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Python Projects & Free Books

Python Projects & Free Books

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Python Interview Projects & Free Courses Admin: @Coderfun

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📈 Analytical overview of Telegram channel Python Projects & Free Books

Channel Python Projects & Free Books (@pythonfreebootcamp) in the English language segment is an active participant. Currently, the community unites 40 411 subscribers, ranking 3 329 in the Technologies & Applications category and 9 294 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 40 411 subscribers.

According to the latest data from 29 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -298 over the last 30 days and by -5 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 4.48%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 0 views. Within the first day, a publication typically gains 0 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
  • Thematic interests: Content is focused on key topics such as learning, analyst, framework, link:-, structure.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Python Interview Projects & Free Courses Admin: @Coderfun”

Thanks to the high frequency of updates (latest data received on 30 October, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

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40 411
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-524 hours
-727 days
-29830 days
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Python for Everything: Python + Django = Web Development Python + Matplotlib = Data Visualization Python + Flask = Web Applications Python + Pygame = Game Development Python + PyQt = Desktop Applications Python + TensorFlow = Machine Learning Python + FastAPI = API Development Python + Kivy = Mobile App Development Python + Pandas = Data Analysis Python + NumPy = Scientific Computing

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Planning for Data Science or Data Engineering Interview. Focus on SQL & Python first. Here are some important questions which you should know. 𝐈𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭 𝐒𝐐𝐋 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 1- Find out nth Order/Salary from the tables. 2- Find the no of output records in each join from given Table 1 & Table 2 3- YOY,MOM Growth related questions. 4- Find out Employee ,Manager Hierarchy (Self join related question) or Employees who are earning more than managers. 5- RANK,DENSERANK related questions 6- Some row level scanning medium to complex questions using CTE or recursive CTE, like (Missing no /Missing Item from the list etc.) 7- No of matches played by every team or Source to Destination flight combination using CROSS JOIN. 8-Use window functions to perform advanced analytical tasks, such as calculating moving averages or detecting outliers. 9- Implement logic to handle hierarchical data, such as finding all descendants of a given node in a tree structure. 10-Identify and remove duplicate records from a table. SQL Interview Resources: https://topmate.io/analyst/864764 𝐈𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭 𝐏𝐲𝐭𝐡𝐨𝐧 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 1- Reversing a String using an Extended Slicing techniques. 2- Count Vowels from Given words . 3- Find the highest occurrences of each word from string and sort them in order. 4- Remove Duplicates from List. 5-Sort a List without using Sort keyword. 6-Find the pair of numbers in this list whose sum is n no. 7-Find the max and min no in the list without using inbuilt functions. 8-Calculate the Intersection of Two Lists without using Built-in Functions 9-Write Python code to make API requests to a public API (e.g., weather API) and process the JSON response. 10-Implement a function to fetch data from a database table, perform data manipulation, and update the database. Python Interview Resources: https://topmate.io/analyst/907371 Join for more: https://t.me/datasciencefun ENJOY LEARNING 👍👍

Create a Progress Bars using Python
Create a Progress Bars using Python

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⌨️ Python Dictionary Methods
⌨️ Python Dictionary Methods

⌨️ Calculate derivatives in Python
⌨️ Calculate derivatives in Python

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⌨️ Asynchronous code Asynchronous code is an approach to writing code that allows multiple tasks to be performed simultaneous
⌨️ Asynchronous code
Asynchronous code is an approach to writing code that allows multiple tasks to be performed simultaneously within a single process. This is achieved through the use of asynchronous functions and coroutines. Unlike synchronous code, which executes each task sequentially, asynchronous code can run multiple tasks “in parallel” and organize their execution using iterations and callback calls.

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