If you are new to chess, you have likely heard the golden rule: “Chess is 99% tactics.” While positional understanding and endgame technique matter, the quickest way to climb the rating ladder as a beginner is to stop hanging pieces and start spotting simple two-move combinations.
This is where the legendary book 1001 Chess Exercises for Beginners by Franco Masetti and Roberto Messa comes in. But in the digital age, a physical book has a limitation: you can’t easily import it into chess software like Lucas Chess, ChessBase, or Lichess studies.
Enter the 1001 Chess Exercises for Beginners PGN file. This article explains what this resource is, why it will double your tactical vision, and exactly how to use the PGN (Portable Game Notation) version to go from a novice to a club player. 1001 chess exercises for beginners pgn
If you have acquired the PGN file for this collection, the method of study is as important as the material itself. To get the most out of the 1001 exercises, follow these guidelines:
.pgn fileConcatenate all 1,001 PGN games with \n\n between them. Master the Board: The Ultimate Guide to “1001
Most beginners solve 10 puzzles a day randomly. That is inefficient. The "1001 method" relies on spaced repetition and thematic clustering.
Consider this: If you solve 50 fork puzzles in a row, your brain learns to see enemy knights aimed at King and Queen. By the time you finish the 1,001 exercises, you aren’t just solving puzzles—you are rewriting your visual cortex. How to Study with the PGN If you
Use Python + python-chess:
import chess import chess.pgnTo Open and View PGN Files:
- Chess Software: Programs like ChessBase, Leela Chess Zero, or Stockfish can open and analyze PGN files.
- Online Tools: Websites such as Lichess or Chess.com allow you to upload and analyze PGN files directly in your browser.
Month 3: Mates in 2 and Mixed Review
- Goal: 20 puzzles/day (higher difficulty).
- Method: For mate-in-2, visualize the first move before touching the board. Check the solution. If wrong, play out the variation on the board to see why your candidate move failed.
- Final test: Shuffle all 1,001 exercises. Aim for 95% accuracy.
Example: convert a list of (FEN, solution_move) to PGN
def make_puzzle(fen, move_san, number): board = chess.Board(fen) game = chess.pgn.Game() game.headers["Event"] = f"Exercise number" game.headers["SetUp"] = "1" game.headers["FEN"] = fen node = game.add_variation(board.parse_san(move_san)) return game