right)
# Example usage
my_list = [64, 34, 25, 12, 22, 11, 90]
sorted_list
Python's relevance and significance are only growing as the IT sector evolves with the rise of big data, machine learning, and AI. Reports, market trends, and the significant number of firms actively seeking Python experts all indicate that there will still be a considerable need for Python developers in 2023.
People can take advantage of the numerous opportunities available across various professional paths by following how to become a Python developer and how to get a Python job with no experience steps discussed in the article and keeping pace with evolving technology.
1. What are the key responsibilities of a Python Developer?
Python Developers primarily design, code, and maintain software applications using Python. They collaborate with teams, integrate databases, and ensure the functionality and performance of software.
2. Is Python the best language for web development, and why?
Python is a strong choice for web development due to its simplicity and robust web frameworks like Django and Flask. These frameworks expedite development and maintainability.
3. What are the career prospects for Python Developers in India with 1-4 years of experience?
Early-career Python Developers in India can expect to earn an average total compensation of ₹602,323. They typically work on foundational projects and have room for skill growth.
4. How can Python Developers transition into data science roles?
Python's data analysis libraries (pandas, NumPy) provide a seamless transition into data science. Learning additional libraries like scikit-learn and attending data science courses is beneficial.
PAVAN VADAPALLI
Director of Engineering
Director of Engineering @ upGrad. Motivated to leverage technology to solve problems. Seasoned leader for startups and fast moving orgs. Working …Read More
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upGrad does not grant credit; credits are granted, accepted or transferred at the sole discretion of the relevant educational institution offering the diploma or degree. We advise you to enquire further regarding the suitability of this program for your academic, professional requirements and job prospects before enr...